Re: [Matplotlib-users] why legend does not show in matplotlib-1.2.1 py2.7

[Jae-Joon Lee]

I do not have any access to mpl 0.98 so I cannot tell for sure. My guess is
that you have been using a feature that has not been intended, that has
fixed at some point. The first argument to legend should be a list of
artists. And pie2010 is a tuple of a list of patches and a list of texts,
i.e., they are not compatible with the current implementation of legend.
Maybe the below is what you wanted?

plt.legend( (pie2010[0]), ...)

Regards,

-JJ



On Fri, May 24, 2013 at 6:19 AM, Paul Hobson pmhob...@gmail.com wrote:

 Sorry I have to be so brief, but just like the error says, you fed the
 legend function the wedges returned by the pie command. But legend can't
 handle wedges. As the proxy artist tutorial hints, you need to feed it
 rectangles created manually (i.e., outside of any plotting commands).

 Hope that gets you started,
 -paul


 On Wed, May 22, 2013 at 8:06 AM, oyster lepto.pyt...@gmail.com wrote:

 the following code runs ok with py2.4 and matplotlib.0.98.3
 however no legend appears with py2.7.3 and matplotlib-1.2.1/1.3. and I get
 [quote]
 e:\prg\py\python-2.7.3\lib\site-packages\_matplotlib\matplotlib\legend.py:629:
 U
 serWarning: Legend does not support [matplotlib.patches.Wedge object at
 0x03842
 0F0, matplotlib.patches.Wedge object at 0x03842530,
 matplotlib.patches.Wedge
  object at 0x03842930, matplotlib.patches.Wedge object at 0x03842D30,
 matplo
 tlib.patches.Wedge object at 0x038B0150]
 Use proxy artist instead.


 http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist

   (str(orig_handle),))
 e:\prg\py\python-2.7.3\lib\site-packages\_matplotlib\matplotlib\legend.py:629:
 U
 serWarning: Legend does not support [matplotlib.text.Text object at
 0x03842310
 , matplotlib.text.Text object at 0x03842750, matplotlib.text.Text
 object at 0
 x03842B50, matplotlib.text.Text object at 0x03842F50,
 matplotlib.text.Text o
 bject at 0x038B0370]
 Use proxy artist instead.


 http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist

   (str(orig_handle),))
 [/quote]

 what's the matter? thanks

 [code]
 #coding=utf-8
 from pylab import *

 val2010 = [2, 10, 20, 15, 3]

 figure()

 pie2010=pie(val2010, labels=[u'%i persons' % i for i in val2010])

 plt.legend( (pie2010), [u'60', u'60~70', u'70~80', u'80~90',
 u'90~100'], loc = 'best', bbox_to_anchor = (0.90, 0.75) )
 axis('equal')

 show()
 [/code]


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Re: [Matplotlib-users] tight_layout and ImageGrid

[Jae-Joon Lee]

ImageGrid creates axes for colobar even if cbar_mode=None. These axes for
colorbar are set to invisible, so usually they are harmless.
tight_layout, however, do not care whether the axes is visible or not, and
the warning is because of these invisible axes for colorbars.
For comparison, if you turn on all colorbar with cbar_mode=each, the
warning will go away.

You may manually remove colorbar axes from the figure if you want,

```
for ax in grid.cbar_axes: fig._axstack.remove(ax)
```

but do this only when cbar_mode=None.

So, I think the warning is harmless.
I will make a pull request that make tight_layout to ignore any invisible
axes soon.

Regards,

-JJ




On Wed, May 8, 2013 at 10:21 PM, Jonathan Slavin jsla...@cfa.harvard.eduwrote:

 Hi,

 I wrote a short routine to look through a set of images that result from
 slightly different processing of the same data.  I want to compare three
 different images and be able to zoom them all in the same way and then
 move onto the next set of three.  The best way that I've found to do
 that so far involves using mpl_toolkits.axes_grid1.ImageGrid.  It all
 works fine.  I found that to get the most image on screen at once, using
 the tight_layout=True argument to plt.figure gives excellent results.
 My one question is that I get the following warning:

 WARNING: This figure includes Axes that are not compatible with
 tight_layout, so its results might be incorrect. [matplotlib.figure]

 As I say, the results are good, so it's not really a problem, but I do
 wonder about the source of the warngin -- and whether re-using the code
 in a different way in the future could lead to problems.  So, my
 question is: what is the problem pointed to by the warning and how could
 I avoid it (while still getting the same good results)?

 Regards,
 Jon
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Re: [Matplotlib-users] black and hatched legend handle

[Jae-Joon Lee]

You need to create a new handler. I guess the code below is close to what
you want. I hope this helps.

http://nbviewer.ipython.org/5495680

Regards,

-JJ



On Wed, May 1, 2013 at 5:24 AM, mgurling magurl...@gmail.com wrote:

 I'm trying to make a legend handle that is half black and half hatched.
 I've
 tried ...

 ...
 rpos1 = ax.bar(ind, pos1, width, color='k', label='+1')
 rneg1 = ax.bar(ind, neg1, width, color='w', hatch='///', label='-1')

 rpos2 = ax.bar(ind, pos2, width, color='w', label='+2')
 rneg2 = ax.bar(ind, neg2, width, color='w', label='-2')

 handles, labels = ax.get_legend_handles_labels()
 ax.legend( ((handles[0], handles[1]), handles[2]) , ('one', 'two') )
 ...

 The first handles--handles[0] and handles[1]--are combined but not side by
 side: the hatched rectangle is placed over the top of the black rectangle
 so
 the handle looks like it is just hatched. How might I create this mixed
 handle?



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Re: [Matplotlib-users] hammer projection

[Jae-Joon Lee]

The code below uses axisartist toolkit.

http://nbviewer.ipython.org/5467593

This is modified from 3rd example from the below example.

http://matplotlib.org/examples/axes_grid/demo_floating_axes.html

I hope this helps.
Regards,

-JJ




On Tue, Apr 23, 2013 at 11:17 PM, Marian Jakubik mjaku...@ta3.sk wrote:

 Hi all,

 is there any possibility to show only first quadrant in hammer
 projection? If it is not implemented in matplotlib, have you any trick
 for doing this?

 Thanks in advance for your help.

 Best,
 Marian


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Re: [Matplotlib-users] AnchoredSizeBar Color

[Jae-Joon Lee]

The anchored_artists needs improvements and things are still opaque.
For now you can do something like below,

```
a = AnchoredSizeBar(ax.transData, 0.1, test,
loc=8, pad=0.1, borderpad=0.1, sep=2, prop=None,
frameon=False)
rect = a.size_bar._children[0]
rect.set_ec(g)
```

`rect` is a patch instance responsible for the bar. By default its height
is 0 and facecolor=none.

Similarly, the text label can be accessed via `a.txt_label._text`.

Regards,

-JJ



On Wed, Apr 17, 2013 at 1:47 AM, Mathew Topper mathew.top...@ed.ac.ukwrote:

 Hi,

 Is there anyway to set the color of an AnchoredSizeBar artist from the
 mpl_toolkits.axes_grid.anchored_artists toolkit?

 Thanks,

 Mat
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Re: [Matplotlib-users] Trouble with legend and axis scaling

[Jae-Joon Lee]

The first issue is a bug, and I opened a PR that fixes this.

https://github.com/matplotlib/matplotlib/pull/1864

In the comments of the PR, you can find a workaround.

Regards,

-JJ




On Wed, Mar 27, 2013 at 11:09 PM, Hackstein news.hackst...@gmx.net wrote:

 Sterling,

 I'm using matplotlib version 1.2.0 with agg backend.

 Here are two code examples, one for each problem. The first one doesn't
 save the figure due to the legend problem, seterr causes the script to stop
 with an error at that position.
 The second example shows the scientific labels on the y-axis, although it
 should be disabled in the code. I can't get the y-axis to display plain
 labels.

 First example:
 [code]
 import numpy as np
 np.seterr(all='raise')
 import matplotlib.pyplot as plt

 x_i = [11.7574075935, 11.66520713579, 11.6762413105, 11.6580992311,
 11.65636838851]
 x_r = []
 dates = [2.83611000e-01,   2.69330463e+02,   2.70280648e+02,
 2.71359248e+02,   2.72320822e+02]

 diff = 0.16
 ra = [0., 110.5349726]
 dec = [0., -16.1061281]
 med_i = np.median(x_i)
 med_r = np.median(x_r)

 plt.figure(i_only, figsize=(14.40, 9.00), dpi=100)
 if x_r == []:
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
 else:
plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s')
plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
 plt.rcParams['xtick.major.pad']=10
 plt.rcParams['ytick.major.pad']=10
 ax = plt.gca()
 ax.title.set_y(1.1)
 formy = plt.ScalarFormatter()
 formy.set_powerlimits((-5, 5))
 formy.set_scientific(False)
 ax.yaxis.set_major_formatter(formy)
 ax.set_ylim(ax.get_ylim()[::-1])
 for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
 for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
 plt.xlabel('Days', fontsize='20', labelpad=20)
 plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)

 if x_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
   numpoints=1, ncol=2, borderaxespad=0.)
 else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
   numpoints=1, ncol=2, borderaxespad=0.)
 leg = plt.gca().get_legend()
 ltext = leg.get_texts()
 plt.setp(ltext, fontsize='16')
 plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
 plt.close(i_only)
 [/code]

 Second example:
 [code]
 import numpy as np
 import matplotlib.pyplot as plt

 y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168,
 11.12513415219]
 y_r = [11.14866716899, 11.10194503, 11.11235246531,
 11.11168787179, 11.1214449011]
 dates_i = [2.83611000e-01,   2.69330463e+02, 2.70280648e+02,
 2.72320822e+02, 2.73250579e+02]
 dates_r = [311.28215,   324.25844,   325.25194,   330.20983,   338.21356]

 diff = 0.16
 ra = [112.5379659, 110.5349726]
 dec = [ -15.9841039, -16.1061281]
 med_i = np.median(y_i)
 med_r = np.median(y_r)

 plt.figure(i_only, figsize=(14.40, 9.00), dpi=100)
 if y_r == []:
 plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
 plt.title('i_mag', fontsize='16')
 else:
 plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s')
 plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
 plt.title('i_mag', fontsize='16')
 plt.rcParams['xtick.major.pad']=10
 plt.rcParams['ytick.major.pad']=10
 ax = plt.gca()
 ax.title.set_y(1.1)
 formy = plt.ScalarFormatter()
 formy.set_powerlimits((-5, 5))
 formy.set_scientific(False)
 ax.yaxis.set_major_formatter(formy)
 ax.set_ylim(ax.get_ylim()[::-1])
 for tick in ax.xaxis.get_major_ticks():
 tick.label.set_fontsize(16)
 for tick in ax.yaxis.get_major_ticks():
 tick.label.set_fontsize(16)
 plt.xlabel('Days', fontsize='20', labelpad=20)
 plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)

 if y_r == []:
 plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
 else:
 plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
numpoints=1, ncol=2, borderaxespad=0.)
 leg = plt.gca().get_legend()
 ltext = leg.get_texts()
 plt.setp(ltext, fontsize='16')
 plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
 plt.close(i_only)
 [/code]

 Best regards,

 frix


 Am 26.03.2013 um 20:36 schrieb Sterling Smith smit...@fusion.gat.com:

  Frix,
 
  It may be useful to post the version and backend you are using to the
 list.
 
  import matplotlib
  print matplotlib.__version__
  print matplotlib.get_backend()
 
  Also, if you can format the code as a simple self-contained example,
 that would help others confirm what you are seeing.
 
  -Sterling
 
  On Mar 26, 2013, at 12:01PM, Hackstein wrote:
 
  Hello everyone,
 
  I have two issues with my current projects:
 
  1)  I automatically generate plots of several data sets in a for-loop,
 all of which have the same shape of x and y values, but some of which have
 two of 

Re: [Matplotlib-users] Squashed axes with AxesGrid

[Jae-Joon Lee]

It is not clear what your problem is.
AxesGrid implicitly assumes aspect=1 for each axes. So, I guess your
y-limits are smaller (in its span) than x-limits.
If you don't want this behavior, there is no need of using the AxesGrid.
Rather use Grid, or simply subplots.

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Grid

F = plt.figure(1,(5.5,3.5))
grid = Grid(F, 111,
nrows_ncols=(1,3),
axes_pad = 0.1,
add_all=True,
label_mode = 'L',
)

If this is not the answer you're looking for, I recommend you to post a
complete but simple script that reproduces your problem and describe the
problem more explicitly.

Regards,

-JJ


On Fri, Mar 22, 2013 at 6:03 AM, Steven Boada bo...@physics.tamu.eduwrote:

 Heya List,

 See attached image for what I mean.

 Here is the grid creation bit. I can't seem to figure out what might be
 causing such a problem.

 F = pyl.figure(1,(5.5,3.5))
 grid = AxesGrid(F, 111,
 nrows_ncols=(1,3),
 axes_pad = 0.1,
 add_all=True,
 label_mode = 'L',
 aspect=True)

 Should be simple enough right?

 --

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 Doctoral Student
 Dept of Physics and Astronomy
 Texas AM University
 bo...@physics.tamu.edu



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Re: [Matplotlib-users] removing paths inside polygon

[Jae-Joon Lee]

On Wed, Mar 13, 2013 at 2:17 AM, Andrew Dawson daw...@atm.ox.ac.uk wrote:

 You should see that the circle is no longer circular, and also there are
 weird line width issues. What I want it basically exactly like the attached
 without_clipping.png but with paths inside the circle removed.


The reason that circle is no more circle is that simply inverting the
vertices does not always results in a correctly inverted path.
Instead of following line.

interior.vertices = interior.vertices[::-1]

You should use something like below.

interior = mpath.Path(np.concatenate([interior.vertices[-2::-1],
  interior.vertices[-1:]]),
  interior.codes)

It would be good if we have a method to invert a path.

This will give you a circle. But the weird line width issue remains. This
seems to be an Agg issue, and the line width seems to depend on the dpi.
I guess @mdboom nay have some insight on this.

Regards,

-JJ
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Re: [Matplotlib-users] I cannot change the axis tick separation or nbins in Axis artist

[Jae-Joon Lee]

AxisArtist utilizes a different (compared to the vanilla matplotlib)
mechanism for determining tick location etc., so some of the
matplotlibcommands do not work.
Unfortunately, AxisArtist is still not well documented, and things are
often opaque. Below I implemented a method that you can use to control the
nbins. To manually specify  the tick locations you need to use the
FixedLocator.

IHTH,

-JJ


class TaylorDiagram(object):
...
def set_nbins(self, nbins):
ghelper = self._ax.get_grid_helper() # get grid_helper
ghelper.grid_finder.grid_locator2.set_params(nbins=nbins) # update
the parameter of the grid_locator2 (2 means 2nd coordinate).
Helper. invalidate () # invalidate the helper so that new
parameters become effective




On Thu, Feb 21, 2013 at 6:08 PM, patricia ptramba...@hotmail.com wrote:

 Dear Jody,
 This is the original code that I am using:
 http://old.nabble.com/Taylor-diagram-(2nd-take)-p33364690.html
 It is a code that plots Taylor diagrams.
 I would like to get ticks every two points in the standard deviation axis
 of
 the Taylor diagrams to avoid overlapping of labels (as I am making a figure
 with several small Taylor Diagrams subplots).
 Thanks!
 Patricia



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Re: [Matplotlib-users] Problem with PatchCollection and FancyArrowPatch?

[Jae-Joon Lee]

FancyArrowPatch behaves quite differently from normal patches.
Most importantly, the path must be reevaluated during the drawing time, so
a normal PatchCollection, which evaluate the paths during the instance
creation, won't work. i.e., you need a new Collection class.

Below is a very incomplete implementation of FancyArrowPatchCollection,
just for a demonstration purpose. And I recommend you to open a wishlist
ticket at the issue tracker (https://github.com/matplotlib/matplotlib/issues
).

Regards,

-JJ


class FancyArrowPatchCollection(PatchCollection):
def set_paths(self, patches):
self._patches = patches

def get_paths(self):
paths = []
for p in self._patches:
p.set_transform(self.get_transform())
_path, fillable = p.get_path_in_displaycoord()
paths.extend(_path)
return paths

def _prepare_points(self):
import matplotlib.transforms as mtransforms
transform, transOffset, offsets, paths =
PatchCollection._prepare_points(self)
return mtransforms.IdentityTransform(), transOffset, offsets, paths




On Thu, Jan 31, 2013 at 6:33 AM, Skipper Seabold jsseab...@gmail.comwrote:

 Hi,

 Trying to figure out why these two do not create the same plot. Bug or
 user error?

 import matplotlib.pyplot as plt
 from matplotlib.patches import FancyArrowPatch
 from matplotlib.collections import PatchCollection

 def correct_patch(pos):
 fig, ax = plt.subplots()
 for src, dst in pos:
 arrow = FancyArrowPatch(posA=src, posB=dst,
 color='k', arrowstyle='-|',
 mutation_scale=30, connectionstyle=arc3)
 ax.add_patch(arrow)
 return fig

 def patch_collection_problem(pos):
 fig, ax = plt.subplots()
 pos = [[(.5, .5), (.25, .25)],
[(.1, .5), (.2, .75)]]
 arrows = []
 for src, dst in pos:
 arrows.append(FancyArrowPatch(posA=src, posB=dst,
 color='k', arrowstyle='-|',
 mutation_scale=30, connectionstyle=arc3))
 collection = PatchCollection(arrows, match_original=True)

 ax.add_collection(collection, autolim=False)
 return fig

 pos = [[(.5, .5), (.25, .25)],
   [(.1, .5), (.2, .75)]]

 correct_patch(pos)
 patch_collection_problem(pos)


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Re: [Matplotlib-users] FancyArrowPatch to edge of marker with known size?

[Jae-Joon Lee]

On Wed, Jan 30, 2013 at 7:11 AM, Skipper Seabold jsseab...@gmail.comwrote:

 Say I have a marker with a known size in points and I want to draw an
 arrow to this point. How can I get the ends points for the arrow? As you
 can see in the below, it overlaps the markers. I want to go to the edge. I
 can use shrinkA and shrinkB to do what I want, but I don't see how they're
 related to the points size**.5. Or should I somehow do the transformation
 using the known angle between the two points and the point itself. I don't
 know how to translate a point in data coordinates and the offset it in a
 certain direction by size**.5 points. Can anyone help clear this up?


Can you elaborate why you cannot just use shrinkA and shrinkB?

arrows = FancyArrowPatch(posA=(x1, y1), posB=(x2, y2),
 color = 'k',
 arrowstyle=-|,
 mutation_scale=700**.5,
 shrinkA=(700**.5)*.5, shrinkB=(700**.5)*.5,
 connectionstyle=arc3)

What the problem of doing above?

Note that the unit of shrinkA and shrinkB is points, and they are
independent of mutation_scale, which only affects the size of the arrow.

Regards,

-JJ
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Re: [Matplotlib-users] CMYK

[Jae-Joon Lee]

I agree with Eric that what we need is a backend that support CMYK color
space.
But matplotlib may need to provide some framework for handling the color
profiles etc.

My limited experience with ps_myck backend (
https://github.com/leejjoon/mpl_ps_cmyk) suggests that, as far as
matplotlib provide some framework for color conversion,
implementing/modifying a backend to support cmyk should not be difficult.

So, yes, we need someone to write a MEP.

Regards,

-JJ



On Thu, Jan 31, 2013 at 4:30 AM, Eric Firing efir...@hawaii.edu wrote:

 On 2013/01/30 9:13 AM, Paul Kuin wrote:
  For what it's worth.
 
  While the RGB system is native to monitor devices, since they produce
  light of certain colours, CMYK is the colour system of printer
  materials etc. since they absorb the colours, but reflect those we
  see.  That means designs must be made in CMYK for pronter materials
  and in RGB for our devices. The response of each medium or device is
  different. RGB will have part of the colour space not accessible in
  some devices, while in printed materials it is different again. The
  basic thing is colour space, while RGB and CMYK can be seen as a map.
  In the real world you have to look at the product to see if the
  colours come out right.
 
  Not sure what to make of any implementation of this, but a simple
  mapping should not be impossible.

 Granted, a mapping within the intersection of the two spaces
 respectively accessibly to RGB and CMYK is possible, but I think it
 makes more sense to do it as a separate operation on the ps or pdf file
 than to try to build it into mpl.  If it were to be built in, I think it
 would have to be bolted onto the ps and pdf backends.  I suspect that
 the alpha channel will make this quite complicated, much more so than a
 simple mapping; it will require an intermediate rendering step.

 Eric

 
  Cheers,
 
  Paul
 
  On Wed, Jan 30, 2013 at 6:38 PM, Eric Firing efir...@hawaii.edu wrote:
  On 2013/01/30 6:43 AM, Michael Droettboom wrote:
  We don't currently have any support -- and we're still struggling in
  certain areas supporting RGBA consistently across the system.
 
  I think this would take someone writing a MEP (as a preliminary study
 of
  all of the changes that would be involved) and then shepherding it
  through implementation.
 
  My somewhat vague recollection is that CMYK is fundamentally
  output-device dependent, and therefore it really doesn't make much sense
  for a plotting library to support it directly.  The conversion from RGBA
  should be made by the publisher, knowing what the output device
  characteristics are.
 
  Eric
 
 
  Mike
 
  On 01/30/2013 11:10 AM, Ignas Anikevičius wrote:
  On 29/01/13 03:37:51 -0800, Dieter wrote:
  I was wondering if anything changed regarding this within the last
 2.5 years
  since the last thread. Is there a way to produce CMYK with
 matplotlib?
  Hello everybody,
 
  I would be also interested in how to produce CMYK graphics without
  external fiddling.
 
  Cheers,
  Ignas



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Re: [Matplotlib-users] Baseline of TeX fonts

[Jae-Joon Lee]

I guess you have text.usetex=True?
In this case, the baselines are not correct unless you also set
text.latex.preview as True.
For example, try to add following line in your rc file.

text.latex.preview : True

(You also need preview.sty installed)

If this does not solve the problem, please post a screenshot
that demonstrating the problem with your rc file.

Regards,

-JJ



On Sun, Jan 20, 2013 at 5:24 PM, Magician f_magic...@mac.com wrote:

 Hi all,


 I'm using matplotlib 1.1.0 for Python27 on Windows 7.

 I'd like to apply TeX fonts at legends and labels.
 But if I try to do, the texts' baselines become upper,
 and the layouts get out of shapes.
 For example, I set legend titles as below:
 - 'Plot 1'
 - r'Plot 2 ($\alpha$)'
 -'Plot 3'
 then only the second one was raised.
 Both Computer Modern and \mathdefault fonts have same issues.

 I want to fix all the baselines as default positions.
 Does anyone have good ideas?


 Magician


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Re: [Matplotlib-users] Subaxes deletion issue

[Jae-Joon Lee]

The divider thing from axes_grid toolkit is primarily designed for a static
layout. So, it may become quite tricky when you want to adjust the layout
dynamically.

Here is a modified version your code that I think does what you want.

from matplotlib.figure import Figure
from mpl_toolkits.axes_grid.axes_divider import make_axes_locatable
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as
FigureCanvas
from PyQt4.QtCore import *
from PyQt4.QtGui import *
import sys

class Test(QWidget):
def __init__(self):
QWidget.__init__(self)
self.resize(1000, 600)
self.fig = Figure(figsize=(100,100), dpi=75)
axes1 = self.fig.add_subplot(121)
axes2 = self.fig.add_subplot(122)

self.subaxes = []
self.main_axes = [axes1, axes2]
self.locators_orig = []
for ax in [axes1, axes2]:
make_axes_locatable(ax)
self.locators_orig.append(ax.get_axes_locator())

self.divider = make_axes_locatable(ax)
self.subaxes.append(self.divider.append_axes(right, 40%,
20%))

b = QPushButton(Remove subaxes)
b.clicked.connect(self.OnBtnClicked)
l = QHBoxLayout()
l.addWidget(FigureCanvas(self.fig))
l.addWidget(b)
self.setLayout(l)

def OnBtnClicked(self):
for sa in self.subaxes:
self.fig.delaxes(sa)
del sa
for ax, locator in zip(self.main_axes, self.locators_orig):
ax.set_axes_locator(locator)
self.fig.canvas.draw()

app = QApplication(sys.argv)
win = Test()
win.show()
sys.exit(app.exec_())


IHTH,

-JJ




On Fri, Jan 18, 2013 at 6:57 AM, gad massi_...@msn.com wrote:

 Hi everyone,

 I'm getting in trouble trying to delete a couple of subaxes from my canvas.
 The problem is shown by the example script below:

 from matplotlib.figure import Figure
 from mpl_toolkits.axes_grid.axes_divider import make_axes_locatable
 from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as
 FigureCanvas
 from PyQt4.QtCore import *
 from PyQt4.QtGui import *
 import sys

 class Test(QWidget):
 def __init__(self):
 QWidget.__init__(self)
 self.resize(1000, 600)
 self.fig = Figure(figsize=(100,100), dpi=75)
 axes1 = self.fig.add_subplot(121)
 axes2 = self.fig.add_subplot(122)

 self.subaxes = []
 for ax in [axes1, axes2]:
 self.divider = make_axes_locatable(ax)
 self.subaxes.append(self.divider.append_axes(right, 40%,
 20%))

 b = QPushButton(Remove subaxes)
 b.clicked.connect(self.OnBtnClicked)
 l = QHBoxLayout()
 l.addWidget(FigureCanvas(self.fig))
 l.addWidget(b)
 self.setLayout(l)

 def OnBtnClicked(self):
 for sa in self.subaxes:
 self.fig.delaxes(sa)
 del sa
 self.fig.canvas.draw()

 app = QApplication(sys.argv)
 win = Test()
 win.show()
 sys.exit(app.exec_())


 The main window is made up of two main axes an two subaxes placed on their
 right side. If you click the button in the window, the two subaxes
 disappear
 as I expect, but the orignal axes don't resize. Is there something I am
 missing? Or can anyone point me out if there is a better way to achieve
 this?

 Thanks in advance!



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Re: [Matplotlib-users] dpi

[Jae-Joon Lee]

 Yeah, that's what I feared. But in the mean time, are there any best
 practices to minimize undesired effects like the one above? For example,
 are there any other functions that need special parameters to not raster
 their output when writing to a vector format? And is there a way to get
 a figure on the screen with the right size when I don't know what dpi
 the monitor is running with?

As I said, if you use interpolation=none with your inshow, the
original image will be sent to the backends.

Figuring out the dpi of the screen, I have no clue at this moment.
Maybe this is something a gui expert can answer.

Regards,

-JJ

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Re: [Matplotlib-users] dpi

[Jae-Joon Lee]

On Fri, Oct 12, 2012 at 3:39 AM, Nikolaus Rath nikol...@rath.org wrote:
 matplotlib actually rescales the raw imshow data when saving to a vector
 format? Why is that? I think it should embed the bitmap with full
 resolution in the vector file and rely on the consumer of the vector
 file to scale it to whatever resolution is supported by the display
 device.

imshow supports interpolation and that's why rasterization comes in.
If you turn off interpolation (w/ interpolation=none), the original
image will be embedded. Of course dpi has no meaning in this case.

However, I agree with you that dpi should be a property of the backend
only, not the figure. But I am not sure if this can be fixed soon. It
will be difficult and will take lots of effort I think.

-JJ

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Re: [Matplotlib-users] Fwd: zoomed in detail box

[Jae-Joon Lee]

Your code works as expected in my side.
So, changing (0.5, 0.5) to something like  (0.6, 0.5) has no effect in
your side?
Hmm, what is you matplotlib version? Maybe this is a bug in old
version of matplotlib.

Regards,

-JJ


On Wed, Sep 12, 2012 at 6:16 PM, darkside in.the.darks...@gmail.com wrote:
 Thank you for your help.

 A simple example that doesn't work for me is:
 
 import pylab as p
 import numpy as np
 from mpl_toolkits.axes_grid.inset_locator import zoomed_inset_axes
 from mpl_toolkits.axes_grid.inset_locator import mark_inset
 from mpl_toolkits.axes_grid.anchored_artists import AnchoredSizeBar
 from matplotlib.ticker import MaxNLocator

 fig = p.figure(figsize=(12,8))
 ax = p.subplot(111)

 z = p.arange(0,1.415,0.01)
 d = z**2+np.random.random(len(z))

 ax.plot(z,d,'ro',label='text')

 p.xlabel('z',fontsize=18)
 p.ylabel('Luminosity distance',fontsize=18)
 p.grid(True)

 axins = zoomed_inset_axes(ax,
 3,bbox_to_anchor=(0.5,0.5),bbox_transform=ax.figure.transFigure, loc=2)


 axins.plot(z,d,'r.')

 ax.legend(loc=2,bbox_to_anchor=(1,1))

 x,y = (0.86,1.3)
 x2,y2 = (1,1.7)
 axins.set_xlim(x,x2)
 axins.set_ylim(y,y2)
 axins.tick_params(axis='both',labelsize=12)
 axins.xaxis.set_major_locator(MaxNLocator(2))
 axins.yaxis.set_major_locator(MaxNLocator(3))

 mark_inset(ax,axins,loc1=1,loc2=3, fc=none, ec=0.5)

 p.draw()
 p.show()
 ---
 The bbox_to_anchor label is supposed to move the zoomed axis, but it does
 nothing, no matter what two numbers I place there.
 I guess that I miss something, but I can't figure out what. I really
 appreciate your help.

 Best regards,
 Illa



 2012/9/5 Jae-Joon Lee lee.j.j...@gmail.com

 On Mon, Aug 20, 2012 at 10:50 PM, darkside in.the.darks...@gmail.com
 wrote:
  I am using zoomed_inset_axes, but the default position overlaps the
  yticks
  and the parent axe ticks, so I am trying:
  axins = zoomed_inset_axes(ax,
  3,bbox_to_anchor(0.5,1),bbox_transform=ax.figure.transFigure, loc=2)

 This is supposed to work, and my quick test did work. Can you post a
 complete but simple exampl?

 Regards,

 -JJ



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Re: [Matplotlib-users] Legend Marker Color Bug

[Jae-Joon Lee]

On Wed, Sep 5, 2012 at 6:05 AM, Sterling Smith smit...@fusion.gat.com wrote:
 I still do not get black markers.  Furthermore, if you try to make a new 
 legend with the result of leg.get_lines(), you will get lines without 
 markers, which leads me to the conclusion I stated in my previous email 
 (which you did not copy)
 I suspect that this is because the legend marker is drawn separately from 
 the legend line to accommodate the numpoints argument of the legend 
 functions.  Then the question is how to access these markers if they are 
 separate from the line2d objects in the legend.  I didn't even see them in 
 the children of the legend [legend.get_children()].

This is correct. To support legend handle like --o-- (i.e., no markers
at the ends), lines and markers are drawn as a separate artist. You
may use something like,

line[0]._legmarker.set_markerfacecolor('black')
line[1]._legmarker.set_markerfacecolor('black')

I, personally, recommend you to use a proxy artist.

http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist

For example,

You may do something like

import pylab
pylab.plot(pylab.linspace(0,1,100),marker='o',ls='')
pylab.plot(pylab.linspace(0,1,100),marker='o',ls='-')

# creates artists for legend purpose only
l1, = pylab.plot(pylab.linspace(0,1,100), 'ko-')
l2, = pylab.plot(pylab.linspace(0,1,100), 'ko')
# remove them from the axes.
l1.remove()
l2.remove()

leg=pylab.legend([l1, l2], [Test 1, Test 2], loc='best')

Regards,

-JJ

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Re: [Matplotlib-users] Problems with rasterizing multiple elements

[Jae-Joon Lee]

I recommend you to use LineCollection as it is rasterized as a single image.

For example,

from matplotlib.collections import LineCollection
d = [np.array([ts[0], ys1]).T for ys1 in ys]

lc = LineCollection(d, color='r', lw=0.5, alpha=0.5,
rasterized=True)
ax.add_collection(lc)


ax.set_xlim(0, 7)
ax.set_ylim(-1, 1)


If you need to stick to plot command somehow, you need to create your
own artist.
There is a similar example,

http://matplotlib.sourceforge.net/examples/pylab_examples/demo_agg_filter.html

Take a look at the FilteredArtistList class. Your draw method should
be something like

def draw(self, renderer):
renderer.start_rasterizing()
for a in self._artist_list:
a.draw(renderer)
renderer.stop_rasterizing()


IHTH,

-JJ


On Wed, Aug 22, 2012 at 2:45 AM, Peter St. John peterc.stj...@gmail.com wrote:
 Hi Everyone,

 I'm having problems when rasterizing many lines in a plot using the
 rasterized=True keyword using the pdf output.
 Some version info:
 matplotlib version 1.1.1rc
 ubuntu 12.04
 python 2.7.3


 Here's a basic example that demonstrates my problem:
 # Import matplotlib to create a pdf document
 import matplotlib
 matplotlib.use('Agg')
 from matplotlib.backends.backend_pdf import PdfPages
 pdf = PdfPages('rasterized_test.pdf')

 import matplotlib.pylab as plt

 # some test data
 import numpy as np
 ts = np.linspace(0,2*np.pi,100) * np.ones((200,100))
 ts += (np.linspace(0, np.pi, 200)[np.newaxis] * np.ones((100,200))).T
 ys = np.sin(ts)

 fig = plt.figure()
 ax = fig.add_subplot(111)
 ax.plot(ts[0], ys.T, color='r', lw=0.5, alpha=0.5, rasterized=True)
 pdf.savefig()

 pdf.close()



 Essentially, I have a lot (200 in this case) of closely overlapping lines
 which makes the resulting figure (not rasterized) overly difficult to load.
 I would like to rasterize these lines, such that the axis labels (and other
 elements of the plot, not shown) remain vectors while the solution
 trajectories are flattened to a single raster background. However, using the
 code above, the image still takes a long time to load since each trajectory
 is independently rasterized, resulting in multiple layers. (If I open the
 resulting pdf with a program like inkscape, I can manipulate each trajectory
 independently.)

 Is it possible to flatten all of the rasterized elements into a single
 layer, so the pdf size would be greatly reduced?

 Thanks,
 --Peter


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Re: [Matplotlib-users] Fwd: zoomed in detail box

[Jae-Joon Lee]

On Mon, Aug 20, 2012 at 10:50 PM, darkside in.the.darks...@gmail.com wrote:
 I am using zoomed_inset_axes, but the default position overlaps the yticks
 and the parent axe ticks, so I am trying:
 axins = zoomed_inset_axes(ax,
 3,bbox_to_anchor(0.5,1),bbox_transform=ax.figure.transFigure, loc=2)

This is supposed to work, and my quick test did work. Can you post a
complete but simple exampl?

Regards,

-JJ

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Re: [Matplotlib-users] FancyBBox set_width

[Jae-Joon Lee]

On Sun, Aug 19, 2012 at 3:41 PM, Peter Combs pcombs+...@gmail.com wrote:
 It seems like draw()ing the text object will reset the size of the BBox...
 Any idea how to fix this? At the moment, I'm experimenting with continually
 drawing, polling the get_width() method, and when it's too small, adding in
 spaces around the text field, but that seems both not to work reliably, and
 be an incredibly boneheaded way to go about it.

 I'm using matplotlib v. 1.1.0 if that makes a difference.


 --\
 |text  
 --/
 not
 --\
 | text 
 --/

A recommended way of doing this is to make a custom BoxStyle,


from matplotlib.patches import BoxStyle
class MyRArrow(BoxStyle.RArrow):
def transmute(self, x0, y0, width, height, mutation_size):
# mutation_size is a fontsize in pixel scale.
total_width = mutation_size*10
dw = (total_width-width)*.5
p = BoxStyle.RArrow.transmute(self, x0-dw, y0, total_width, height,
  mutation_size)

return p

ax = subplot(111)
txtobj = ax.text(0.5, 0.5, 'text', ha=center,
 bbox=dict(boxstyle=MyRArrow()))

txtobj = ax.text(0.5, 0.3, 'long text', ha=center,
 bbox=dict(boxstyle=MyRArrow()))


However, BoxStyle does not know of the axes/figure/renderer, i.e., you
cannot make its width to some fraction of figure width, for example.
If this is what you want, you may need to derive from FancyBboxPatch
as Daniel Hyams suggested.

Regards,

-JJ

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Re: [Matplotlib-users] Getting tight layout to recognize the second axis via twinx()

[Jae-Joon Lee]

On Wed, Aug 29, 2012 at 4:52 PM, Eric Firing efir...@hawaii.edu wrote:
 twinx and twiny probably will need to return SubplotBase
 instances if their parent is a SubplotBase instance.

My take on this.

https://github.com/matplotlib/matplotlib/pull/1169

And, tight_layout seem to work okay with this change.

Regards,

-JJ

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Re: [Matplotlib-users] path effects question

[Jae-Joon Lee]

I think it is me who put that code there. But I cannot recall why I did it.
I may have copied that behavior from other code, but cannot find which.

Yes, I agree that the current behavior is not very desirable.
So, anyone who have an idea how this should behave, please go ahead
and fix this.

Regards,

-JJ


On Sun, Jul 15, 2012 at 1:54 AM, John Hunter jdh2...@gmail.com wrote:


 On Sat, Jul 14, 2012 at 11:48 AM, John Hunter jdh2...@gmail.com wrote:

 I do not understand why in the following example, if I set
 patch_alpha=1.0, I do not see the shadow effect.  I would expect to see it
 for the the rightmost four bars, where the original bars do not entirely
 occlude the shadow, so even if alpha is 1.0, there are parts of the shadow
 that are not behind the original bars and should still be visible.




 I now see that this line explains the behavior

 https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/patheffects.py#L183

  gc0.set_alpha(1.-self._patch_alpha)

 so maybe I should amend my question: is this desirable that the shadow alpha
 is 1-patch_alpha, since an alpha of 1 on the patch does not imply that there
 is no visible shadow?



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Re: [Matplotlib-users] Bug in legend?

[Jae-Joon Lee]

Handling alpha can become very tricky with matplotlib.
The problem is not specific for legend thing, but how attribute of
patches are updated when the update_from method is called.
Here is an example.


  from matplotlib.patches import Patch

  pa1 = Patch(alpha=None, fc='none', ec='b')
  pb1 = Patch(alpha=1, fc='none', ec='b')

  pa2 = Patch()
  pb2 = Patch()

  pa2.update_from(pa1)
  pb2.update_from(pb1)

  assert pa1.get_fc() == pa2.get_fc()
  assert pb1.get_fc() == pb2.get_fc()

And the second assertion fails.
fc=none sets facecolor to (0,0,0,0) but when update_from is called,
somehow its alpha value is overridden to 1 (because of alpha=1).
This seems to be a bug and maybe we need to tweak the update_from
method to get it right. But others may think differently. I'll file an
issue with it.

Meanwhile, please explicitly set fill=False to avoid filling. e.g.,

  ax.fill(y,x, label='alpha=1', alpha=0.5, fc='none', ec='r', fill=False)

Regards,

-JJ




On Tue, Apr 17, 2012 at 12:49 AM, Paul Hobson pmhob...@gmail.com wrote:
 On Mon, Apr 16, 2012 at 4:58 AM, Yannick Copin
 yannick.co...@laposte.net wrote:
 Hi List,

 I think I found a bug in legend of a fill command (see attached code and
 figure) when the facecolor is 'none' but the alpha is not None (I'm using
 latest matplotlib 1.1.0). If confirmed, should I fill in a but report?

 I see identical behavior in Christoph Gohlke's Windows build of
 Matplotlib 1.2.X for Python 3.2.

 The same thing occurs if you remove the alpha=None altogether.
 -paul

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Re: [Matplotlib-users] move legend to the foreground: how to use set_zorder() correctly?

[Jae-Joon Lee]

zorders are only meaningful among objects in a same axes.

An easy workaround is to move the legend in ax1 to ax2.

   ax2.add_artist(leg1)
   ax1.legend = None

Regards,

-JJ



On Thu, Mar 22, 2012 at 10:13 PM, David Verelst david.vere...@gmail.com wrote:
 Hi All,

 I am plotting on two different y-axes: one on the left (ax1) and one on
 the right (ax2). Both share the same x-axes. The problem I am facing
 relates back to the zorder of the legend (at least, that is what I
 think): I want it to be on the foreground at all times. In order to do
 so, I change the zorder of the ax1.legend (left y axes) such that the
 ax2.plots (right y-axes) are under ax1.legend. However, that doesn't
 work: all the plots on the right axes (so using ax2) end up above the
 legend 1 on the left, despite having a lower zorder.

 Note that I am also giving the grids on both ax1 and ax2 a lower zorder
 value compared to the legends, but the grid still ends up on top of
 legend 1 on the left.

 # version info:

 # Python 2.6.5 (r265:79063, Apr 16 2010, 13:57:41) [GCC 4.4.3] on linux2

 # NumPy 1.6.1, Matplotlib 1.1.0

 import pylab as plt

 import numpy as np

 # plotting on the left y-axes,

 ax1 = plt.axes(zorder=10)

 ax1.plot(range(0,5,1), 'r', label='ax1 ax1 ax1 ax1', zorder=11)

 ax1.plot(np.arange(3,4.1,1), 'r--', label='ax1 ax1 ax1 ax1', zorder=12)

 gr1 = ax1.grid(zorder=13)

 # legend of the left y-axes, force high zorder

 leg1 = ax1.legend(loc='upper left')

 leg1.set_zorder(30)

 # plotting on the right y-axes,

 ax2 = plt.twinx()

 ax2.set_zorder(20)

 ax2.plot(range(4,-1,-1), 'b', label='ax2 ax2 ax2 ax2', zorder=21)

 ax2.plot(np.arange(4,2.9,-1), np.arange(3,4.1,1), 'b--',

 label='ax2 ax2 ax2 ax2', zorder=22)

 gr2 = ax2.grid(zorder=23)

 # legend of the right y-axes, force high zorder

 leg2 = ax2.legend(loc='upper right')

 leg2.set_zorder(40)

 print '=== zorder:'

 print ' ax1: %i' % ax1.get_zorder()

 print ' ax2: %i' % ax2.get_zorder()

 print 'leg1: %i' % leg1.get_zorder()

 print 'leg2: %i' % leg2.get_zorder()


 What am I missing here?
 Thanks,
 David



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Re: [Matplotlib-users] Arrow with a dashed line

[Jae-Joon Lee]

Just to clarify, both arrowstyle='simple' and arrowstyle='-|' draw
arrows as patches. In your first example with arrowstyle='simple', the
arrow is drawn as filled patch without edges, i.e., linestyle is not
effective. arrowstyle=-| also uses a patch but no fill, only
stroke.

Regards,

-JJ

On Tue, Mar 13, 2012 at 3:28 AM, Tony Yu tsy...@gmail.com wrote:
 Nevermind: I though arrowstyle='simple' and arrowstyle='-|' were the same
 thing, but apparently not (I guess one draws the line as a patch, and the
 other as a line). So the following works as expected:

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Re: [Matplotlib-users] Taylor diagram (2nd take)

[Jae-Joon Lee]

On Wed, Feb 22, 2012 at 12:10 AM, Yannick Copin
yannick.co...@laposte.net wrote:
 after iterating with Michael A. Rawlins over my previous attempt to code a
 Taylor diagram (see [1]), here's a new version of my code, along with an
 example plot. Maybe it could make its way into the gallery as an example of
 Floating Axes and Grid Finder (even though I'm not sure the code is
 particularly exemplary, comments are welcome).

Good to know that someone is using axisartist toolkit.
Just a quick comment.


def add_grid(self, *args, **kwargs):
Add a grid.

self.ax.grid(*args, **kwargs)


Maybe you wanted self._ax.grid?

Regards,

-JJ

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Re: [Matplotlib-users] Centering Text with axes_divider

[Jae-Joon Lee]

I wonder why the simple text command does not work for you? e.g.,

def add_center_text(ax):
ax.text(0.5, 0.9075, Centered Title, ha='center', va='center',
fontsize=18,
bbox=dict(boxstyle='round, pad=0.5, rounding_size=0.25', fc=white,
  ec=k, lw=2),
transform=ax.transAxes)

Also, annotate command gives you more flexibility in text positioning.

The axes location is supposed to be known during the drawing time. To
get the axes position, you may do  something like

   ax1._axes_locator(ax1, fig._cachedRenderer)

Of course, this need to be done after the figure is properly drawn
(e.g., after calling draw()) or during the drawing time.

Regards,

-JJ


On Sat, Mar 10, 2012 at 1:00 PM, Patrick Marsh patrickmars...@gmail.com wrote:
 Hi, All,

 Here's an update to the problem I submitted last night.

 I was able to utilize anchored text to work for centering a title, which is
 ultimately what I'm wanting to do now. (Although, I'd still like to know the
 proper way to get the axes bounds when using axes_divider).  The new problem
 lies how to horizontally align the text inside the anchored box. When the
 horizontal alignment is left, the text lines up in the anchored box.
 However, as the updated example below shows, then you use center or
 right, the text is now positioned outside the anchored box.  Is this a bug
 in how the text is aligned? If so, how might I go about tracking it down?


 https://gist.github.com/2004869 (rev: b984ca)


 Cheers,
 Patrick
 ---
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 Ph.D. Student / Liaison to the HWT
 School of Meteorology / University of Oklahoma
 Cooperative Institute for Mesoscale Meteorological Studies
 National Severe Storms Laboratory
 http://www.patricktmarsh.com



 On Fri, Mar 9, 2012 at 12:12 AM, Patrick Marsh patrickmars...@gmail.com
 wrote:

 Greetings,

 Let me begin by saying that I've fallen in love with ImageGrid. I love the
 control it gives me in setting up plots, and I really like the control it
 offers for setting up a colorbar. Unfortunately, like all relationships,
 ImageGrid and I have hit a rough patch.

 I like to manually place titles and other boxes of texts on plots that I
 make using ImageGrid. However, to center things I have to know what the axes
 bounds are so I can do the centering calculations. Unfortunately, when using
 ImageGrid, or axes_divider, I have yet to find a way to get the axes bounds
 that are actually used to do the plotting. When I try to use

 ax.get_position().bounds

 I get the pre-adjusted bounds, even if I use plt.draw() before requesting
 the axes_positions. This means the only way I can center the text is by
 guessing what the final axes bounds will be.  Is there any way of getting
 the final bounds? It appears anchored text is able to do it, but I haven't
 been able to...


 Here's a self-contained example script that demonstrates the problem.  I
 don't use ImageGrid, instead using axes_divider, however this is the same
 problem that AxesGrid has. (I'm guessing this is because ImageGrid
 ultimately does what I did here behind the scenes.)

 https://gist.github.com/2004869


 Thanks for any help!


 Patrick
 ---
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 School of Meteorology / University of Oklahoma
 Cooperative Institute for Mesoscale Meteorological Studies
 National Severe Storms Laboratory
 http://www.patricktmarsh.com




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Re: [Matplotlib-users] custom markers from images?

[Jae-Joon Lee]

One way to use images as a marker would be to use offsetbox module.
Here is an example adopted from

http://matplotlib.sourceforge.net/examples/pylab_examples/demo_annotation_box.html

Regards,

-JJ


import matplotlib.pyplot as plt
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
from matplotlib.cbook import get_sample_data

import numpy as np

if 1:
fig = plt.gcf()
fig.clf()
ax = plt.subplot(111)


xy = [0.3, 0.55]

arr = np.arange(100).reshape((10,10))
im = OffsetImage(arr, zoom=2)

ab = AnnotationBbox(im, xy,
xycoords='data',
pad=0.3,
)

ax.add_artist(ab)


# another image


from matplotlib._png import read_png
fn = get_sample_data(lena.png, asfileobj=False)
arr_lena = read_png(fn)

imagebox = OffsetImage(arr_lena, zoom=0.1)

xy = (0.7, 0.4)
ab = AnnotationBbox(imagebox, xy,
xycoords='data',
pad=0.5,
)


ax.add_artist(ab)

ax.set_xlim(0, 1)
ax.set_ylim(0, 1)


plt.draw()
plt.show()




On Thu, Mar 8, 2012 at 4:25 AM, Michael Droettboom md...@stsci.edu wrote:
 It would be a nice idea.  I'm not sure it's something that would work
 terribly well in vector backends as the images may not scale well.  I should
 mention that there is already support to use arbitrary Unicode characters or
 math expressions as markers already, which does work well in vector
 backends.

 Mike


 On 03/07/2012 01:59 PM, C M wrote:

 I've for now taken a different approach that means I won't need custom
 markers from images.

 But I'm just curious:  is there any wish/plans in Matplotlib to add support
 for this?  I think it could do a lot to expand what's possible in terms of
 the look and feel of plots (even without things drifing into USA Today
 territory!).

 Just my $0.02

 Che


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Re: [Matplotlib-users] [SciPy-User] matplotlib: Simple legend code no longer works after upgrade to Ubuntu 11.10

[Jae-Joon Lee]

Although this is quite an old post, one need to set the location again.

e.g.,

lh._loc = 2

Regards,

-JJ


On Wed, Dec 14, 2011 at 12:09 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:


 On Mon, Dec 12, 2011 at 7:05 PM, C Barrington-Leigh cpblpub...@gmail.com
 wrote:

 Oops; I just posted this to comp.lang.python, but I wonder whether
 matplotlib questions are supposed to go to scipy-user?



 How about matplotlib-users@lists.sourceforge.net?  I've cc'ed to that list.

 Warren



 Here it is:
 
 Before I upgraded to 2.7.2+ / 4 OCt 2011, the following code added a
 comment line to an axis legend using matplotlib / pylab.
 Now, the same code makes the legend appear off-screen, ie way
 outside the axes limits.

 Can anyone help? And/or is there a new way to add a title and footer
 to the legend?

 Thanks!
 

 from pylab import *
 plot([0,0],[1,1],label='Ubuntu 11.10')
 lh=legend(fancybox=True,shadow=False)
 lh.get_frame().set_alpha(0.5)

 from matplotlib.offsetbox import TextArea, VPacker
 fontsize=lh.get_texts()[0].get_fontsize()
 legendcomment=TextArea('extra comments here',
 textprops=dict(size=fontsize))
 show()
 # Looks fine here
 lh._legend_box = VPacker(pad=5,
                         sep=0,
                         children=[lh._legend_box,legendcomment],
                         align=left)
 lh._legend_box.set_figure(gcf())
 draw()


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Re: [Matplotlib-users] Dynamic adjustment of axis position and size in figure

[Jae-Joon Lee]

tight_layout only works for instances of Subplots. However, ax2, which
is created by calling twinx, is an instance of Axes, and is not
accounted by the tight_layout command.It may be possible to improve
the situation, I doubt it would be easy as the association between ax1
and ax2 is not very explicit in the current implementation.

One workaround is to use axes_grid1 toolkit (this works with current
git master branch but not sure if it will work with v1.1).

Try to replace

  ax1 = fig.add_subplot(1,1,1)

with

  from mpl_toolkits.axes_grid1.parasite_axes import SubplotHost
  ax1 = SubplotHost(fig, 1, 1, 1)
  fig.add_subplot(ax1)

-JJ


On Thu, Dec 8, 2011 at 5:28 AM, Jérôme jer...@jolimont.fr wrote:
 Wed, 7 Dec 2011 20:29:22 +0100
 Jérôme a écrit:

 Is there a way to automatically resize the axis and nicely center the whole
 set {axes + ticklabels + labels} in the figure ?

 One could use add_axes and play with the coordinates until he gets something
 nice, but it gets complicated to have it automatic as things depends on
 - the number of digits of y-axis ticklabels
 - whether or not a secundary y-axis is added on the right (using twinx)

 Hi again, sorry for multi-posting.

 Apparently, figure.tight_layout() does not take into account the secondary
 y-axis on the right.

 Is this a known limitation ? (I don't see it on the caveats paragraph [1].)

 Or is this the use I make of it that is incorrect ?

 Example :

 --

 import pylab

 fig = pylab.figure()

 data_1 = [0,1,2,3]
 data_2 = [0,5,250,3]

 lines = []

 # Primary axis
 ax1 = fig.add_subplot(1,1,1)
 lines.extend (ax1.plot(data_1, 'b'))

 # Secondary axis
 ax2 = pylab.twinx(ax1)
 lines.extend (ax2.plot(data_2, 'g'))

 labels = ['Data 1', 'Data 2']

 fig.tight_layout()

 pylab.show()


 --

 Thanks.

 [1] http://matplotlib.sourceforge.net/users/tight_layout_guide.html

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Re: [Matplotlib-users] Dynamically adjusting the color scale in NonUniformImage

[Jae-Joon Lee]

As far as I can see, this is a bug of matplolib, although calling a
set_data work around this. Can you open a bug report in our github repo?

-JJ
 2012. 2. 18. 오후 10:12에 Ray Osborn rosb...@anl.gov님이 작성:

 You're exactly right. That does fix it. Unfortunately, it means I have to
 refactor some of my code because the Pyside slot doesn't currently have
 access to the original data, but that's not a huge deal.

 Thanks,
 Ray

 On Feb 18, 2012, at 4:35 AM, Jerzy Karczmarczuk wrote:

  Ray Osborn:
 
  OK - it turns out I can reproduce it in a simple ipython session using
 ipython --pylab=qt.
 
  I set up an image plot as follows:
 
  import numpy as np
  import matplotlib.pyplot as plt
  from matplotlib.image import NonUniformImage
 
  x=y=np.linspace(0,2*np.pi,101)
  X,Y=np.meshgrid(x,y)
  z=sin(X)*sin(Y)
 
  ax=plt.gca()
  extent = (x[0],x[-1],y[0],y[-1])
  im = NonUniformImage(ax, extent=extent, origin=None)
  im.set_data(x,y,z)
 
  ax.images.append(im)
  ax.set_xlim(x[0],x[-1])
  ax.set_ylim(y[0],y[-1])
 
  plt.colorbar(im)
 
  plt.gcf().canvas.draw()
 
 
  After that, I try to change the color scale using:
 
  im.set_clim(0,0.5)
  plt.gcf().canvas.draw()
 
  The colorbar changes scale, but the plot is untouched. Is that the
 expected behavior?
 
  Thanks,
  Ray
 
  Try, perhaps, after set_clim, to reinstall the data:
 
  im.set_data(x,y,z)
  plt.gcf().canvas.draw()
 
  =
 
  Jerzy Karczmarczuk
 
 
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 Phone: +1 (630) 252-9011
 Email: rosb...@anl.gov





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Re: [Matplotlib-users] Partial coloring of text in matplotlib

[Jae-Joon Lee]

What can be done with the current Matplotlib is to use the offset boxes.
Here is a modified version of a code snippet from

 
http://abitofpythonabitofastronomy.blogspot.com/2009/05/mpl-multicolor-text.html

Regards,

-JJ


from matplotlib.offsetbox import HPacker, TextArea, AnnotationBbox

f = figure(1)
ax = f.add_subplot(111)

txt1 = TextArea(A$^3$, textprops=dict(color=r, size=150))
txt2 = TextArea(gb, textprops=dict(color=k, size=150))

txt = HPacker(children=[txt1, txt2],
align=baseline,
pad=0, sep=0)

bbox =  AnnotationBbox(txt, xy=(0.5, 0.5),
   xycoords='data',
   frameon=False,
   box_alignment=(0.5, 0.5), # alignment center, center
   )

ax.add_artist(bbox)

show()





On Wed, Feb 8, 2012 at 7:44 AM, Yann Tambouret yannp...@bu.edu wrote:
 Along the lines of Mike's suggestion, I thought this could be done using
 Latex.


 I posted an answer on SO with an example of doing this, but it seems only to
 work with postscript backend. Other backends override the color with the mpl
 text color setting.

 Is there a way to prevent this override? For example don't try to use 'PS'
 backend, and look at hte figure interactively. It defaults to black.

 http://stackoverflow.com/a/9185143/717357

 -Yann




 On Tue, Feb 7, 2012 at 4:46 PM, Paul Ivanov pivanov...@gmail.com wrote:

 Benjamin Root, on 2012-02-07 13:46,  wrote:
  Also, how deep should this rabbit hole go?  I could imagine one could
  want
  this for title() and figtitle().  Maybe it would be best to implement
  this
  at the Text() constructor level?

 For this reason, I would discourage even implementing such
 functionality in the core of matplotlib. This functionality doesn't strike
 me
 as something that ought to be available everywhere by default - if someone
 needs it, they can implement it as follows:

 -
 import matplotlib.pyplot as plt
 from matplotlib import transforms

 def rainbow_text(x,y,ls,lc,**kw):
    
    Take a list of strings ``ls`` and colors ``lc`` and place them next to
 each
    other, with text ls[i] being shown in color lc[i].

    This example shows how to do both vertical and horizontal text, and
 will
    pass all keyword arguments to plt.text, so you can set the font size,
    family, etc.
    
    t = plt.gca().transData
    fig = plt.gcf()
    plt.show()

    #horizontal version
    for s,c in zip(ls,lc):
        text = plt.text(x,y, +s+ ,color=c, transform=t, **kw)
        text.draw(fig.canvas.get_renderer())
        ex = text.get_window_extent()
        t = transforms.offset_copy(text._transform, x=ex.width,
 units='dots')

    #vertical version
    for s,c in zip(ls,lc):
        text = plt.text(x,y, +s+ ,color=c, transform=t,
                rotation=90,va='bottom',ha='center',**kw)
        text.draw(fig.canvas.get_renderer())
        ex = text.get_window_extent()
        t = transforms.offset_copy(text._transform, y=ex.height,
 units='dots')


 plt.figure()
 rainbow_text(0.5,0.5,all unicorns poop rainbows ! ! !.split(),
        ['red', 'orange', 'brown', 'green', 'blue', 'purple', 'black'],
        size=40)

 best,
 --
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 http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7


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Re: [Matplotlib-users] Why pixel marker size is 4 pixels?

[Jae-Joon Lee]

Thanks. Now I understand the situation.

As far as I can see, marker=, is implemented as a rectangle path
with width/height of 1 pixel, so this result in 2x2 pixel filled
square.
I tried to change the size of the rectangle, etc, to get a single
pixel filled square, but did not get a satisfactory result.
I think we need an Agg expert. I hope Mike or others take a look.

Chris,
if you do not get a response from others in this mailing list, I
recommend you to open a new issue in our github page.

Regards,

-JJ


On Mon, Feb 6, 2012 at 1:53 AM, Chris plut...@gmail.com wrote:
 Thanks JJ.

 The problem seems not to be a size issue --  markersize has no effect
 when use marker=, (pixel).  I have also tried to turn off aa, and it
 doesn't help either.  I also tried different backends.  The PNG output
 from Agg and Cairo is slightly different: Agg's point has 4 solid
 pixel, while Cairo's has 4 pixel with random shade.

 Postscript output has the same problem.  The pixel in an EPS file
 generated by mpl is significantly bigger than that from another
 drawing program I used.

 The problem occurs in all my plotting scripts, e.g., this basic one:

 [CODE]
 import numpy as np

 x=np.arange(100)
 y=np.random.randn(100)

 ioff()
 fig=gcf()
 fig.clf()

 ax=fig.add_axes(0.15,0.1,0.8, 0.85)
 ax.plot(x,y,k,)

 ion()
 fig.canvas.draw()
 [/CODE]

 Here is how I identify the problem:
 1. use the above script to plot on screen
 2. savefig(plot.png)
 3. open plot.png in GIMP and check the pixel size.

 I also attached the two PNG files generated with Agg and Cairo backends.


 On Sun, Feb 5, 2012 at 6:45 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 How are you plotting your points.

 If you use *plot*, there is a *markersize* parameter.
 If you use *scatter*, the third argument controls the marker size.

 But you may actually complaining about other issues, e.g.,
 antialiasing, etc. So, if above are not your answer, please post a
 complete example and describe your problem in more detail.

 Regards,

 -JJ


 On Sat, Feb 4, 2012 at 2:15 PM, Chris plut...@gmail.com wrote:
 I noticed this a few years back, but left it aside because most of the
 time I can live with it.  Recently I need to make a few plots
 containing a few million points, and 4 pixels for a point is a
 disaster.  So my question is why the pixel marker size is set at 4
 pixels?  And is there anyway to change it to a single pixel?

 Thanks,
 Chris

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Re: [Matplotlib-users] many plots

[Jae-Joon Lee]

On Sat, Feb 4, 2012 at 1:27 AM, Saurav Pathak sau...@sas.upenn.edu wrote:
 Is there another way to do this more efficiently?

I recommend you to use LineCollection, which should be much efficient.

http://matplotlib.sourceforge.net/examples/api/collections_demo.html

Regards,

-JJ

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Re: [Matplotlib-users] legend not draggable when secondary y-axis present

[Jae-Joon Lee]

For the legend to be picked by mouse, it must be placed in the top most axes.

ax = subplot(111)
l1, = ax.plot([1,3,2])
ax2 = ax.twinx()
lab = ax2.legend([l1], [test])

I hope this clarifies your issue.
If not, please post a simple but complete example that demonstrates
your problem.

Regards,

-JJ



On Wed, Jan 18, 2012 at 12:53 AM, German Salazar salger...@gmail.com wrote:
 Any ideas?

 Also, as in the example here, the legend seems to be behind the quantity
 being plotted against the one of the secondary y-axisdoes this have
 anything to do with that?...it is that maybe the legend is draggable but I
 am not getting to it?

 gsal


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Re: [Matplotlib-users] Why pixel marker size is 4 pixels?

[Jae-Joon Lee]

How are you plotting your points.

If you use *plot*, there is a *markersize* parameter.
If you use *scatter*, the third argument controls the marker size.

But you may actually complaining about other issues, e.g.,
antialiasing, etc. So, if above are not your answer, please post a
complete example and describe your problem in more detail.

Regards,

-JJ


On Sat, Feb 4, 2012 at 2:15 PM, Chris plut...@gmail.com wrote:
 I noticed this a few years back, but left it aside because most of the
 time I can live with it.  Recently I need to make a few plots
 containing a few million points, and 4 pixels for a point is a
 disaster.  So my question is why the pixel marker size is set at 4
 pixels?  And is there anyway to change it to a single pixel?

 Thanks,
 Chris

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Re: [Matplotlib-users] problem finding axes_grid1

[Jae-Joon Lee]

I believe the matplotlib package in ubuntu 10.4 is v0.99.1, which does
not include axes_grid1.
You need to install newer version of matplotlib.

Regards,

-JJ



On Mon, Jan 30, 2012 at 3:58 AM, BG barterguy8675...@gmail.com wrote:
 Hello all,

 I'm new to using Matplotlib.  I am on Ubuntu 10.4, and I installed through 
 apt-get.  I then downloaded and installed basemap according to the 
 instructions on the basemap site.  However, when I run simpletest.py from the 
 basemap package, I get an error ImportError: No module named axes_grid1.  I 
 thought this was a basemap problem at first, but I can reproduce this error 
 using matplotlib tests.  Am I doing something wrong?  As I understand it, 
 axes_grid1 is a set of helper classes which comes with Matplotlib.  Does it 
 need to be installed?  Thanks!

 -BG

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Re: [Matplotlib-users] use legend's 'best' location for a text box

[Jae-Joon Lee]

As far as I know, No, there is no such way inside matplotlib that does
that for you.
But, in theory, it should not be very difficult to implement.
Can you open a new issue on our github page?

Regards,

-JJ



On Thu, Jan 12, 2012 at 4:16 AM, Craig the Demolishor
destrooo...@gmail.com wrote:
 Hi,
   I'm drawing a histogram and I would like to place a text box within the
 axes that shows the number of events. I like the way I can pass loc='best'
 to pyplot.legend() and it automatically does its best to avoid my data. Is
 there any way to replicate this for a simple call to pyplot.text(), like so:

   ax.text(0.05, 0.95, 'Entries: ' + len(myData),
  transform=ax.transAxes, fontsize=14, verticalalignment='top',
  bbox=dict(boxstyle='square', facecolor='white'))

 Thanks in advance!

 --craig

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Re: [Matplotlib-users] tailwidth?

[Jae-Joon Lee]

I know this is an old post, but just in case.

For arrowstyle=-, they are just lines (well, not exactly as a
matter of fact). So, what you need is to change their linewidths. You
may do


arrow1=pylab.annotate(, xytext=(0.1,0.1),
                      xy=(0.9,0.9),fontsize=8,

arrowprops=dict(arrowstyle=-,head_length=1,head_width=0.8, # I'm
changing the head_length and head_width to make the arrow more
visible.
                                      linewidth=3))

On the other hand, the underlying artist associated with the arrow can
be accessed by *arrow1.arrow_patch*.
Note that it is actually an instance of Patch.

Regards,

-JJ




On Fri, Dec 16, 2011 at 8:32 PM, Petro x.pi...@gmail.com wrote:
 How can I change linewidth of this arrow?
 arrow1=pylab.annotate(, xytext=(-3500,-1e8),
 xy=(-3500,8e8),fontsize=8,arrowprops=dict(arrowstyle=-))
 Thank you in advance.
 Petro



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Re: [Matplotlib-users] Colorbar on each subplot

[Jae-Joon Lee]

Please post a complete (but simple) example that we can easily test.
Doing the *subplot_adjust* will mess up the location of colorbars, but
I believe that colorbars should be still there.
If you're using v1.1 and later, see if using the use_gridspec
parameter works. For example,

colorbar(use_gridspec=True)

Regards,

-JJ


On Sat, Jan 7, 2012 at 8:34 PM, davcra dcdavem...@gmail.com wrote:

 Hi, I need to add a colorbar to each plot in a subplot but cant seem to get
 it to work. My code is as follows,

 # Plot time series of slowness, baz, abs.power and rel.power
 labels = 'rel.power abs.power baz slow'.split()

 fig = plt.figure()
 for i, lab in enumerate(labels):
    ax = fig.add_subplot(4, 1, i + 1)
    ax.scatter(out[:, 0], out[:, i + 1], c=out[:, 1], alpha=0.6,
               edgecolors='none')
    ax.set_ylabel(lab)
    colorbar()
 fig.autofmt_xdate()
 fig.subplots_adjust(top=0.95, right=0.95, bottom=0.2, hspace=0.25)
 plt.show()

 Dont get any error but the colorbar is missing from the plot, anyone know
 how it is done
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Re: [Matplotlib-users] draw bbox around axes title

[Jae-Joon Lee]

On Fri, Jan 6, 2012 at 4:56 AM, Skipper Seabold jsseab...@gmail.com wrote:
 but when I call show, it seems the width of
 the box is reset.

Yes. Because the location of the texts are backend-dependent, the
location of the xbox surrounding the text are recalculated during the
drawing time. I don't think there is no easy workaround unfortunately.

If you are experienced in matplotlib, you may try is to rewrite the
get_path method of the bbox. The example code below, while a bit
complicated, tries to make the the bbox align with the axes.


ax.title.set_ha(left)
bbox_get_path = bbox.get_path
def my_get_path():
pad = bbox.get_boxstyle().pad*bbox.get_mutation_scale()
x0, y0 = bbox.get_transform().transform_point((0,0))
xx = ax.bbox.x0 - x0
bbox.set_x(xx+pad)
bbox.set_width(ax.bbox.width-2*pad)
return bbox_get_path()
bbox.get_path = my_get_path

regards,

-JJ

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Re: [Matplotlib-users] patheffects for Line2D objects

[Jae-Joon Lee]

I just opened a pull request that implements the requested feature.

https://github.com/matplotlib/matplotlib/pull/655

If you're familiar with Git, please test it and see if it works for your need.
I believe I will merge this PR to the master branch in a few days
unless there is any objection.

Regards,

-JJ



On Tue, Dec 20, 2011 at 6:21 AM, Jonathan Slavin
jsla...@cfa.harvard.edu wrote:
 Hi,

 It seems that patheffects are not supported for Line2D objects currently
 - only for Text and Patch objects.  Is there any fundamental reason they
 couldn't be extended to support Line2D objects?  I'm interested in this
 because I draw grid lines for some hammer projection plots and those
 lines are Line2D objects.  For certain images, it'd be nicer to have the
 grid lines use patheffects so that any color of the image would still
 allow the grid line to show clearly.

 Jon
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Re: [Matplotlib-users] Inconsistent marker/line zorder in errorbar legend

[Jae-Joon Lee]

I just pushed a change that I believe fixes this problem

https://github.com/matplotlib/matplotlib/commit/96caca8dd48d08e3106337ecdeae82fa0236b86b

Required change is very minor, so you may apply the patch by yourself.
If you need a workaround, let me know.
Regards,

-JJ


On Tue, Dec 6, 2011 at 11:46 AM, Adrian Del Maestro agde...@gmail.com wrote:
 Hello,

 I have run across an inconsistency in the zorder of markers and lines
 in the legend for an errorbar as opposed to a plot in matplotlib
 v1.1.0.  After some considerable amount of time reading
 legend_handler.py and the information at
 http://matplotlib.sourceforge.net/users/legend_guide.html I was unable
 to figure out how to make the errorbar markers sit 'on top' of the
 lines in a legend.

 For example the following code:

 import pylab as pl
 import numpy as np

 x = pl.arange(-2,2,0.1)
 y = x**2
 dy = np.random.random(len(x))

 pl.figure(1)
 pl.plot(x,y, color='k', linewidth=0.5, linestyle='-', marker='o',
        markerfacecolor='lime', markeredgecolor='k', markeredgewidth=0.5,
 label='line1', markersize=10)
 pl.legend(loc='best', frameon=False)

 pl.figure(2)
 pl.errorbar(x,y,yerr=dy, color='k', linewidth=0.5, linestyle='-', marker='o',
        markerfacecolor='lime', markeredgecolor='k', markeredgewidth=0.5,
        label='line1', markersize=10, ecolor='lime', capsize=10)
 pl.legend(loc='best', frameon=False)

 pl.show()

 produces a legend for the plot (figure(1)) with the markers on top of
 the lines, but the legend for the errorbar (figure(2)) has this
 reversed.

 Any ideas/suggestions would be greatly appreciated.

 Best,
  Adrian.

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Re: [Matplotlib-users] problem with annotate

[Jae-Joon Lee]

Can you post an standalone example?
Maybe you want to set the *annotation_clip* parameter to False?

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.annotate

Regards,

-JJ


On Fri, Dec 2, 2011 at 10:19 PM, Neal Becker ndbeck...@gmail.com wrote:
 Using horizontalalignment='right', it seems that if a point lies on the right
 edge of the plot, the annotation does not appear, even though (since the text
 should be right aligned), the text would have been on the plot and be visible.

 Any workaround?


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Re: [Matplotlib-users] Relpos only works once when using FancyArrow for annotation

[Jae-Joon Lee]

On Mon, Nov 28, 2011 at 10:49 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 This is a bug. In the current implementation, annotate has a
 side-effect that modifies the arrowprops dictionary.

For a future reference, this should now be fixed in the v1.1.x branch
which also has been merged into the master branch.

https://github.com/matplotlib/matplotlib/commit/b3a2ab77c89fdb3ab860edeb1a781b5307347070

Regards,

-JJ

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Re: [Matplotlib-users] Relpos only works once when using FancyArrow for annotation

[Jae-Joon Lee]

On Mon, Nov 28, 2011 at 9:39 PM, Markus Baden markus.ba...@gmail.com wrote:
 anno_args = {
     'annotation_clip': False,
     'arrowprops': dict(arrowstyle='-', relpos=(0, 1)),
     }
 plt.annotate('Good relpos', (3, 3), xytext = (3, 2), **anno_args)
 plt.annotate('Bad relpos', (6, 6), xytext = (6, 5), **anno_args)

This is a bug. In the current implementation, annotate has a
side-effect that modifies the arrowprops dictionary.
As a workaround, you may do,

arrowprops = dict(arrowstyle='-', relpos=(0, 1))
plt.annotate('Good relpos', (3, 3), xytext = (3, 2),
 annotation_clip=False, arrowprops=arrowprops.copy())


 plt.annotate('No ha/va', (5, 5), xytext = (5, 4),
 arrowprops=dict(arrowstyle='-'),
  ha='left', va='top')


ha and va controls the location of the text relative to the xytext,
and I believe it does work as expected. It has nothing to do with the
starting point of the arrow, which should be controlled by the relpos
parameter.

Regards,

-JJ

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Re: [Matplotlib-users] Separate formatting for tick labels

[Jae-Joon Lee]

Try something like this.

ax = subplot(111)
LabelsList = ['Prospero', 'Miranda', 'Caliban', 'Ariel']
ax.set_xticks(range(len(LabelsList)))xlabels = ax.set_xticklabels(
LabelsList, rotation=35,
horizontalalignment='right',
fontstyle='italic', fontsize='10')
ticklabels = ax.get_xticklabels()ticklabels[0].set_fontstyle(normal)

Regards,

-JJ


On Wed, Nov 16, 2011 at 11:25 AM, magurling magurl...@gmail.com wrote:
 LabelsList = ['Prospero', 'Miranda', 'Caliban', 'Ariel']

 xlabels = ax.set_xticklabels( LabelsList, rotation=35,
 horizontalalignment='right', fontstyle='italic', fontsize='10')


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Re: [Matplotlib-users] axes_grid1 and colorbar ticks

[Jae-Joon Lee]

This seems to be a bug that need to be fixed.
Meanwhile, use locator parameter as below.

cbar = grid.cbar_axes[0].colorbar(im, locator=ticks)
Regards,

-JJ



On Thu, Nov 17, 2011 at 5:35 AM, Yoshi Rokuko yo...@rokuko.net wrote:
 does someone knows how to specify ticks for a colorbar
 inside axesgrid? the following does not work as expected:

 from mpl_toolkits.axes_grid1 import AxesGrid
 ticks = [.01, .25, .5, .75, .99]
 grid = AxesGrid()
 [...]
 grid.cbar_axes[i].colorbar(im, ticks=ticks)

 i'm thankfull for any pointers,
 yoshi

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Re: [Matplotlib-users] Certain annotation parameters cause strange error

[Jae-Joon Lee]

I believe I fixed this in this pull request.

https://github.com/matplotlib/matplotlib/pull/566

Unfortunately, I don't think there is a easy workaround other than not
using the fancy arrow style.

Regards,

-JJ



On Sun, Oct 30, 2011 at 1:51 PM, Brendan Barnwell brenb...@brenbarn.net wrote:
        I encountered a strange error when trying to put some annotations on
 a graph.  I was able to simplify it to this:

 pyplot.plot([1, 2, 3, 4], [0, -1, -2, 8])
 pyplot.annotate(Blah, xy=(2, 2), xytext=(-20,-20),
 textcoords='offset points',
                 bbox=dict(boxstyle='round,pad=0.5'),
                 arrowprops=dict(arrowstyle='fancy',
 connectionstyle='arc3,rad=0'))

 On my system (matplotlib 1.1.0 with Python 2.6 on Windows XP), this
 causes a long traceback culminating in

 File C:\Program Files\Python\lib\site-packages\matplotlib\bezier.py,
 line 129, in find_bezier_t_intersecting_with_closedpath
     raise ValueError(the segment does not seemed to intersect with
 the path)

        Increasing the xytext coordinates (in absolute value), to for
 instance (-50, -50) works with no error, and it also works without the
 special bbox style.  Just guessing from the error message, it looks
 like certain combinations of fancy patches are causing problems
 because the shapes don't intersect in the way the drawing code assumes
 they should.

        I don't see anything in the docs about such edge cases, so this looks
 like a bug.  Judging from the way that small tweaks to the code can
 cause the error to disappear, I imagine it could be tricky to fix, but
 at the least there should probably be a warning in the docs that some
 kinds of anootation boxes won't work with some kinds of arrows when
 the text is too close to the annotated point.

        Any ideas?

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Re: [Matplotlib-users] Figure legend for 1.1.0 doesn't properly handle errorbars?

[Jae-Joon Lee]

Somehow, Figure.legend flattens the given handle list and this is the
cause of the problem.

https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/figure.py#L994

Does anyone know why this is necessary?
I just filed a pull request to remove this.

https://github.com/matplotlib/matplotlib/pull/534/files

Meanwhile, you may do

from matplotlib.legend import Legend
l = Legend(fig, h, l, loc='lower right')
fig.legends.append(l)

This should be equivalent to fig.legend(h,l,loc='lower right').

Or, if you don't need axes legend, you may do

legend(h,l,loc='lower right', bbox_to_anchor=[0,0,1,1],
   bbox_transform=fig.transFigure)

Regards,

-JJ

On Tue, Oct 18, 2011 at 6:59 AM, Sterling Smith smit...@fusion.gat.com wrote:
 Let me first say that I appreciate the work that the developers have put into 
 matplotlib.  You're doing a great job.

 I have filed a bug report at

 https://github.com/matplotlib/matplotlib/issues/533

 wherein I post the following

 Consider:

 from pylab import *
 x = arange(0,1,.01)
 y = x**2
 fig = figure(2)
 ax = fig.add_subplot(111)
 errorbar(x,y,yerr=x/10.,label='$x^2$')
 errorbar(x,y**3,yerr=x/10.,label='$x^6$')
 legend(loc='upper center')
 h,l = ax.get_legend_handles_labels()
 fig.legend(h,l,loc='lower right')


 I am getting the right legend for the axes based legend, but the figure based 
 legend seems to be using the different parts of the errorbar for subsequent 
 handles, instead of using them as a group.  From what I can tell, this has 
 appeared since the upgrade to version 1.1.0.

 I am running on Linux, python 2.7, gtkAgg backend.

 Thanks,
 Sterling


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Re: [Matplotlib-users] question about tight_layout()

[Jae-Joon Lee]

On Sun, Oct 16, 2011 at 1:55 PM, C M cmpyt...@gmail.com wrote:
 However, I can't get it to work correct with Figure.  I'm either getting
 that same error or failure to adjust the Figure's size to accommodate the
 axes' labels.  I attach a minimal runnable sample that demonstrates these
 problems for those that embed in wxPython.


In your example code, do you see the error raised only when you
include the tight_layout call? Your comments seem to suggest that the
error is raised regardless of the tight_layout call, in which case I
doubt if this has anything to do with tight_layout.

Anyhow, your code runs fine in my installment, linux + python 2.7.2 +
wxgtk 2.8.11.0 + mpl master branch.
On which platform you're running this?

Regards,

-JJ

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Re: [Matplotlib-users] question about tight_layout()

[Jae-Joon Lee]

On Mon, Oct 17, 2011 at 1:03 AM, C M cmpyt...@gmail.com wrote:
 - Error if I call self.panel.Layout() before I call tight_layout().

In my system, I don't see any error whether ` self.panel.Layout() is in or not.

 - If I don't do this, no error, but it still isn't doing a proper tight 
 layout.


Your script DOES work in my system (but I'm using it with wxGTK) and
it DOES a proper tight_layout.

(However, the figure size never gets smaller than the original figure
size so it shows only the part of the figure when the window is
smaller than the original figure size).

So, it seems that the issue is platform-dependent.

As for the error message, it seems that the subplot_params values
(left, right, top, bottom, etc) calculated by the tight_layout
routine is somehow corrupted.
Why this happens is hard to track down unless I can reproduce the error.
And I hope any other windows developer out there can take a look at this issue.

Meanwhile, can you play a little bit more with your script?

1) check the size of the figure (print self.figure.get_size_inches())
before a tight_layout is called.

2) see if calling the draw method (self.canvas.draw()) before the
tight_layout helps.

Also, please open a git issue on this so that others can take a look.

Regards,

-JJ

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Re: [Matplotlib-users] question about tight_layout()

[Jae-Joon Lee]

Figure.tight_layout() is a correct way.
Do you see that error only when you use Figure.tight_plot (and not
when you use plt.tight_layout)?

What happen you try the script below.

import matplotlib.pyplot as plt
fig = plt.figure(1)ax = fig.add_subplot(111)fig.tight_layout()
Regards,

-JJ


On Sat, Oct 15, 2011 at 9:13 AM, C M cmpyt...@gmail.com wrote:
 Just trying out the latest mpl 1.1.0 and the tight_layout() method.  I saw
 the guide written about it, but am a unsure how to use this when using the
 OO approach to using Matplotlib.

 When using pyplot, the method is:  plt.tight_layout().  When using the OO
 form of mpl, is it:  figure.tight_layout() ?

 I assume it is, because I tried this and it didn't give me a name error, but
 I did get an error:  ValueError: left cannot be = right.

 What am I doing wrong?

 Thanks,
 Che


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Re: [Matplotlib-users] rotating x tick labels, bold labels with axislines toolkit???

[Jae-Joon Lee]

On Wed, Oct 5, 2011 at 11:50 AM, mdekauwe mdeka...@gmail.com wrote:
 Still haven't worked out the bold but I am sure there will be something on
 that page


Try

ax.axis[bottom].label.set_text(Test)
ax.axis[bottom].label.set_weight(bold)

IHTH,

-JJ

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Re: [Matplotlib-users] twinx problem

[Jae-Joon Lee]

On Tue, Oct 4, 2011 at 4:22 AM, Christopher Brown c...@asu.edu wrote:
     tick.label1.set_color('red')


You should use tick.label2, not tick.label1.

tick.label2.set_color('red')

Anyhow, as Eric said, it is strongly advised to use the tick_params method.

-JJ

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Re: [Matplotlib-users] Using labels with twinx()

[Jae-Joon Lee]

On Wed, Sep 28, 2011 at 3:32 PM, Klonuo Umom klo...@gmail.com wrote:
 How to deal with this, without manually positioning legends and if possible
 including all annotated plot lines in one legend?

*twinx* creates a new axes. Thus there are TWO axes, and you need to
do some manual adjustment. I believe that the solution suggested by
Stephen George is essentially the best way, although you may try to
tweak things using the Axes.get_legend_handles_labels method (
http://matplotlib.sourceforge.net/users/legend_guide.html#what-to-be-displayed
).

Alternatively, you can try the axes_grid1 toolkit which automatically
merges legends for you. Check out the example below.

http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#example-1-twinx

Regards,

-JJ

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Re: [Matplotlib-users] cross hatching in contours?

[Jae-Joon Lee]

On Thu, Sep 15, 2011 at 10:33 PM, Jonathan Slavin
jsla...@cfa.harvard.edu wrote:
 I'm wondering if there is some way to do cross hatching as a way to fill
 contours rather than colors (using contourf).  The only references to
 cross hatching I see in the documentation are for patches type objects.
 As far as I can tell, contour and contourf return objects of their own
 type (contour.QuadContourSet) that do not have hatch as an attribute.


Yes, it seems that hatching is only supported in patches.
You may workaround this by converting contours to multiple patches.
See the attachment.

 If it's not possible currently, how hard would it be to add that
 capability to contourf?  What approach would you recommend?


It may not be that difficult, but seems to require an api change
(e.g., draw_path_collections).
Can you file an issue on our github page?

Regards,

-JJ


 Regards,
 Jon


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Re: [Matplotlib-users] GridSpec has unecpected effect

[Jae-Joon Lee]

Thanks for reporting this.
I opened a pull request that I believe fixes this problem.

https://github.com/matplotlib/matplotlib/pull/472

Please test this if you can.

Depending on your need, you may work around this by calling all the
set_position method always after all the GridSpec.update call.

Regards,

-JJ


On Sat, Sep 17, 2011 at 1:37 AM, Kurt Mueller
kurt.alfred.muel...@gmail.com wrote:
 Hi,


 In the following script, it seems to me,
 that GridSpec does not work as expected.
 
 #!/usr/bin/env python
 # vim: set fileencoding=utf-8 :
 # adapted from http://matplotlib.sourceforge.net/users/gridspec.html

 import matplotlib.pyplot as plt
 from matplotlib.gridspec import GridSpec

 fig = plt.figure()

 gs1 = GridSpec(3,3)
 gs1.update( left=0.10, right=0.45 )
 ax1 = fig.add_subplot( gs1[ 0:1, 0:1 ] )
 ax1.set_position( [0.1, 0.1, 0.2, 0.8] )

 gs2 = GridSpec(3,3)
 gs2.update( left=0.55, right=0.95 )
 ax2 = fig.add_subplot( gs2[ 1:3, 1:3 ] )
 ax2.set_position( [0.5, 0.1, 0.2, 0.8] )

 plt.show()
 

 First I put an Axes ax1 with gs1.
 For some reason, I want to adjust ax1 with ax1.set_position.
 (In the real application only fine adjust)
 If I run the script only to this point it works as expected.

 Next I put another Axes ax2 with a new GridSpec gs2.
 With the command gs2.update() the Axes ax1 will be put back
 to the place where it would be without ax1.set_position().

 Is this behavior to be explained?



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Re: [Matplotlib-users] bug report and fix for bracket arrow (annotations)

[Jae-Joon Lee]

Thanks for reporting this.
This is now fixed in the v1.0.x-maint branch and the master branch.

Regards,

-JJ


On Sat, Sep 17, 2011 at 10:33 AM, Daniel Hyams dhy...@gmail.com wrote:
 In  http://matplotlib.sourceforge.net/users/annotations_guide.html ,
 about 1/3 of the way down, there is a little demonstrator for the
 different arrowstyles -, -, ]-, etc.

 Looking at the figure closely, there is no difference between the -[
 and ]- styles.

 The fix for this is in patches.py, around line 3276 (matplotlib
 1.0.0).  Comments in that routine clipped out for brevity.

   class BracketA(_Bracket):
        def __init__(self, widthA=1., lengthA=0.2, angleA=None):

            super(ArrowStyle.BracketA, self).__init__(None,True,
                     widthA=widthA, lengthA=lengthA, angleA=angleA )

 If you flip the first two args of the __init__ call, that fixes it:

   class BracketA(_Bracket):
        def __init__(self, widthA=1., lengthA=0.2, angleA=None):

            super(ArrowStyle.BracketA, self).__init__(True,None,
 ## flip these arguments
                     widthA=widthA, lengthA=lengthA, angleA=angleA )


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Re: [Matplotlib-users] Drawing on a figure, not a subplot

[Jae-Joon Lee]

On Sat, Sep 17, 2011 at 6:10 AM, John Ladasky
john_lada...@sbcglobal.net wrote:
 But that isn't my goal here.  I want to add lines to the FIGURE, outside
 of any Axes.  Does anyone know how to accomplish this?  Thanks!

Not sure what you mean here.
Adding a patch to an axes does not mean it cannot be drawn outside of
axes. As far as you set (or unset) proper clip box, artists can be
drawn anywhere in the canvas regardless of the axes it belongs to.
Here is an example,

Regards,

-JJ


ax = subplot(111)

from matplotlib.patches import FancyArrow
p = FancyArrow(0.05, 0.5, 0.2, 0.0, width=0.01,
   length_includes_head=False,
   head_width=None, head_length=None,
   shape='full', overhang=0,
   head_starts_at_zero=False,
   transform=ax.figure.transFigure,
   clip_on=False)

ax.add_patch(p)

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Re: [Matplotlib-users] draggable annotation bug and fix

[Jae-Joon Lee]

Thanks for reporting this.
This is now fixed in the v1.0.x-maint branch and in the master branch.

Regards,

-JJ


On Fri, Sep 16, 2011 at 9:43 AM, Daniel Hyams dhy...@gmail.com wrote:
 There seems to be a problem with the draggable annotation code when
 the annotation is just clicked, and not dragged.  If you run the
 following code:

 import matplotlib.pyplot as plt
 fig = plt.figure()
 ax = fig.add_subplot(111)
 ann = ax.annotate('local max', xy=(2, 1), xytext=(3,
 1.5),arrowprops=dict(facecolor='black', shrink=0.05))
 ann.draggable()
 ax.set_ylim(-2,2)
 ax.set_xlim(0,5)
 plt.show()

 And click (just a single click) the annotation (the words local
 max), then resize your window a little to force a redraw.  The
 annotation flips to the bottom left corner.

 The fix is in offsetbox.py, DraggableAnnotation.save_offset.  If you
 add a call to update_offset() as the last call of that routine,
 everything is OK again.  I think that finalize_offset is assuming that
 self.annotation.text is in pixels before it starts working with it,
 but when update_offset fails to get called (as the case with a click),
 self.annotation.xytext is still in axes fraction coordinates.

   def save_offset(self):
        ann = self.annotation
        x, y = ann.xytext
        if isinstance(ann.textcoords, tuple):
            xcoord, ycoord = ann.textcoords
            x1, y1 = ann._get_xy(self.canvas.renderer, x, y, xcoord)
            x2, y2 = ann._get_xy(self.canvas.renderer, x, y, ycoord)
            ox0, oy0 = x1, y2
        else:
            ox0, oy0 = ann._get_xy(self.canvas.renderer, x, y, ann.textcoords)

        self.ox, self.oy = ox0, oy0
        self.annotation.textcoords = figure pixels
        self.update_offset(0.0,0.0)  # --- add this!


 It might be sufficient to just set self.annotation.xytext to
 self.ox,self.oy instead of calling update_offset like I did above.


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Re: [Matplotlib-users] superimposition of Cartesian projection axis on a polar axis on the same position

[Jae-Joon Lee]

On Thu, Sep 15, 2011 at 5:08 AM, Youngung Jeong
youngung.je...@gmail.com wrote:
 But it only gives one axis added to 'fig.axes'.
 Is there any work-around? Or am I missing some other feature of matplotlib?

Somehow, this is not clearly documented for the subplot command.
You need to use label parameter to create multiple axes at a same
position (for more details,
http://matplotlib.sourceforge.net/api/figure_api.html#matplotlib.figure.Figure.add_axes)


axr=fig.add_subplot(1,1,1, label=r)
axp=fig.add_subplot(1,1,1,projection='polar', label=p)

Regards,

-JJ

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Re: [Matplotlib-users] superimposition of Cartesian projection axis on a polar axis on the same position

[Jae-Joon Lee]

On Thu, Sep 15, 2011 at 6:18 AM, Benjamin Root ben.r...@ou.edu wrote:
 There are some ways to do this, but I haven't tried them myself.

 http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/axislines.html

 Ben Root


You may better stick to the subplot with polar projection if your
original data is in polar coordinate.
The axislines module basically assumes that your data is in rectlinear
coordinate system. It only draws the gridlines and labels in
curvelinear system (although you can combine both).

Regards,

-JJ

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Re: [Matplotlib-users] superimposition of Cartesian projection axis on a polar axis on the same position

[Jae-Joon Lee]

On Thu, Sep 15, 2011 at 5:08 AM, Youngung Jeong
youngung.je...@gmail.com wrote:
 but since contour function does not plot on the polar coordinate system

I think this is not True, but I may misunderstood you. Can you post an
example that does not work? Here is a simple example that shows it
does work. But I hardly use polar coordinate, and my example could be
too simple.


ax = subplot(111, polar=True)

aa = np.indices((10,10))
x = np.linspace(0., np.pi*2, 10)
y = np.linspace(0., 10, 10)

ax.pcolormesh(x, y, aa[0], cmap=gray)
ax.contour(x, y, aa[0])

Both pcolormesh and contour gives a consistent result.

However, I think, while the resulting contour lines are drawn in polar
coordinate system, the actual contouring is done in rectlinear
cooridinate system. So there may be some caveats.

Regards,

-JJ

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Re: [Matplotlib-users] Suggestion for annotation arrow clipping

[Jae-Joon Lee]

On Mon, Sep 12, 2011 at 3:20 AM, Daniel Hyams dhy...@gmail.com wrote:
 I would suggest the following modification to Annotation.draw in
 text.py.  All it does is set a clip box so that the annotation and
 arrow is still drawn, but the arrow is clipped at the axes boundary.
 It is a much nicer effect than the annotation disappearing.  I have
 made this modification in my source locally, and it works very well,
 but I thought I would suggest here for inclusion into the main code
 base.


Can you explain more explicitly why you think this behavior is better?
For example, what is the point of annotating something if that
something is not visible?
Also, annotating texts are often placed outside of axes area. I don't
think clipping out the arrow is a good idea in this case.

Just in case, this is just a default behavior. You can override this
behavior without changing the mpl source code.

Regards,

-JJ

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Re: [Matplotlib-users] 2 x-axes

[Jae-Joon Lee]

Just in case, here is a version with axes_grid1 toolkit. Note that
axes_grid is kind of deprecated.
Regards,

-JJ


import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.axes_grid1 as axes_grid1

host = axes_grid1.host_subplot(111)
hplt, = host.plot(np.random.rand(100))


from matplotlib.transforms import Affine2D
transfrom_from_parx_to_host = Affine2D().scale(1000, 1)
parx = host.twin(transfrom_from_parx_to_host)

if 1: # adjust axis postion etc.
parx.axis[right].toggle(ticklabels=False)
parx.axis[top].toggle(ticklabels=False)
parx.axis[bottom].toggle(ticklabels=True)

parx.axis[bottom].line.set_visible(True)
parx.spines[bottom].set_position(('outward',20))

plt.show()


On Sat, Sep 10, 2011 at 6:14 AM, Gökhan Sever gokhanse...@gmail.com wrote:
 Hi,
 The code below should create a properly placed 2nd x-axis. You might need to
 adjust the placement of the figure canvas to match into the window.
 import numpy as np
 import matplotlib.pyplot as plt
 from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
 fig = plt.figure(figsize=(10,8))
 host = SubplotHost(fig, 111)
 fig.add_subplot(host)
 parx = host.twiny()
 parx.axis[top].set_visible(False)
 offset = 0, -50
 new_axisline = parx.get_grid_helper().new_fixed_axis
 parx.axis[bottom] = new_axisline(loc=bottom, axes=parx, offset=offset)
 parx.axis[bottom].label.set_visible(True)
 hplt, = host.plot(np.random.rand(100))
 p2, = parx.plot(np.linspace(0,20,100), np.random.rand(100)*5.0,
 color='green')
 plt.show()

 There is also another example at:
 http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axisartist-with-parasiteaxes
 Hope this helps.
 On Fri, Sep 9, 2011 at 12:50 PM, Neal Becker ndbeck...@gmail.com wrote:

 Neal Becker wrote:

  I have a semilog plot.  I'd like to add a second x axis (maybe below the
  existing one, or else maybe on top of graph).  This second x axis is
  simply
  describing the same existing data, in different units.
 
  For example imagine a plot of
 
  x - time in seconds
  y - velocity
 
  x2 - time in minutes
 
 

 This almost works:
    fig = plt.figure()
    ax = fig.add_subplot(111)
 ...
    ax2 = ax.twiny()
    min_x, max_x = ax.get_xlim()
    ax2.set_xlim (min_x-1, max_x-1)

 except the 2nd x axis is on the top, and prints right on top of the title



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Re: [Matplotlib-users] 2 x-axes

[Jae-Joon Lee]

On Sun, Sep 11, 2011 at 10:16 PM, Neal Becker ndbeck...@gmail.com wrote:
 Yes, that's very helpful.  Just one thing.  How would I get a bit more bottom
 margin on the main figure to leave more room for the extra axis?

 I'm using this as an example.  I experimented with plt.subplots_adjust, which
 seems like it might do the right thing.  Is this the 'best' approach?
 (I really don't know what all these methods do, just guessing)

Yes, you need to fiddle with subplots_adjust command. The current
development branch of matplotlib (not yet released) has a new function
tight_layout, which does this automatically for you.
Regards,

-JJ

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Re: [Matplotlib-users] Figure clipping incorrectly ; specify whether clips horizontally or vertically

[Jae-Joon Lee]

On Wed, Sep 7, 2011 at 12:09 AM, Jeffrey Spencer jeffspenc...@gmail.com wrote:
 Can I specify horizontal or vertical clipping?? Or what is the best way to
 get around this?

my understanding is that the clipping is done with a closed path. so
I don't think one can do such thing as horizontal clipping, etc. I
guess one way is to simply increase the size of the clipping box
toward the direction you want. Here is a simple example,

Regards,

-JJ


x = np.arange(0, 8, 0.01)
y = np.sin(x)

ax = subplot(111)
l1, = plot(x, y, lw=4)

import matplotlib.transforms as mtransforms

bbox_ = mtransforms.Bbox.from_bounds(0, 0, 1., 1 + 0.1) # increase the height
bbox = mtransforms.TransformedBbox(bbox_, ax.transAxes)

l1.set_clip_box(bbox)

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Re: [Matplotlib-users] edge joinstyle on rectangles

[Jae-Joon Lee]

On Wed, Sep 7, 2011 at 12:47 AM, Jeffrey Blackburne
jblackbu...@alum.mit.edu wrote:
 It would be nice to have. Since the patch edge seemed to be using a round 
 style and I wanted miter, my workaround was just to use a separate step 
 plot to overlay the outline. But for more general cases (e.g., a bar plot not 
 created from a histogram or if I wanted a bevel style), I'm not sure how I 
 would do it.

 Thanks,
 Jeff


I also agree that this needs to be supported.
Meanwhile, a workaround is to use the patheffects module.

For example,

from matplotlib.patheffects import Stroke

b = bar([0, 1, 2], [1, 0.5, 2], linewidth=10, fc=none)
for p in b:
p.set_path_effects([Stroke(joinstyle=miter)])

-JJ

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Re: [Matplotlib-users] contour's clabels overlap each other in an ImageGrid

[Jae-Joon Lee]

Hi,

I think this is partly because the current clabel implementation of
matpltolib does not correctly account the dpi setting. I opened a pull
request I think fix this problem. Please try that fix if you can.

https://github.com/matplotlib/matplotlib/pull/453

Otherwise, I think you can workaround this by using the default dpi
(72 or similar).

Regards,

-JJ

On Fri, Sep 2, 2011 at 11:28 PM, R. O'Gara ronog...@yahoo.com wrote:
 Jae-Joon, thanks for your reply.
 There is a combination of effects that make my contour labels placed in 
 unfortunate positions. Here is a self-contained example (somewhat different 
 from issue I originally explained, but illustrates the fact clabels are not 
 where I'd like them to be)


 import numpy as np
 import matplotlib as mpl
 ff = 10
 params = {
     'text.usetex': True,
     'axes.labelsize': ff,
     'axes.fontsize': ff,
     'legend.fontsize' : ff,
     'xtick.labelsize' : ff,
     'ytick.labelsize' : ff,
     'figure.dpi': 150,
     'figure.figsize' : [5,2],
 }
 mpl.rcParams.update(params)
 import matplotlib.pyplot as plt
 import matplotlib.gridspec as gridspec

 gs = gridspec.GridSpec(1,2)

 ax = plt.subplot(gs[0])

 xi = np.linspace(0,0.4,100)
 yi = np.linspace(0,0.4,100)
 xx,yy = np.meshgrid(xi,yi)
 zi = np.sin(5*xx*yy)

 v = np.arange(0.0, 0.5, 0.1)
 cplot = ax.contour(xi, yi, zi, v, linewidths=0.5, colors='k')
 ax.clabel(cplot, v,
     fontsize = 8,
     inline=True,
     fmt = %0.2f,
 )
 ax.axis([np.min(xi),np.max(xi),np.min(yi),np.max(yi)])
 plt.show()



 The end result is that contour labels are placed almost outside of the grid, 
 with most of the area in the center being blank. I am pretty sure it has to 
 do with the way rcParams are set, but I have no idea why. Params I do need to 
 set are text.usetex, figure.dpi, and figure.figsize. I am using matplotlib 
 1.0.1.

 Thanks for your help,



 - Original Message -
 From: Jae-Joon Lee lee.j.j...@gmail.com
 To: R. O'Gara ronog...@yahoo.com
 Cc: matplotlib-users@lists.sourceforge.net 
 matplotlib-users@lists.sourceforge.net
 Sent: Monday, August 22, 2011 11:56 PM
 Subject: Re: [Matplotlib-users] contour's clabels overlap each other in an 
 ImageGrid

 Can you post an simple self-contained script that reproduces your problem?
 I just tried something similar but could not reproduces your problem.
 Here is what I did,
 Also, what version of matplotlb are you using?

 Regards,

 -JJ

 import matplotlib.pyplot as plt
 import numpy as np

 from mpl_toolkits.axes_grid1 import ImageGrid

 fig = plt.figure(1)

 arr = np.arange(100).reshape((10, 10))

 grid = ImageGrid(fig, 111, (2, 2))


 cntr0 = grid[0].contour(arr)
 cntr1 = grid[1].contour(arr)
 cntr2 = grid[2].contour(arr)
 cntr3 = grid[3].contour(arr)

 plt.clabel(cntr0, manual=True)
 plt.clabel(cntr1, manual=True)
 plt.clabel(cntr2, manual=True)
 plt.clabel(cntr3, manual=True)



 On Thu, Aug 18, 2011 at 1:10 PM, R. O'Gara ronog...@yahoo.com wrote:
 Hey guys,


 I was hoping someone could provide a hint for how I should go about 
 correcting this. As you can see, locations for the inline labels for
 contours in this image are unfortunately chosen, and they overlap with one 
 another. If I set manual to 'True' then I get this weird behavior
 where I can only choose labels in the top left grid and nothing is shownin 
 any of the other grids.

 I am using a 2x2 Image Grid (I get the same problem when using gridspec 
 instead of image grid), and loadingcontour data (2x2 array) from a file.

 Thanks for your help,
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Re: [Matplotlib-users] change font properties of legend title?

[Jae-Joon Lee]

l = legend()
l.get_title().set_fontproperties(...)

-JJ


On Thu, Sep 1, 2011 at 6:48 AM, Alan G Isaac alan.is...@gmail.com wrote:
 How can I change font properties of a legend title?

 Thanks,
 Alan Isaac

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Re: [Matplotlib-users] change font properties of legend title?

[Jae-Joon Lee]

On Thu, Sep 1, 2011 at 7:21 AM, Alan G Isaac alan.is...@gmail.com wrote:
 On 8/31/2011 5:48 PM, Alan G Isaac wrote:
 How can I change font properties of a legend title?


 Related question: would it be a reasonable suggestion for
 Legend.set_title to take a ``prop`` argument?

 Alan Isaac

Can you file an github issue for this?

Regards,

-JJ




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Re: [Matplotlib-users] ImageGrid, force grid boxes to be same size

[Jae-Joon Lee]

If you don't care about the aspect ratio at all, you can use
aspect=auto.  Check the thread below.

http://old.nabble.com/Re%3A-Can-I-change-pixel-aspect-with-axes_grid-p32300471.html

Regards,

-JJ


On Sat, Aug 13, 2011 at 5:01 AM, R. O'Gara ronog...@yahoo.com wrote:
 Hi,
 From the attached figure, you can see that the plots I am trying to show in
 the bottom two quadrants, are too narrow. That is because the y-axis of
 those two plots is meant to be in the 0-1 range, i.e. much smaller than
 y-axis in the upper two, so the height of the bottom grid boxes is tiny. How
 can I force the heights of all boxes to be the same?
 Much appreciated,
 Ron

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Re: [Matplotlib-users] contour's clabels overlap each other in an ImageGrid

[Jae-Joon Lee]

Can you post an simple self-contained script that reproduces your problem?
I just tried something similar but could not reproduces your problem.
Here is what I did,
Also, what version of matplotlb are you using?

Regards,

-JJ

import matplotlib.pyplot as plt
import numpy as np

from mpl_toolkits.axes_grid1 import ImageGrid

fig = plt.figure(1)

arr = np.arange(100).reshape((10, 10))

grid = ImageGrid(fig, 111, (2, 2))


cntr0 = grid[0].contour(arr)
cntr1 = grid[1].contour(arr)
cntr2 = grid[2].contour(arr)
cntr3 = grid[3].contour(arr)

plt.clabel(cntr0, manual=True)
plt.clabel(cntr1, manual=True)
plt.clabel(cntr2, manual=True)
plt.clabel(cntr3, manual=True)



On Thu, Aug 18, 2011 at 1:10 PM, R. O'Gara ronog...@yahoo.com wrote:
 Hey guys,


 I was hoping someone could provide a hint for how I should go about 
 correcting this. As you can see, locations for the inline labels for
 contours in this image are unfortunately chosen, and they overlap with one 
 another. If I set manual to 'True' then I get this weird behavior
 where I can only choose labels in the top left grid and nothing is shownin 
 any of the other grids.

 I am using a 2x2 Image Grid (I get the same problem when using gridspec 
 instead of image grid), and loadingcontour data (2x2 array) from a file.

 Thanks for your help,
 Ron
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Re: [Matplotlib-users] Gridspec and shared y-axis label

[Jae-Joon Lee]

On Thu, Aug 18, 2011 at 5:53 PM, mogliii mogl...@gmx.net wrote:
 2) I want to make a shared y-axis label. I found this page:
 http://www.scipy.org/Cookbook/Matplotlib/Multiple_Subplots_with_One_Axis_Label
 But any additional axis I put before the gridspec axis is not shown in
 the end. Is there a special procedure that can be used together with
 gridspec?

This is general behavior of subplot command.

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.subplot

If you want to suppress this, do something like

  fig.add_subplot(gs[0])

Regards,

-JJ

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Re: [Matplotlib-users] adding custom legends to multicolored line

[Jae-Joon Lee]

You may use a proxy artist.

http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist

for example,

from matplotlib.lines import Line2D
l1 = Line2D([], [], linewidth=3, color=r)
l2 = Line2D([], [], linewidth=3, color=g)
l3 = Line2D([], [], linewidth=3, color=b)

legend([l1, l2, l3], [label 1, label 2, label 3])

Regards,

-JJ

On Wed, Aug 17, 2011 at 1:24 AM, Ravi Kanth Vanapalli
vvnrk.vanapa...@gmail.com wrote:
 Hi ,

 I wish to add a custom legend to a multicolored line drawn using matplotlib
 as shown in the figure below
 http://www.scipy.org/Cookbook/Matplotlib/MulticoloredLine
 I tried exploring the legend but somehow couldn't figure out its usage and
 how to adapt it to multicolored line as in the above link
 I need to use say Red line  for label1 and blue line for label2 and green
 line for label3. All the three colors are a part of a single sinusoidal wave
 as in the above link.
 Any thoughts/ideas/suggestions which could provide me some direction on this
 would be highly appreciated.

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Re: [Matplotlib-users] Can I change pixel aspect with axes_grid

[Jae-Joon Lee]

If you want aspect=auto, this must also be set when you create ImageGrid.
A simple example is attached.
If you want a fixed aspect other than 1, it is doable but gets a bit
tricky. Let me know if this is what you want.

Regards,

-JJ



from mpl_toolkits.axes_grid1 import ImageGrid

fig = plt.figure(1)

grid = ImageGrid(fig, 111, (2, 1),
 aspect=False,
 label_mode='L', cbar_mode=single,
 )

arr = np.arange(100).reshape((10, 10))
im1 = grid[0].imshow(arr, aspect=auto)
im2 = grid[1].imshow(arr, aspect=auto)

grid[0].cax.colorbar(im1)




On Sat, Aug 20, 2011 at 2:43 PM, gru...@bigpond.net.au
gru...@bigpond.net.au wrote:
 Usually imshow(arr, aspect='auto') or imshow(arr, aspect=2.0) will
 display the image with pixels having some aspect ratio other than 1:1
 However, I cannot get this to work when using imshow within an AxesGrid axis.
 Is there a way to get an array shown with imshow() within an AxesGrid
 axis to have a pixel aspect other than 1:1 ?
 If not, is there a simple way to add a shared colorbar when using subplots() ?

 Gary

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Re: [Matplotlib-users] mathtext in eps figures doesn't come out in pdf

[Jae-Joon Lee]

When I converted the ps file to pdf, the result is okay.

I tried

  * ps2pdf (from ghostscript version 8.61)
  * ps2pdf (from ghostscript version 9.02)
  * preview in mac os X

and they all worked fine.
I wonder if this could be a bug in the pspdf (ghostscript 8.70 I believe).
Can you try other version of ps2pdf?

Regards,

-JJ



On Wed, Aug 17, 2011 at 9:53 PM, Jonathan Slavin
jsla...@cfa.harvard.edu wrote:
 Attached are examples of the problem -- a PostScript file and the pdf
 that is created using ps2pdf.  The y-axis is properly labeled in the ps
 file, but the part of the label using mathtext becomes invisible in the
 pdf.

 Jon

 On Wed, 2011-08-17 at 14:09 +0900, Jae-Joon Lee wrote:
 Can you post an output eps file so that we can take a look?
 Regards,

 -JJ



 On Wed, Aug 17, 2011 at 5:52 AM, Jonathan Slavin
 jsla...@cfa.harvard.edu wrote:
  Hi all,
 
  I've been making figures for a paper I'm writing (to be submitted to the
  ApJ).  I'm using LaTeX and so need to use encapsulated PostScript for
  the figures.  The problem is that when the paper is translated to pdf
  from PostScript, the mathtext in the figures disappears.  The reason
  that I think this is a matplotlib issue is that it's never happened to
  me with eps figures created in different ways.  It's clear that this
  must be related to fonts, but I'm not sure how to get around it.  Should
  I set text.usetex to True?  I have a feeling this issue must have come
  up before, but I haven't found anything obviously pertinent in the
  mailing list archives.
 
  Jon
 
 
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Re: [Matplotlib-users] Gridspec and shared y-axis label

[Jae-Joon Lee]

On Fri, Aug 19, 2011 at 1:29 AM, mogliii mogl...@gmx.net wrote:
 Looking back I must say that
 http://matplotlib.sourceforge.net/api/gridspec_api.html#matplotlib.gridspec.GridSpecBase
 is not very helpful. And it is very counter-intuitive to the Axes
 dimension specification with location lower left and width/height
         plt.axes([0.1, 0.1, 0.8, 0.8])

Those parameters are inherited from subplot parameters

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.subplots_adjust

But, I agree that the documentation of grispec needs to be improved
(any contribution will be appreciated).

Regards,

-JJ

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Re: [Matplotlib-users] mathtext in eps figures doesn't come out in pdf

[Jae-Joon Lee]

Can you post an output eps file so that we can take a look?
Regards,

-JJ



On Wed, Aug 17, 2011 at 5:52 AM, Jonathan Slavin
jsla...@cfa.harvard.edu wrote:
 Hi all,

 I've been making figures for a paper I'm writing (to be submitted to the
 ApJ).  I'm using LaTeX and so need to use encapsulated PostScript for
 the figures.  The problem is that when the paper is translated to pdf
 from PostScript, the mathtext in the figures disappears.  The reason
 that I think this is a matplotlib issue is that it's never happened to
 me with eps figures created in different ways.  It's clear that this
 must be related to fonts, but I'm not sure how to get around it.  Should
 I set text.usetex to True?  I have a feeling this issue must have come
 up before, but I haven't found anything obviously pertinent in the
 mailing list archives.

 Jon


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Re: [Matplotlib-users] Subplot of subplots.

[Jae-Joon Lee]

There are a few options you can try. And I recommend you to use gridspec module.

http://matplotlib.sourceforge.net/users/gridspec.html

It can also be used with ImageGrid (at least in the master branch, but
not sure for 1.0.1 release).

I'm attaching a sample script.

Regards,

-JJ


On Sat, Aug 6, 2011 at 12:57 AM, astabada astab...@gmail.com wrote:

 Hi, I am using add_subplot(...) to create a row of 4 plots, and have a tricky
 question.
 I have an image (a figure instance) composed of 4 subplots in a single row.
 I'd like to know how to arrange a number of these rows in a bigger grid,
 namely a grid of 10x3 plots, each plot made up of 1x4 subplots. The ideal
 solution would be:
 * function that returns 1x4 plots
 * call that function repeatedly
 I tried to do this with
 def function(figure, which_one, index):
  grid = ImageGrid(figure, 10,3,index, nrows_ncols = (1, 4))
  grid[0].imshow(something(which_one))
  grid[1].imshow(.)
  ...

 however the plots apparently share the y axis, which for me is unfeasable
 as:
 1) the first of 4 images has about 1 pixels, while the others have 24
 (6x4 pixels): no chance they can be on the same scale!
 2) I want to plot a colorbar on top of the 6x4 subplots.
 3) I want to write labels on top of the 6x4 subplots.

 This is what grid produces: an ugly white space if y axes don't have the
 same length.
 http://old.nabble.com/file/p32203453/grid.png

 This is my best attempt, still a lot of work to do, but don't know how to
 tile several of these in a 10x3 array.
 http://old.nabble.com/file/p32203453/ifu1_1plot.png

 Thank you very much.

 Desperately,
 astabada
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subplot_in_subplot.py
Description: Binary data
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Re: [Matplotlib-users] Using comma as decimal separator

[Jae-Joon Lee]

I just installed the fr_FR locale and tested your patch, and I don't
see any problem.
I suspect that this is the problem of Axes3D (that has recently fixed
by Ben), and has nothing with your patch.
If I revert Ben's commit, than an error is raised regardless of the
value of rcParams[axes.formatter.use_locale].

Regards,

-JJ

On Sat, Aug 6, 2011 at 12:49 AM, Michael Droettboom md...@stsci.edu wrote:
 I'm still puzzled here.  The TeX file is definitely being generated with
 an unreasonably large size, which is what causes it to blow up.  It gets
 the size from the size of the matplotlib figure, which I assume is being
 incorrectly calculated by the tight bounding box code.  Of course, I
 can't reproduce that here, so I'm not sure what's going on.

 Do any of the developers who understand the tight bounding box code have
 any theories?

 Mike

 On 08/05/2011 09:57 AM, José Alexandre Nalon wrote:
 Hello!

 This is puzzling.  I can't reproduce this -- I even get nice commas.
 Are you running the locale_formatting branch exactly as it is (i.e. not
 applying it as a patch to another version of matplotlib)?  What platform
 are you on?  Which backend?  What does echo $LANG at the commandline say?
 I actually am getting this error with a couple of scripts,
 but both use bbox_inches='tight', and are 3D plots. I tried
 2D plots with this option and there was no problem. In every
 script, I also get the commas. It is probably one of those
 bugs that appear because of the configuration of the many
 packages that are being used.

 I gathered some information, and I hope it helps. I am using
 Kubuntu 10.10, and Texlive distribution. I downloaded the
 .tar.gz package from github in your branch, and built it.
 At the time of compilation, I didn't have Tk or GTK headers
 (since I don't use matplotlib interactively, I don't really
 need them). Below, I also included the list of met dependencies,
 according to the installation script. I got no errors during
 compilation, only a warning (also listed below). Tex file
 and others are attached with this message (since my /tmp
 directory was wiped in reboot, I had to run the script again,
 hence the different names). This is all the information that I
 could think of, but if there is anything else, just send a
 message. Thanks again for your work!

 nalon@marvin:~/temp/test$ uname -a
 Linux marvin 2.6.35-30-generic #56-Ubuntu SMP Mon Jul 11 20:00:22 UTC 2011
 i686 GNU/Linux

 nalon@marvin:~/temp/test$ echo $LANG
 pt_BR.UTF-8

 nalon@marvin:~/temp/test$ latex -v
 pdfTeX 3.1415926-1.40.10-2.2 (TeX Live 2009/Debian)
 kpathsea version 5.0.0
 Copyright 2009 Peter Breitenlohner (eTeX)/Han The Thanh (pdfTeX).
 There is NO warranty.  Redistribution of this software is
 covered by the terms of both the pdfTeX copyright and
 the Lesser GNU General Public License.
 For more information about these matters, see the file
 named COPYING and the pdfTeX source.
 Primary author of pdfTeX: Peter Breitenlohner (eTeX)/Han The Thanh (pdfTeX).
 Compiled with libpng 1.2.44; using libpng 1.2.44
 Compiled with zlib 1.2.3.4; using zlib 1.2.3.4
 Compiled with poppler version 0.14.2

 nalon@marvin:~/temp/test$ python
 Python 2.6.6 (r266:84292, Sep 15 2010, 15:52:39)
 [GCC 4.4.5] on linux2

 numpy.__version__
 '1.3.0'
 matplotlib.__version__
 '1.1.0'
 print matplotlib.rcParams['backend']
 agg

 Here is a relation of met dependencies and their versions
 (according to matplotlib installation script):

 Qt: 4.7.0
 PyQt: 4.8.1
 Freetype2: 12.0.6
 Cairo: 1.8.8
 libpng: 1.2.44
 dvipng: 1.13
 ghostscript: 8.71
 latex: 3.1415926
 pdftops: 0.14.3

 No errors during installation, only these warnings:

 src/path.cpp: In member function ‘Py::Object
 _path_module::convert_to_svg(const Py::Tuple)’:
 src/path.cpp:1590: warning: format not a string literal and no format
 arguments
 src/path.cpp:1590: warning: format not a string literal and no format
 arguments
 src/path.cpp:1593: warning: format not a string literal and no format
 arguments
 src/path.cpp:1593: warning: format not a string literal and no format
 arguments
 src/path.cpp:1502: warning: ‘clip_rect.agg::rect_basedouble::y2’ may be 
 used
 uninitialized in this function
 src/path.cpp:1502: warning: ‘clip_rect.agg::rect_basedouble::x2’ may be 
 used
 uninitialized in this function
 src/path.cpp:1502: warning: ‘clip_rect.agg::rect_basedouble::y1’ may be 
 used
 uninitialized in this function
 src/path.cpp:1502: warning: ‘clip_rect.agg::rect_basedouble::x1’ may be 
 used
 uninitialized in this function

 ---
 José Alexandre Nalon
 na...@terra.com.br


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Re: [Matplotlib-users] Adding Title to RadioButtons Axis

[Jae-Joon Lee]

On Fri, Aug 5, 2011 at 4:22 AM, Paul Blelloch paul.blell...@ata-e.com wrote:
 title   = 'Overlap'

Did you mean to do

  title(Overlap)

?
And yes it works as expected.
If it does not work for you, please post a simple but complete example.

-JJ

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Re: [Matplotlib-users] Customize Tick Labels with Axis Artist

[Jae-Joon Lee]

There could be a few ways. What I recommend as a matter of fact is to
use other method to draw gridlines. On the other hand, given that you
have a working example, it could be better to have different axis to
draw ticklabels in locations where you want. Here is a diff.

Regards,

-JJ

*** qqwee2.py   2011-07-20 22:02:37.973960916 +0900
--- qqwee.py2011-07-20 22:04:46.063960883 +0900
***
*** 36,41 
--- 36,60 
 ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
 fig.add_subplot(ax1)

+grid_locator1 = FixedLocator([j-0.5*pi for j in theta[::10]])
+grid_locator2 = FixedLocator([i for i in rad[::5]])
+
+grid_helper2 = floating_axes.GridHelperCurveLinear(tr,
+extremes=(.5*pi-0.17,
-.5*pi+0.17, 120, 1),
+grid_locator1=grid_locator1,
+grid_locator2=grid_locator2,
+tick_formatter1=None,
+tick_formatter2=None,
+)
+
+ax1.axis[left2] = grid_helper2.new_fixed_axis(left, axes=ax1)
+ax1.axis[left2].line.set_visible(False)
+ax1.axis[left2].toggle(ticks=False)
+
+ax1.axis[bottom2] = grid_helper2.new_fixed_axis(bottom, axes=ax1)
+ax1.axis[bottom2].line.set_visible(False)
+ax1.axis[bottom2].toggle(ticks=False)
+
 # create a parasite axes whose transData in RA, cz
 aux_ax = ax1.get_aux_axes(tr)




On Tue, Jul 12, 2011 at 2:12 AM, bhargav vaidya coolas...@gmail.com wrote:
 Hello all,

 I need help to have customize tick labels using axis artist.
 My problem is to create a grid representation in polar co-ordinates (see fig) 
 with r = logspace(log(1),log(120),128)
 and theta = linspace(0.17,2.97,64) # in radians

 I managed to to create the proper gridlines. But unfortunately I have to 
 remove the tick labels as the way I describe the grid locator they crowd the 
 axis.
 I would like to choose only certain points on the axis and label them as the 
 plot would look nice.


 Regards
 Bhargav Vaidya.

 Here is my code modified to my need from already existing code found in the 
 web :

 from matplotlib.transforms import Affine2D
 import mpl_toolkits.axisartist.floating_axes as floating_axes

 import numpy as np
 import  mpl_toolkits.axisartist.angle_helper as angle_helper
 from matplotlib.projections import PolarAxes
 from mpl_toolkits.axisartist.grid_finder import FixedLocator, MaxNLocator, \
     DictFormatter

 def setup_axes2(fig, rect):

    tr = PolarAxes.PolarTransform()

    pi = np.pi
    rad = np.logspace(np.log(1.),np.log(120.),128) # Radial
    theta = np.linspace(0.17,2.97,64) # Theta Co-ordinates
    angle_ticks = [(0, r$\frac{1}{2}\pi$),
                   (.25*pi, r$\frac{1}{4}\pi$),
                   (.5*pi, r$0$),
                   (-.25*pi, r$\frac{3}{4}\pi$),
                   (-0.5*pi, r$\pi$)]
    grid_locator1 = FixedLocator([j-0.5*pi for j in theta])
    #grid_locator1 = FixedLocator([v for v, s in angle_ticks])


    grid_locator2 = FixedLocator([i for i in rad])

    grid_helper = floating_axes.GridHelperCurveLinear(tr,
                                        extremes=(.5*pi-0.17, -.5*pi+0.17, 
 120, 1),
                                        grid_locator1=grid_locator1,
                                        grid_locator2=grid_locator2,
                                        tick_formatter1=None,
                                        tick_formatter2=None,
                                        )

    ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
    fig.add_subplot(ax1)

    # create a parasite axes whose transData in RA, cz
    aux_ax = ax1.get_aux_axes(tr)

    aux_ax.patch = ax1.patch # for aux_ax to have a clip path as in ax
    ax1.patch.zorder=0.9 # but this has a side effect that the patch is
                        # drawn twice, and possibly over some other
                        # artists. So, we decrease the zorder a bit to
                        # prevent this.

    return ax1, aux_ax
 if 1:
    import matplotlib.ticker as mpltick
    import matplotlib.pyplot as plt
    fig = plt.figure(1, figsize=(10, 10))


    ax2, aux_ax2 = setup_axes2(fig, 111)


    ax2.axis[left].major_ticklabels.set_visible(False)
    ax2.axis[bottom].major_ticklabels.set_visible(False)

    ax2.grid(color='k',linestyle='-',linewidth=0.5)

    plt.show()

 Here is the eps file





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Re: [Matplotlib-users] colorbar() moves to wrong place on subplots_adjust call

[Jae-Joon Lee]

On Tue, Jun 14, 2011 at 4:58 AM, Nicholas Devenish
misnomer+matplot...@gmail.com wrote:
 Is there a way I can avoid or correct this behaviour? It certainly
 seems erroneous that using the figure GUI to adjust plot bounds
 doesn't work, and is an especially nice way of tweaking for final
 plots.


Unfortunately no.
This is a limitation of how colobar is currently implemented (v1.1
will have a workaround to this).
I think the simple (but may not be good enough) workaround is to call
colorbar after subplot adjusting is done.

Alternatively, you may try the axes_grid1 toolkit.

http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#colorbar-whose-height-or-width-in-sync-with-the-master-axes

Regards,

-JJ

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Re: [Matplotlib-users] Independent Legends

[Jae-Joon Lee]

The first argument of the label command is a list of artist to be
labeled. And it does not matter whether they are associated with axes
or not. What you can do, therefore, is

  1) draw something as you want them in the legend
  2) remove them from the axes
  3) make a legend from these artists.

 l1, = plt.plot([1,2,3])
 l1.remove()
 plt.legend([l1], [test])

If you know how to create artists w/o using axes method (or. pyplot
function), you may do so of course.

Regards,

-JJ





On Thu, Jun 2, 2011 at 3:41 AM, htaunay htau...@gmail.com wrote:

 Is there anyway to set/create legends independent of what I am plotting?
 Simply manually create, position and show legends, that not necessarily are
 directly linked to the graph.

 To be specific, I am plotting several points, in a scatter form,
 individually, and depending on the given attributes, I manually set what
 colour and marker each point will present. My intention is to create legends
 that specify the categories of my data, in a way that I can manually define
 what colour/marker they are linked to.

 Thanks in advance for any help!
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Re: [Matplotlib-users] bug in mpl_toolkits.axes_grid1.AxesGrid?

[Jae-Joon Lee]

Using AxesGrid does not mean that color scales are shared. It only
takes care of axes placement. And it is your responsibility to sync
colorbars of multiple images.

One option is to use *norm* attribute of images.

   norm = matplotlib.colors.Normalize()

   for i in range(3):
   im = grid[i].imshow(Z, extent=extent, interpolation=nearest,
   norm=norm)
   im = grid[3].imshow(1000 * Z, extent=extent, interpolation=nearest,
   norm=norm)

Regards,

-JJ


On Wed, May 25, 2011 at 11:05 AM, Paul Anton Letnes
paul.anton.let...@gmail.com wrote:
 Hi!

 I am wondering if there is a bug in:
 mpl_toolkits.axes_grid1.AxesGrid

 I am trying to run this example (I am of course working on something else, 
 but I am trying to build a minimal example of my problem):
 http://matplotlib.sourceforge.net/examples/axes_grid/demo_axes_grid.html
 This would be a very compact and nice way of showing my results, and I am 
 beginning to love it. There is one thing, though. Given the code attached at 
 the end of this message, the two versions produce figures that look 
 identical. To my mind, however, it doesn't exactly seem that the colorbars 
 are shared in any real sense.

 Try commenting out the 2-3 lines marked # Version 1 and # Version 2. I attach 
 two plots of what I get: same-looking plots with wildly varying colorbar 
 numbers. I'd like to get the numbers to be the same.

 TL;DR: In version 1 I am scaling the data for one of the contour plots by a 
 factor 1000, and would expect that plot to look quite different from the 
 others.

 Cheers
 Paul.


 # CODE:
 import matplotlib
 matplotlib.use('agg')
 import matplotlib.pyplot as plt
 from mpl_toolkits.axes_grid1 import AxesGrid


 def get_demo_image():
    import numpy as np
    from matplotlib.cbook import get_sample_data
    f = get_sample_data(axes_grid/bivariate_normal.npy, asfileobj=False)
    z = np.load(f)
    # z is a numpy array of 15x15
    return z, (-3,4,-4,3)

 def demo_grid_with_single_cbar(fig):
    
    A grid of 2x2 images with a single colobar
    
    grid = AxesGrid(fig, 132, # similar to subplot(132)
                    nrows_ncols = (2, 2),
                    axes_pad = 0.0,
                    share_all=True,
                    label_mode = L,
                    cbar_location = top,
                    cbar_mode=single)

    Z, extent = get_demo_image()

    # Version 1
    #for i in range(3):
        #im = grid[i].imshow(Z, extent=extent, interpolation=nearest)
    #im = grid[3].imshow(1000 * Z, extent=extent, interpolation=nearest)
    # Version 2
    for i in range(4):
        im = grid[i].imshow(Z, extent=extent, interpolation=nearest)

    # The rest is the same
    grid.cbar_axes[0].colorbar(im)

    # This affects all axes as share_all = True.
    grid.axes_llc.set_xticks([-2, 0, 2])
    grid.axes_llc.set_yticks([-2, 0, 2])


 if 1:
    F = plt.figure(1, (5.5, 2.5))

    F.subplots_adjust(left=0.05, right=0.98)

    demo_grid_with_single_cbar(F)

    plt.savefig('cbars')
    #plt.draw()
    #plt.show()


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Re: [Matplotlib-users] eps and useTex: tick labels drawn over legend box

[Jae-Joon Lee]

I'm not 100% sure on this but it seems that this is a limitation of
psfrag that the ps backend relies on. The ps backend first produces
an eps file without TeX labels, and these TeX labels are put on the
eps file with latex+psfrag. And it seems  these TeX labels are always
above the contents of the eps file.

Unfortunately, I don't think this can be easily fixed.
Regards,

-JJ


On Wed, Jun 1, 2011 at 6:34 AM, Brannon gilt...@gmail.com wrote:

 Hi,

 I am having trouble with matplotlib 1.0.1 drawing the axis tick labels over
 the legend box in the eps output when useTex is set to true. The plot shown
 after calling plt.show() looks fine, as does the output in pdf, png, svg
 etc. Only the postscript appears to be affected.

 The following simple example produces the png and eps files given at the
 bottom of this post:

 import matplotlib as mpl
 import matplotlib.pyplot as plt
 from matplotlib import rc

 rc('text', usetex=True)

 g1 = plt.plot([1,2,3,4],[500,600,700,800])
 g2 = plt.plot([1,2,3,4],[700,300,700,200])
 g3 = plt.plot([1,2,3,4],[800,600,900,800])

 plt.figlegend([g1,g2,g3],['test1','test2','test3'],'upper left')

 plt.savefig('image.png')
 plt.savefig('image.eps')

 plt.show()

 http://old.nabble.com/file/p31744864/image.eps image.eps
 http://old.nabble.com/file/p31744864/image.png image.png

 I would very much appreciate some help resolving this issue.

 Thanks
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Re: [Matplotlib-users] eps and useTex: tick labels drawn over legend box

[Jae-Joon Lee]

Just in case, I have opened a git issue on this.

https://github.com/matplotlib/matplotlib/issues/131

-JJ



On Wed, Jun 1, 2011 at 1:23 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 I'm not 100% sure on this but it seems that this is a limitation of
 psfrag that the ps backend relies on. The ps backend first produces
 an eps file without TeX labels, and these TeX labels are put on the
 eps file with latex+psfrag. And it seems  these TeX labels are always
 above the contents of the eps file.

 Unfortunately, I don't think this can be easily fixed.
 Regards,

 -JJ


 On Wed, Jun 1, 2011 at 6:34 AM, Brannon gilt...@gmail.com wrote:

 Hi,

 I am having trouble with matplotlib 1.0.1 drawing the axis tick labels over
 the legend box in the eps output when useTex is set to true. The plot shown
 after calling plt.show() looks fine, as does the output in pdf, png, svg
 etc. Only the postscript appears to be affected.

 The following simple example produces the png and eps files given at the
 bottom of this post:

 import matplotlib as mpl
 import matplotlib.pyplot as plt
 from matplotlib import rc

 rc('text', usetex=True)

 g1 = plt.plot([1,2,3,4],[500,600,700,800])
 g2 = plt.plot([1,2,3,4],[700,300,700,200])
 g3 = plt.plot([1,2,3,4],[800,600,900,800])

 plt.figlegend([g1,g2,g3],['test1','test2','test3'],'upper left')

 plt.savefig('image.png')
 plt.savefig('image.eps')

 plt.show()

 http://old.nabble.com/file/p31744864/image.eps image.eps
 http://old.nabble.com/file/p31744864/image.png image.png

 I would very much appreciate some help resolving this issue.

 Thanks
 --
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Re: [Matplotlib-users] Feature request: automatic scaling of subplots, margins, etc

[Jae-Joon Lee]

Attached is a modified version of Tony's script.

 * no drawing is necessary
 * support subplots that span multiple rows/columns

Please test it and let me know of any problem.

I'm planning to push these functionality into matplolib after some
refactoring (e.g., it would be good to have pyplot.tight_layout).

Regards,

-JJ

On Wed, May 11, 2011 at 8:50 PM, Daniel Mader
danielstefanma...@googlemail.com wrote:
 Hi again,

 Hi Jae-Loon,

 thanks for your comments! Of course I do agree that a figure layout
 should not change in interactive mode. However, I don't see why this
 should happen upon a panning action. A different case is when the
 label or title font sizes are changed, but I was assuming this is
 adjusted prior to the creation of the figure.


 Since you said the current design is broken, I thought you want things
 adjusted *whenever* a figure is updated.

 So, I guess what you want is some functionality like what Tony's script does?
 One of the reason that I was not very inclined to Tony's approach is
 that it only works for subplots (and I guess it only works with
 subplots with pure n x m grid. Correct me if I'm wrong). But maybe it
 is better than nothing. I'll consider how things can be improved.

 I do sense a match of ideas here :) This is exactly what I am missing!
 It is very good to hear that you are so open to suggestions and
 possible improvements!

 It is a great pleasure to work with Scipy/Matplotlib and interact with
 the community!

 Best regards,
 Daniel



tight_layout.py
Description: Binary data
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Re: [Matplotlib-users] Feature request: automatic scaling of subplots, margins, etc

[Jae-Joon Lee]

On Wed, May 11, 2011 at 5:03 PM, Daniel Mader
danielstefanma...@googlemail.com wrote:
 Hi Jae-Loon,

 thanks for your comments! Of course I do agree that a figure layout
 should not change in interactive mode. However, I don't see why this
 should happen upon a panning action. A different case is when the
 label or title font sizes are changed, but I was assuming this is
 adjusted prior to the creation of the figure.


Since you said the current design is broken, I thought you want things
adjusted *whenever* a figure is updated.

So, I guess what you want is some functionality like what Tony's script does?
One of the reason that I was not very inclined to Tony's approach is
that it only works for subplots (and I guess it only works with
subplots with pure n x m grid. Correct me if I'm wrong). But maybe it
is better than nothing. I'll consider how things can be improved.

Regards,

-JJ


 For the time being I am very happy with Tony's solution. It works nice
 most of the time, only very complex figures take forever now to be
 drawn.

 The current behavior *looks* broken to any user who does not
 understand the internals. And it's too likely that even simple figures
 look horrible. I'd definitely vote for a more end-user friendly
 solution (with end users I have scientific users in mind who generally
 appreciate the beauty of the generated plots but who don't integrated
 the library into some other application).

 Best regards,
 Daniel


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Re: [Matplotlib-users] Feature request: automatic scaling of subplots, margins, etc

[Jae-Joon Lee]

On Thu, May 12, 2011 at 2:37 AM, Brendan Barnwell brenb...@brenbarn.net wrote:
 One thing I've always wondered: is it fundamentally impossible to change the
 fact that, in matplotlib, you cannot know how big a drawn object will be
 until you actually draw it?

Well, I don't think this is 100% correct. As far as I can see, there
is two issues involved.

 1) size of text may depend on the renderer (since font selection
could be different).

 2) Position of some artist depend on position of other artist (e.g.,
the exact location of axis label depend on sizes of tick labels).

In fact, neither of these require drawing. But, the easiest way is
to draw it (primarily due to the second point).

Can you describe what you were doing with your animation?
Matplotlib provide some framework to overcome these limitation (e.g.,
classes in the offsetbox module). And there may be easier ways that
does what you want.

Regards,

-JJ

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Re: [Matplotlib-users] Feature request: automatic scaling of subplots, margins, etc

[Jae-Joon Lee]

On Thu, May 12, 2011 at 2:59 AM, Benjamin Root ben.r...@ou.edu wrote:
 Most things, we do know the sizes of.  It is my understanding that it is the
 text objects that is the unknown.  If this could be solved, then a layout
 engine would be much more feasible.

I doubt it. As far as I know, the main reason that things needed to be
drawn is because the location and size of some artist depends on
location and size of other artists.
Unfortunately, with current matplotlib code, most of these things are
determined inside the draw method. Therefore, we need to separate
out those things out from the draw method.

Another option, which I think is more feasible, is to implement a
BBoxRenderer which does not draw anything but only update the size and
location of artists.

Regards,

-JJ

 The problem is that even LaTeX has to
 re-render things multiple times to get this right for an arbitrary font.  If
 we were to restrict ourselves to particular fonts and package those fonts
 with matplotlib, then we could have an internal table of size information
 for each glyph and compute it on the fly and lay everything out right.  But,
 that would cause us to give up significant benefits for another benefit.

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Re: [Matplotlib-users] Possible bug / odd behaviour in GridSpec?

[Jae-Joon Lee]

Yes, this is a bug that has been fixed.

https://github.com/matplotlib/matplotlib/commit/76851eb

Regards,

-JJ


On Thu, May 12, 2011 at 7:53 AM, Goyo goyod...@gmail.com wrote:
 2011/5/12 David Andrews irbda...@gmail.com:
 Hi,

 I've come across something I don't entirely understand in the
 behaviour of gridspec.  It's not obvious from the code  docs for this
 module, but is it only supposed to be able to deal with 'square'
 layouts, e.g. 3x3, 4x4 etc?

 Taking some code from an example on the gridspec page ...

 import matplotlib.pylab as plt
 import matplotlib.gridspec as gridspec
 #gs = gridspec.GridSpec(3, 3) # OK
 gs = gridspec.GridSpec(6, 3) # Will cause an error later on
 ax1 = plt.subplot(gs[0, :])
 ax2 = plt.subplot(gs[1,:-1])
 ax3 = plt.subplot(gs[1:,-1])
 ax4 = plt.subplot(gs[-1,0])
 ax5 = plt.subplot(gs[-1,-2])
 plt.show()

 ... will fail if that line is uncommented, giving an index error.

 Works for me.
 Ubuntu 11.04 Natty, stock python 2.7.1 and matplotlib 1.0.1 from
 https://launchpad.net/~valavanisalex/+archive/matplotlib.

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Re: [Matplotlib-users] Possible bug / odd behaviour in GridSpec?

[Jae-Joon Lee]

On Thu, May 12, 2011 at 7:18 AM, David Andrews irbda...@gmail.com wrote:
 I'm quite interested in getting involved with mpl development, partly
 as a way to get my head around python  numpy and aid porting a bunch
 of stuff I use over to python from IDL.  Unless I'm doing something
 totally wrong by expecting the above snippet to work, then I'd happily
 spend some time looking into this in more detail, having written some
 similar code in IDL.  The docs for that module also look like they
 could benefit from some work.


Yes, the docs need lots of work I guess and any contribution will be
greatly appreciated.
If you're willing to improve the docs for gridspec, I'm more than
happy to help you (I am the main author of that module).
The best way to contribute is to use github pull request and
matplotlib is hosted here

 https://github.com/matplotlib/matplotlib

Regards,

-JJ

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Re: [Matplotlib-users] Feature request: automatic scaling of subplots, margins, etc

[Jae-Joon Lee]

On Fri, May 6, 2011 at 5:20 PM, Daniel Mader
danielstefanma...@googlemail.com wrote:
 From many postings here I have learned that
 this is the absolute intention, i.e. it is broken by design unless the
 programmer takes care about this.

I think there are pros and cons, and I don't think the current design
is simply broken.
For example, it will be very distracting if the axes area changes
while you're doing some interactive stuff (e.g., panning). Anyhow I
admit that the default layout may not be optimal for figures with
multiple subplots, and there is a room for improvement.

There are a few approach you can take.

 * If you're only interested in saved outputs, you may use savefig
with bbox_inches=tight. Note that this changes the size of figure.

 * Use Tony's script to adjust the subplot params automatically.

 * use axes_grid1 toolkit which enables you to change the axes
position on the fly. Check
http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg18743.html.
For current git master branch, check
examples/axes_grid/make_room_for_ylabel_using_axesgrid.py

Regards,

-JJ

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Re: [Matplotlib-users] How do I make the radius logarithmic with axisartist?

[Jae-Joon Lee]

The Axes class of the axisartist toolkit uses very different way to
handle ticks and tick labels. Thus most of the tick-related commands
of original matplotlib do not work!

Unfortunately, there is no easy way to support a logarithmic scale.

To utilize the full functionality, you need to create a transform
object and provide an appropriate tick locator. The first part is easy
but the second part is not. You can use origial mapltolib's tick
locator, but it has a limitation that minor ticks are not well
supported.

The easiest way is to convert your data to log scale and use a fixed
locator with a custom formatter. An example script is attached.

The better approach is to create your own locator and formatter.

Regards,

-JJ


On Fri, Apr 22, 2011 at 1:49 AM, Junghun Shin
jhs...@ef.eie.eng.osaka-u.ac.jp wrote:
 Hi, everyone.

 Let me explain what I wanted to do: First, I wanted to make a polar
 plot with angles from 0 to 90. I could do it by adopting the
 curvelinear grid demo ( http://goo.gl/kruXf ). And then I wanted to
 present the radius in log10 scale. But setting the plot command to
 semilogy or trying to set 'set_rscale('log')' all failed. Below I
 pasted the code that works for radius in linear scale.

 [Code]
 #!/usr/bin/env python
 import matplotlib.pyplot as plt
 import numpy as np

 #Modified from 
 http://matplotlib.sourceforge.net/plot_directive/mpl_toolkits/axes_grid/examples/demo_floating_axis.py

 #def curvelinear_test2(fig, lp_r, lp_t):
 def curvelinear_test2(fig, lp_t, lp_r, rLower, rUpper):
    rmin = np.min(lp_r)
    rmax = np.max(lp_r)
    print 'rm: ', rmin, 'rM: ', rmax,'rL: ', rLower, 'rU: ', rUpper
    
    polar projection, but in a rectangular box.
    
    global ax1
    import  mpl_toolkits.axisartist.angle_helper as angle_helper
    from matplotlib.projections import PolarAxes
    from matplotlib.transforms import Affine2D

    from mpl_toolkits.axisartist import SubplotHost, ParasiteAxesAuxTrans

    from mpl_toolkits.axisartist import GridHelperCurveLinear

    from  mpl_toolkits.axisartist.grid_helper_curvelinear import
 GridHelperCurveLinear


    # see demo_curvelinear_grid.py for details
    tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform()

    extreme_finder = angle_helper.ExtremeFinderCycle(20, 20,
                                                     lon_cycle = 360,
                                                     lat_cycle = None,
                                                     lon_minmax = (0, 360),
                                                     lat_minmax =
 (-np.inf, np.inf),
                                                     #lat_minmax =
 (rmin, np.inf),
                                                     )

    grid_locator1 = angle_helper.LocatorDMS(12)

    tick_formatter1 = angle_helper.FormatterDMS()

    grid_helper = GridHelperCurveLinear(tr,
                                        extreme_finder=extreme_finder,
                                        grid_locator1=grid_locator1,
                                        tick_formatter1=tick_formatter1
                                        )


    ax1 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper)

    fig.add_subplot(ax1)

    # make ticklabels of all axis visible.
    ax1.axis[:].major_ticklabels.set_visible(True)
    #ax1.axis[top].major_ticklabels.set_visible(True)
    #ax1.axis[left].major_ticklabels.set_visible(True)
    #ax1.axis[bottom].major_ticklabels.set_visible(True)

    # show angle (0) at right and top
    ax1.axis[right].get_helper().nth_coord_ticks=0
    ax1.axis[top].get_helper().nth_coord_ticks=0

    # show radius (1) at left and bottom
    ax1.axis[left].get_helper().nth_coord_ticks=1
    ax1.axis[bottom].get_helper().nth_coord_ticks=1

    # set labels
    ax1.axis[left].label.set_text(r'ylabel')
    ax1.axis[bottom].label.set_text(r'xlabel')
    ax1.axis[bottom].major_ticklabels.set_rotation(-30)

    ax1.set_aspect(1.)
    ax1.set_xlim(rLower, rUpper)
    ax1.set_ylim(rLower, rUpper)
    #ax1.rscale('log')

    # A parasite axes with given transform
    ax2 = ParasiteAxesAuxTrans(ax1, tr, equal)
    # note that ax2.transData == tr + ax1.transData
    # Anthing you draw in ax2 will match the ticks and grids of ax1.
    ax1.parasites.append(ax2)

    ax2.plot(lp_t, lp_r, 'o-')
    #ax2.semilogy(lp_t, lp_r, 'o-')
    #ax2.set_rscale('log')
    #ax1.set_xscale('log')
    #ax1.set_yscale('log')

    ax1.grid(True)

 if __name__ == __main__:

   fig = plt.figure(1, figsize=(5, 5))
   fig.clf()

   rmin = 1e-1
   rmax = 1e2
   lp_t = np.linspace(0., 90., 5)
   lp_r = np.linspace(rmin, rmax/10, 5)*5

   print lp_t: , lp_t
   print lp_r: , lp_r
   print log10(lp_r): , np.log10(lp_r)

   curvelinear_test2(fig, lp_t, lp_r, rmin, rmax)
   #curvelinear_test2(fig, lp_t, np.log10(lp_r), np.log10(rmin), np.log(rmax))

   plt.show()

 [/Code]

 I'm using Enthought Python Distribution Version: 7.0-2 (32-bit) Python
 2.7.1 on win32
 and 

Re: [Matplotlib-users] how to scale colorbar size to image size?

[Jae-Joon Lee]

On Tue, Apr 12, 2011 at 3:31 AM, Jonathan Slavin
jsla...@cfa.harvard.edu wrote:
 (Shouldn't the default behavior
 be to scale to height if the colorbar is vertical and width if its
 horizontal?)

Because of the design of the matplotlib, this is not straight forward
to implement.

While there could be a few ways to do it, you may try axes_grid1 toolkit.

http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#colorbar-whose-height-or-width-in-sync-with-the-master-axes

Regards,

-JJ

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Re: [Matplotlib-users] Different xtick pads for subplots within figure

[Jae-Joon Lee]

This seems to be a bug in matplotlib.
I just opened a bug track for it.

https://github.com/matplotlib/matplotlib/issues/88

As a workaround, try

ax3.tick_params(pad=20)

Regards,

-JJ


On Tue, Mar 15, 2011 at 10:43 AM, NotBrianCox samwisehawk...@gmail.com wrote:

 I'm plotting a series of sub plots within a figure, where most are small sub
 plots, but the last one spans the width of the figure. For the final subplot
 only, I want to set the xtick pad to 20. Something like:


 import matplotlib.pyplot as plt

 fig = plt.figure()
 ax1 = fig.add_subplot(2,2,1)
 ax2 = fig.add_subplot(2,2,2)
 ax3 = fig.add_subplot(2,1,3)


 plt.setp(ax3.xaxis.get_major_ticks(), pad=20)
 plt.show()

 But this doesn't have any effect on the final plot.  I've also tried getting
 the ticks individually and calling set_pad(20) i.e.:

 for tick in ax3.xaxis.get_major_ticks():
    tick.set_pad(20)

 But this does't work either. Anyone have an ideas?


 --
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 http://old.nabble.com/Different-xtick-pads-for-subplots-within-figure-tp31150430p31150430.html
 Sent from the matplotlib - users mailing list archive at Nabble.com.


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