from:"C M"

Sorry, this is super-simple, but I'm lost in the whole
locator/formatter part of the docs.

How can I make a locator that just places a tick at every multiple of
0.5 around the data?  So the y axis would look like:

3.5 --
3.0 --
2.5 --
2.0 --
1.5 --
1.0 --

etc.

Thanks,
Che

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Re: [Matplotlib-users] simple question about locator every 0.5

On Wed, Jul 20, 2011 at 7:24 PM, Buchholz, Greg
gbuchh...@infiniacorp.com wrote:
-Original Message-
From: C M [mailto:cmpyt...@gmail.com]

Sorry, this is super-simple, but I'm lost in the whole
locator/formatter part of the docs.

How can I make a locator that just places a tick at every multiple of
0.5 around the data?  So the y axis would look like:

3.5 --
3.0 --
2.5 --
2.0 --
1.5 --
1.0 --

 Do you want something like:

    ylim(1.0,3.5)
    yticks(arrange(1.0,4.0,0.5))

I'm not sure, because I can't try it out--I'm using the OO matplotlib,
not Pyplot.  What's the equivalent of this in the OO API?

Thanks,
Che

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Re: [Matplotlib-users] simple question about locator every 0.5

On Wed, Jul 20, 2011 at 7:56 PM, Gökhan Sever gokhanse...@gmail.com wrote:


 On Wed, Jul 20, 2011 at 5:41 PM, C M cmpyt...@gmail.com wrote:

 On Wed, Jul 20, 2011 at 7:24 PM, Buchholz, Greg
 gbuchh...@infiniacorp.com wrote:
 -Original Message-
 From: C M [mailto:cmpyt...@gmail.com]
 
 Sorry, this is super-simple, but I'm lost in the whole
 locator/formatter part of the docs.
 
 How can I make a locator that just places a tick at every multiple of
 0.5 around the data?  So the y axis would look like:
 
 3.5 --
 3.0 --
 2.5 --
 2.0 --
 1.5 --
 1.0 --
 
  Do you want something like:
 
     ylim(1.0,3.5)
     yticks(arrange(1.0,4.0,0.5))

 I'm not sure, because I can't try it out--I'm using the OO matplotlib,
 not Pyplot.  What's the equivalent of this in the OO API?


     ax.axis((xmin, xmax, ymin, ymax))
     ax.yaxis.set_ticks(np.arange(1.0, 4.0, 0.5))

Thanks.

But in order to use this, I have to know ymin and ymax, based on the
data. But I thought this was the point of the locators--that they
could assign the ticks based on the range of the data and then some
rule about placement of ticks in that range.  But when I look at the
various kinds of locators in the docs, none have a parameter that is
equivalent to the 0.5 above in set_ticks.

Or do they and I just missed it?

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[Matplotlib-users] help with code for DurationFormatter

A runnable code sample is attached.

I'm trying to plot durations in time (sec to hours) on the y axis such
that if you zoom, it changes the units and axis label appropriately.

When run, it looks right.  But, when I zoom on the first point, it is
shown on the y axis at '0.20' minutes.  I would like it to say '12
seconds'.  I would think the FuncFormatter I am trying to use should
be able to do that, but I cannot figure it out.  For now, those
attempts are commented out in the code.

How can I create a formatter such that zooming changes the tick and
axis labels in this way?

Any help is appreciated.  Thanks,

Che


duration_plot.py
Description: Binary data
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Re: [Matplotlib-users] simple question about locator every 0.5

 Try MultipleLocator:

 from matplotlib.ticker import MultipleLocator
 halflocator = MultipleLocator(base=0.5)
 ax.xaxis.set_major_locator(halflocator)

 etc.

Thanks, that works for me.  I didn't think I could use non-integers
(0.5) because the docs said, Set a tick on every integer that is
multiple of base in the view interval.  Earlier in that page, though,
it does say base can be an integer or float.

Che

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Re: [Matplotlib-users] plot duration given format of '3:04:02.994000'

2011-07-18 Thread C M

On Mon, Jul 18, 2011 at 10:58 AM, Daniel Mader
danielstefanma...@googlemail.com wrote:
 Hi,

 why don't you just parse the returned string?

 asdf = '3:04:02.994000'
 asdf = asdf.split(':')
 temp = asdf[-1].split('.')
 print asdf
 asdf.pop(-1)
 print asdf
 asdf.extend(temp)
 print asdf
 asdf = [int(i) for i in asdf]
 print asdf
 hrs,mins,secs,usecs = asdf

 That should work, and you can always transform this into some common
 unit, e.g. seconds etc.

Thanks.  The issue, though is that I don't want to display a graph
with seconds, but with whatever units is most suitable, since my data
is going to range from seconds to hours.  If most datapoints are
hours, I don't want things expressed in terms of 5000 seconds.

I thought there might be a way to use a DateLocator or DateFormatter
with this kind of data so that it could pick the most suitable units
based on a standardized time duration string.

So do people think I have to create my own custom locator or formatter
to do this?

Thanks,
Che

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[Matplotlib-users] plot duration given format of '3:04:02.994000'

2011-07-16 Thread C M

This a time duration in my database:  '3:04:02.994000' (i.e., 3 hrs, 4
min, 2 sec and 994 microsec).  It's a string.

Is there a way to allow Matplotlib to interpret that directly as a
duration of time?

Thank you.

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Re: [Matplotlib-users] formatter for durations of varying units

2011-07-12 Thread C M

On Tue, Jul 12, 2011 at 3:15 AM, Maximilian Trescher
fau...@trescher-it.de wrote:
 Hi,

 I want to pick a good (dynamic, for zooming) way to format the y axis.
 There are two issues:
 Does (1) seem like the right approach?  And for 2, is there already a
 formatter that is appropriate for this or could be adapted to it?

 did you try the AutoDateLocator (from matplotlib.dates)?

I hadn't.  I am trying now but am stuck on:  How can I plot the data
given that, from the database, each datapoint is of the form
''0:00:02.994000'?  Is there a way to tell matplotlib to read that as
a time duration?

Thanks,
Che

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[Matplotlib-users] formatter for durations of varying units

2011-07-11 Thread C M

I need to make a dates (on x) vs. durations of time (on y) plots and
need to have smart formatting for the y axis. My y data is in the
database in the format: '0:00:02.994000', (that is, 2.9 seconds) and
I'd like the y axis to be expressed in ticks of, e.g., 2 hrs, or 10
minutes, or 25 seconds, whichever is applicable...see below.

The data could range from as little as a few seconds to more than 12
hours.  Sometimes there will be outliers that are in a different unit.
E.g., there may be a plot in which most durations are 1-3 hrs, but now
and then there is a datapoint of 5 minutes, or even 30 seconds. Or it
could be another one with mostly datapoints in minutes, but an
occasional long or short one in hours or seconds.

I want to pick a good (dynamic, for zooming) way to format the y axis.
There are two issues:

1) Should I analyze the data to see what units the majority of
datapoints are in and then use that as the y axis units before
zooming? That is, if most are durations of minutes, then the y axis
should be given in minutes. If most are in hours, the y axis should be
hours, etc... This way the formatting is appropriate for the majority
of the data displayed.

2) If a plot's y units are given in terms of minutes (because of point
#1), but a user wants to zoom in on a datapoint that is only a few
seconds, I'd like the formatter to change the y scaling to be in terms
of seconds. I don't want to have express durations on the y axis as
anything like 0.0335 minutes, but rather 2 seconds.

Does (1) seem like the right approach?  And for 2, is there already a
formatter that is appropriate for this or could be adapted to it?

Suggestions welcome.  Thanks,
Che

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Re: [Matplotlib-users] mpl newbie question...

2011-05-30 Thread C M

I do not know the first thing about Python language.But things are not
 going well


That's not a but but an of course.  How could they possibly go well
already?
It takes time to learn something.  You will get there, bit by bit.


 and I do not want to use any other
 programs such as GNUplot or other such open source programs which run on
 my linux machine and I am not purchasing any anything developed by
 Micro$oft.


I'm curious.  Why not?


 I have come to a road block and need guidance regarding what materials
 (e.g. books) I should purchase to help teach myself python/mathplolib or
 how I should move forward to become proficient use mpl?


For Python, there are tons of online tutorials such as Alan Gauld's as well
as any
number of books (Google for recommendations or search the Python Google
Group
for very many iterations of asking for recommendations).

For specific questions, the Python tutor list is great, and now Stack
Overflow is also
very good. For specific Matplotlib questions beyond the tutorial or
examples, either
SO or this list is excellent. There is now a matplotlib book by Sandro Tosi,
too.


 I know little or nothing now so any newbie advice is much appreciated.


I recommend that you write down a set of goals for what you want to
accomplish,
and then tackle them one by one.
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Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-13 Thread C M

On Fri, May 13, 2011 at 6:23 AM, Pauli Virtanen p...@iki.fi wrote:
 Thu, 12 May 2011 15:16:43 -0400, C M wrote:
 [clip: installing Python modules]
 Is there a step-by-step method on the
 website that shows how to do this?

 Here: http://docs.python.org/install/index.html

Thanks, but I guess I can't install matplotlib since I can't build it,
since I don't have VS2003.

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Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-13 Thread C M

On Wed, May 11, 2011 at 12:29 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 I think I fixed a similar bug at some point but I'm not sure if that
 is related with this.
 Are you using the *make_axes_area_auto_adjustable* from the current
 git master (check
 examples/axes_grid/make_room_for_ylabel_using_axesgrid.py)? If not can
 you try that? Also please post your code.

It seems I can't build matplotlib from source. Would it be possible to
attach the amended files to this list and I'll try them?

Thank you,
Che

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Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-12 Thread C M

On Thu, May 12, 2011 at 1:26 PM, Michael Droettboom md...@stsci.edu wrote:
 You can always get a tarball of the current git master by going here:

 https://github.com/matplotlib/matplotlib

 clicking on Download and choosing one of the download source options
 at the top of the popup box.

 Mike

Thanks, but I'm having trouble using that.  I downloaded the .zip
file, unzipped the archive, moved the folder to
C:\Python25\Lib\site-packages, renamed my current matplotlib folder to
matplotlib_OLD, ran these commands from the new directory:

python setup.py build
python setup.py install

And finally renamed the new folder to just matplotlib.  It is not
finding the modules when I go to run it.  If revert the names of the
folders, my old folder still works.  What am I doing wrong?

Thanks,
Che

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Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-12 Thread C M

On Thu, May 12, 2011 at 2:50 PM, Michael Droettboom md...@stsci.edu wrote:
 On 05/12/2011 02:34 PM, C M wrote:

 On Thu, May 12, 2011 at 1:26 PM, Michael Droettboommd...@stsci.edu
  wrote:


 You can always get a tarball of the current git master by going here:

 https://github.com/matplotlib/matplotlib

 clicking on Download and choosing one of the download source options
 at the top of the popup box.

 Mike


 Thanks, but I'm having trouble using that.  I downloaded the .zip
 file, unzipped the archive, moved the folder to
 C:\Python25\Lib\site-packages, renamed my current matplotlib folder to
 matplotlib_OLD, ran these commands from the new directory:

 python setup.py build
 python setup.py install

 And finally renamed the new folder to just matplotlib.  It is not
 finding the modules when I go to run it.  If revert the names of the
 folders, my old folder still works.  What am I doing wrong?


 You should not expand the directory tree under site-packages -- python
 setup.py install is what does that for you.  You should expand it anywhere
 else (most people create a src directory somewhere on their machine for
 source code).  Then run those commands.

I unzipped it in a download directory, changed the directory to that
folder, and ran the commands again...and it did not put a matplotlib
folder under site-packages.  Is there a step-by-step method on the
website that shows how to do this?

But all I really want is the changes that Jae Joon made as mentioned
above.  Is there a way to just grab them from the new folders?  (I
thought not because the folder structure from what I downloaded from
git master doesn't match the folder structure I had from mpl 1.0,
downloaded from the main mpl page).

Thanks,
Che

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Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-11 Thread C M

On Wed, May 11, 2011 at 11:07 AM, C M cmpyt...@gmail.com wrote:
 On Wed, May 11, 2011 at 12:29 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 I think I fixed a similar bug at some point but I'm not sure if that
 is related with this.
 Are you using the *make_axes_area_auto_adjustable* from the current
 git master (check
 examples/axes_grid/make_room_for_ylabel_using_axesgrid.py)? If not can
 you try that? Also please post your code.


I have not set up with git since Matplotlib made the change from svn.
I just downloaded git to get started but don't know how to use it yet;
for now is there a way to just check out the files I need to test
this, or is there some other (non-git) way to get this update?

Thanks,
Che

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Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-09 Thread C M

On Thu, Sep 30, 2010 at 7:55 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 On Thu, Sep 23, 2010 at 10:31 AM, C M cmpyt...@gmail.com wrote:
 Until a more permanent solution is figured out, can anyone recommend
 any workarounds, even if they are a little clunky?  I'm embedding mpl
 plots in wxPython and am also finding this issue suboptimal.

 Che


 A (partial) workaround is possible using the axes_grid1 toolkit (i.e.,
 you need matplotlib 1.0).
 Attached is a module I just cooked up (based on my previous attempt @
 http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg18129.html),
 and it seems to work quite well.
 The usage is simple.


        ax = plt.axes([0,0,1,1])

        ax.set_yticks([0.5])
        ax.set_yticklabels([very long label])

        make_axes_area_auto_adjustable(ax) # This is where axes_grid1 comes in

 Then, the axes area(including ticklabels and axis label) will be
 automatically adjusted to fit in the given extent ([0, 0, 1, 1] in the
 above case).

 While this is mainly for a single axes plot, you may use it with
 multi-axes plot (but somewhat trickier to use). A few examples are
 included in the module.


Although this has been a big improvement, there is a lingering issue
that I want to get around to cleaning up now.

When I use this workaround that Jae Joon provided, it works just fine
except that if I call canvas.draw() (because I am adding a star to a
particular marker when point picking), it causes the whole canvas to
jump a little bit.

What happens is that on the first call to .draw() the plot area
increases vertically a tiny amount and the title moves up slightly.
On subsequent calls, the plot surface doesn't increase vertically but
the title text moves slightly up and then down quickly.  This happens
each time I point pick for the first 5 or so times, and then it stops
doing it.  I don't even have to add any new points to the plot, just
call canvas.draw() and it will do this.

It is visually distracting and a look and feel demerit for the app for sure.

I've tried to make a sample that is not embedded in wxPython but so
far I can't reproduce the problem.

Jae Joon or anyone, any ideas about why this is occurring and how to
prevent it?  If need be I will try to work up a sample that
demonstrates it, but so far I've failed in that.

Thanks,
Che

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Re: [Matplotlib-users] UserWarning: Attempting to set identical bottom==top

2011-05-06 Thread C M

On Fri, May 6, 2011 at 10:33 AM, Benjamin Root ben.r...@ou.edu wrote:
 On Thu, May 5, 2011 at 10:01 PM, C M cmpyt...@gmail.com wrote:

  Because you have a py2exe'ed program, I suspect that whoever packaged
  the
  program should be the one to modify that program to choose its axes
  limits
  more robustly in order to avoid the warning message.

 Maybe I have been unclear.  I am the sole developer of this
 application, and I occasionally test it as a py2exe'd app in
 anticipation of delivering it in that form at some point.  I would be
 happy to modify the program to choose its axes limits more
 robustly--if I only knew how to do that.  That is what I am asking.
 How should I do that?

 The data to be plotted is a very simple date plot with dates on the x
 axis and values (formatted as time) on the y axis.

 Che

 Most likely, somewhere in your code, you have a call to set_ylim(), and are
 likely setting it to the minimum and maximum values of the data you are
 plotting.  This is where the problem comes in.  There are several options to
 go about avoiding the problem here.  One is to not call set_ylim() at all if
 you have only one data point, and just let matplotlib figure out the
 y-limits automatically.  Another approach is to call set_ylim() with
 parameters that have an explicit amount of padding, like the following:

 ax.set_ylim(y.min() - 0.5, y.max() + 0.5)

 This way, you are guaranteed that the top and bottom limits will never be
 the same.  The best approach is up to you.

 I hope that helps!
 Ben Root

Thank you, Ben!  That helps a lot.  Adding some padding myself seems
to fix it.  And it's good to understand what was occurring.

-Che

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Re: [Matplotlib-users] UserWarning: Attempting to set identical bottom==top

2011-05-05 Thread C M

On Thu, May 5, 2011 at 10:03 PM, C M cmpyt...@gmail.com wrote:
 On Thu, May 5, 2011 at 7:58 PM, Benjamin Root ben.r...@ou.edu wrote:


 On Sun, May 1, 2011 at 4:35 PM, C M cmpyt...@gmail.com wrote:

 I get this error and would like to know what to do to eliminate it and
 also what it means:

 C:\Python25\lib\site-packages\matplotlib\axes.py:2571:
 UserWarning: Attempting to set identical bottom==top results
 in singular transformations; automatically expanding.
 bottom=0, top=0 + 'bottom=%s, top=%s') % (bottom, top))

 This is with Matplotlib 1.0.0.

 Thank you,
 Che


 I have seen this happen when the plot is set to use the limits of the data
 to guide the axes limits, but the data being displayed is either vertical or
 horizontal.

What do you mean by the data being vertical or horizontal?  I can get
this error with a single point that is plotted on a time vs. values
plot.

  It isn't a huge issue as the code is automatically padding the
 axes to make take the plot out of flat world.

The problem is, when I use a py2exe'd app this error occurs and the
user sees a message to see the log file for the error. I don't want
that at all.  It's a bad user experience.

Is there a way I can prevent this error from ever being generated?

Thanks.

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Re: [Matplotlib-users] UserWarning: Attempting to set identical bottom==top

2011-05-05 Thread C M

 Because you have a py2exe'ed program, I suspect that whoever packaged the
 program should be the one to modify that program to choose its axes limits
 more robustly in order to avoid the warning message.

Maybe I have been unclear.  I am the sole developer of this
application, and I occasionally test it as a py2exe'd app in
anticipation of delivering it in that form at some point.  I would be
happy to modify the program to choose its axes limits more
robustly--if I only knew how to do that.  That is what I am asking.
How should I do that?

The data to be plotted is a very simple date plot with dates on the x
axis and values (formatted as time) on the y axis.

Che

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[Matplotlib-users] get bboxes of bars in data coordinates

2011-03-28 Thread C M

I need to get the bboxes for time-range bars (matplotlib.patches.Rectangle
objects) on a bar plot for a custom autoscaling function.

Right now, I get them like this, where rectObj = a bar and bboxes = a list
of bboxes:

bboxes.append(rectObj.get_path().get_extents())
print 'bboxes is: ', bboxes

However, the print shows bboxes to be:

bboxes is:  [Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]])), Bbox(array([[ 0.,  0.],
   [ 1.,  1.]]))]

This is not what I need, because these points have nothing to do with the y
axis I'm scaling (in fact, what do they mean?).  Instead, I need bboxes that
look more like this:

bboxes is:  [Bbox(array([[ 734190.02541214,  730844.2917],
   [ 734223.88252666,  730844.375 ]]))]

(Although this is from getting the bboxes from a line, not a set of bars)
These are in the floating point version of a date, which is what the y axis
is scaled in.  How can I get the bboxes of these bars in those coordinates?

Thanks,
Che
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Re: [Matplotlib-users] get bboxes of bars in data coordinates

2011-03-28 Thread C M

I should add, I can see that (I think) this needs to use a transform to get
it in data coordinates, because if I do this to each rectObj (each bar):

trans = rectObj.get_patch_transform()
print 'trans is: ', trans

I get:

trans is:  BboxTransformTo(Bbox(array([[ 734189.52541214,  730844.],
   [ 734190.52541214,  730844.]])))

Which shows the data-coordinate bboxes in there, but that's now a
BboxTransformTo object, not a Bbox object.

I'm just don't know what method turns a display-coordinate bbox into a
data-coordinate bbox.

Thanks,
Che
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Re: [Matplotlib-users] get bboxes of bars in data coordinates

2011-03-28 Thread C M

On Mon, Mar 28, 2011 at 1:44 PM, C M cmpyt...@gmail.com wrote:

 I need to get the bboxes for time-range bars (matplotlib.patches.Rectangle
 objects) on a bar plot for a custom autoscaling function.

 Right now, I get them like this, where rectObj = a bar and bboxes = a list
 of bboxes:

 bboxes.append(rectObj.get_path().get_extents())
 print 'bboxes is: ', bboxes


OK, I have it... Because I was using the above to get the bbox for a Line2D
object, I didn't realize there was already a method to get the bbox (in data
coordinates) from a Rectangle:

rectObj.get_bbox()

-Che
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[Matplotlib-users] exclude lines from a loose_autoscale_view function

2011-03-23 Thread C M

I'm not sure if this is going to work to solve an issue I'm having, but I'd
like to try it before asking a much more complex question.  I have a
function, loose_autoscale_view(), that is based on the autoscale_view
function in mpl but allows margin arguments to push the margins out a bit
more.

I'd like to try to alter it to allow certain lines belonging to an axis to
not be taken into consideration when autoscaling.  I can alter it to accept
a list of lines to be excluded, but then I don't know how to exclude them
when calculating the autoscaling.  I think the key line in the function is
this one:

bb = mtransforms.BboxBase.union(dl)

because that union gets the sub-BBoxes for all the lines...so is there a way
to exclude some?  Or is there a better approach?

Thanks.  The function is below.

-Che


def loose_autoscale_view(self, subplot, xmargin, ymargin, tight=False,
scalex=True, scaley=True):

autoscale the view limits using the data limits. You can
selectively autoscale only a single axis, eg, the xaxis by
setting *scaley* to *False*.  The autoscaling preserves any
axis direction reversal that has already been done.

I have added a way to make it not quite so tight using xmargin and
ymargin.


# if image data only just use the datalim
#if not self.subplot._autoscaleon: return
if scalex:
xshared = subplot._shared_x_axes.get_siblings(subplot)
dl = [ax.dataLim for ax in xshared]
bb = mtransforms.BboxBase.union(dl)
xdiff = bb.intervalx[1] - bb.intervalx[0]
x0 = bb.intervalx[0]-xdiff * xmargin
x1 = bb.intervalx[1]+xdiff * xmargin
if scaley:
yshared = subplot._shared_y_axes.get_siblings(subplot)
dl = [ax.dataLim for ax in yshared]
bb = mtransforms.BboxBase.union(dl)
y0_untampered = bb.intervaly[0]-(bb.intervaly[1])
y0 = bb.intervaly[0]-(bb.intervaly[1]* ymargin)

y1_untampered = bb.intervaly[1]
y1 = bb.intervaly[1]* (1+ymargin)

if (tight or (len(subplot.images)0 and
  len(subplot.lines)==0 and
  len(subplot.patches)==0)):
if scalex:
subplot.set_xbound(x0, x1)
if scaley:
subplot.set_ybound(y0, y1)
return
if scalex:
XL = subplot.xaxis.get_major_locator().view_limits(x0, x1)
subplot.set_xbound(XL)
if scaley:
YL = subplot.yaxis.get_major_locator().view_limits(y0, y1)
subplot.set_ybound(YL)
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Re: [Matplotlib-users] onpick on a 2 y plot ( via twinx() ) seems to only allow picking of second axes's artists

2011-02-11 Thread C M

On Thu, Jan 20, 2011 at 4:44 AM, Stephan Markus zw...@web.de wrote:

Hello!

I am also using two axes in a plot and want to be able to pick the lines of
both axes.
So far I used MPL 0.99.3 and a button on my interface to change the z-order
of the axes in order to be able to pick lines of the active axes and to
see the correct x/y data in the navigation toolbar. The callback code of my
button is basically the code from othererik.

Since MPL 1.0.0 I have the problem that lines of the second axes simply
disappear from the plot whenever the plot is redrawn and it's zorder is
higher.

This thread, in which I asked a similar question and receive a
workable solution from JJ, might be helpful. I am now just
automatically moving all my lines over to the highest z-order axis so
that whatever is visible is pickable. (But see below for a gotcha)

http://old.nabble.com/unable-to-point-pick-2nd-axis-after-upgrade-to-mpl-1.0-td30400311.html

On this note, to the developers: This need to take into account the
z-order for picking lines has made my development more difficult. I
have had a week's delay due to a difficult-to-understand bug in my
code in which I prematurely moved the line over to the highest z-order
axis, and then tried to format the axis with a custom
formatter--causing an error. Simply moving the line only after all
formatting is done fixed the bug, but that wasn't obvious for a while.
The need to track which lines are on which z-order and to move them
only after all formatting/locating has been done on them strikes me as
a new gotcha that the simpler and more intuitive approach of if you
can see it, you can pick it didn't have. (I have a somewhat complex
case, though, in which there are three possible sorts of axes that
could wind up on either the right or left sides).

It also seems counter-intuitive that a line can belong to an axis
from the in Matplotlib and yet for the user it clearly is measured
using the other axis. Could z-order mattering be toggled? Anyway,
my 2 cents.

Thanks,
Che

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Re: [Matplotlib-users] too many values to unpack with a bar chart

2011-01-27 Thread C M

Hi Paul,

 The reason you were getting that error is because unless you
 specify otherwise, ax.bar will make the bottom of the bars at 0 -
 which isn't an allowed date, hence the error. Change your bar
 line to this (I also added align='center', but you can remove it
 if you want):

Aha, OK that makes sense.  Thank you.  I think the point #3 in my
previous email about the Ordinal must be = 1 has all been about
what is or isn't allowed as a proper date.

So your example worked of course, but I am still not able to get my
real code to plot a bar chart.  If I tell you what the format of the
data is, maybe you can help me.

I would like to plot dates (on x axis) versus time intervals (on y).
I have a list of dates and I have a two lists (self.data[0] and
self.data[1]), one of the start times (bots) and one of the stop
times (tops).  But when I go to plot it, and do this (based on your
code...for now leaving out the round() step):

 bots = self.data[0]
 tops = self.data[1]

bars = self.subplot.bar(self.final_dates, top-bot, bottom=bot, align='center')

I get the error:

TypeError: unsupported operand type(s) for -: 'list' and 'list'

Because I am trying to subtract the bots list from the tops list.
In the example code I gave, bot and times were not lists but were a
'numpy.ndarray' and a numpy.float64' object, respectfully, and I guess
the - operand can be used on them.

How can I structure my data such that this can work?  (For some reason
I have not had nearly this much confusion with plotting lines, just
bars).

Thanks for all the help,
Che (CM)

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Re: [Matplotlib-users] too many values to unpack with a bar chart

2011-01-27 Thread C M

 just make a numpy array out of your two lists, and you'll be able
 to subtract one from the other.

 import numpy as np
 top = np.array(top)
 bot = np.array(bot)

Thank you, Paul.  That worked and I'm now able to display bar charts.
I appreciate it.

Best,
Che

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[Matplotlib-users] too many values to unpack with a bar chart

I usually do this for line graphs with markers:

line, = self.subplot.plot_date(dates,data)

along with some keywords to tweak the plot.  I then add line to a
dictionary to keep track of it:

self.line_to_data_dict[line] = self.activity

But today I tried this with a bar chart, just changing plot_date to
bar and renaming the line, to bars,:

fake_data = [2,2,5]
bars, = self.subplot.bar(fake_data, fake_data )

This gave me the error:  ValueError:  too many values to unpack.

OK, so if I removed the comma from bars, so it is just bars, it
goes through but then I cannot add it to my dictionary--I get:

 TypeError: list objects are unhashable

Help in understanding this and a better approach would be helpful.  Thanks,
Che

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Re: [Matplotlib-users] too many values to unpack with a bar chart

 Just a thought, are you trying out the new legend code?

I don't know if I am or not.  But these problems are prior to any code
regarding the legend.

 Could you do a print of the type for bars?

When I write it as just bars without the comma it is:

bars type = type 'list'

If I write it with the comma ( bars,) then it won't even run because
of the ValueError.

I know the 2nd problem is that a dictionary cannot have a mutable
object like a list as a key.  But previously, as I said, I was able to
call line, (with the comma) and it would work.  In fact, line, with a
comma gives this type:

line type =  class 'matplotlib.lines.Line2D'

Thanks,
Che

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Re: [Matplotlib-users] too many values to unpack with a bar chart

On Wed, Jan 26, 2011 at 9:16 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:
 On Thu, Jan 27, 2011 at 10:07 AM, C M cmpyt...@gmail.com wrote:
 I know the 2nd problem is that a dictionary cannot have a mutable
 object like a list as a key.  But previously, as I said, I was able to
 call line, (with the comma) and it would work.  In fact, line, with a
 comma gives this type:


 If you just want a hashable object, can you just cast it to a tuple?


  bars = self.subplot.bar(fake_data, fake_data )
  bars_tuple = tuple(bars)

 bars_tuple can be used as a dictionary key.

Yes, that can work, thanks, but I am still stuck without a bar chart
for other reasons (see point #3 below), and I am still confused.  I
have some questions that if answered can hopefully help me get
clearer:

1) What does the comma do exactly?  If I put this: line, I create a
matplotlib line object, whereas if I put just line I create a list.
  Does this mean that plot() in mpl returns a tuple that contains one
element, which is a mpl line object?  (If so, why doesn't it just
return the line object itself?)

2) Why does line, followed by plot() return a mpl line object but
bars, followed by bar() not return some kind of matplotlib object
(like a line)?  Why does it instead give the ValueError:  Too many
values to unpack error?

3) I am getting just hammered with the following error *a lot* in date
plotting lately:

ValueError: ordinal must be = 1

And I can't figure out what sorts of mistakes or situations are
triggering it.  More of the traceback above that error is at the end
of this message.  Does someone know when this error will be thrown
when using dates so I can at least know what to check for in my data?

Thanks,
Che

-- more of Traceback:

for ylabel_i in self.subplot.get_yticklabels():
  File C:\Python25\lib\site-packages\matplotlib\axes.py, line 2646,
in get_yticklabels
self.yaxis.get_ticklabels(minor=minor))
  File C:\Python25\lib\site-packages\matplotlib\axis.py, line 1087,
in get_ticklabels
return self.get_majorticklabels()
  File C:\Python25\lib\site-packages\matplotlib\axis.py, line 1071,
in get_majorticklabels
ticks = self.get_major_ticks()
  File C:\Python25\lib\site-packages\matplotlib\axis.py, line 1169,
in get_major_ticks
numticks = len(self.get_major_locator()())
  File C:\Python25\lib\site-packages\matplotlib\dates.py, line 743,
in __call__
self.refresh()
  File C:\Python25\lib\site-packages\matplotlib\dates.py, line 752, in refresh
dmin, dmax = self.viewlim_to_dt()
  File C:\Python25\lib\site-packages\matplotlib\dates.py, line 524,
in viewlim_to_dt
return num2date(vmin, self.tz), num2date(vmax, self.tz)
  File C:\Python25\lib\site-packages\matplotlib\dates.py, line 289,
in num2date
if not cbook.iterable(x): return _from_ordinalf(x, tz)
  File C:\Python25\lib\site-packages\matplotlib\dates.py, line 203,
in _from_ordinalf
dt = datetime.datetime.fromordinal(ix)
ValueError: ordinal must be = 1

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Re: [Matplotlib-users] too many values to unpack with a bar chart

 3) I am getting just hammered with the following error *a lot* in date
 plotting lately:

 ValueError: ordinal must be = 1


OK, I made up a small runnable sample to show this with bar().  (Using
code that someone else wrote[1]).  This code runs when using
plot_date(), but if you comment that out and comment in the ax.bar()
line, it will give this ValueError.


import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import datetime as dt

# Make a series of events 1 day apart
x = mpl.dates.drange(dt.datetime(2009,10,1),
 dt.datetime(2010,1,15),
 dt.timedelta(days=1))
# Vary the datetimes so that they occur at random times
# Remember, 1.0 is equivalent to 1 day in this case...
x += np.random.random(x.size)

# We can extract the time by using a modulo 1, and adding an arbitrary base date
times = x % 1 + int(x[0]) # (The int is so the y-axis starts at midnight...)

# I'm just plotting points here, but you could just as easily use a bar.
fig = plt.figure()
ax = fig.add_subplot(111)

#comment out:
ax.plot_date(x, times, 'ro')

#comment in
#ax.bar(x, times)

ax.yaxis_date()
fig.autofmt_xdate()

plt.show()


[1]http://stackoverflow.com/questions/4790265/plot-time-of-day-vs-date-in-matplotlib

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[Matplotlib-users] floating bar chart?

2011-01-24 Thread C M

I looked through the gallery, but didn't see this one and am not sure
how to create it.  It would be a floating bar chart (or floating
column chart), like what is seen here:

http://peltiertech.com/Excel/pix1/BloodSugarFloater.gif

Thanks,
Che

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Re: [Matplotlib-users] floating bar chart?

2011-01-24 Thread C M

On Mon, Jan 24, 2011 at 4:42 PM, Paul Ivanov pivanov...@gmail.com wrote:
 C M, on 2011-01-24 16:27,  wrote:
 I looked through the gallery, but didn't see this one and am not sure
 how to create it.  It would be a floating bar chart (or floating
 column chart), like what is seen here:

 http://peltiertech.com/Excel/pix1/BloodSugarFloater.gif

 Hi Che,

 just specify the 'bottom' keyword argument to bar. Note that the
 second parameter is height of the bar, *not* the top of the bar

 plt.bar([1,2,3,4], [2,2.5,5,3], bottom=[0,-1,1,2])

 best,
 --
 Paul Ivanov

Thanks, Paul!  Easy enough.

-Che

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Re: [Matplotlib-users] unable to point pick 2nd axis after upgrade to mpl 1.0

2010-12-14 Thread C M

 It will work if you explicitly set its transform.

star, = ax.plot([xdata[ind]], [ydata[ind]], '*',
 ms=40, mfc='y', mec='b',
 transform=thisline.get_transform())


JJ, thank you, this worked in my app as well.



   I also use the identity of the picked line in my code, since I provide
  additional information about that data series to the user based on which
  line (and point) they picked.  So if reparenting the line loses that
  information, that's going to be a problem.
 

 I believe that reparenting only changes the axes attribute of the
 line, so it might not be a problem.


Yes, it turns out it doesn't seem to cause any problem, which is great.


  When I was using matplotlib 0.98.5.2, I had the same code as I have now,
  with two different axes, and pick events were picked up on lines
 belonging
  to either of the axes.  Unless I'm misunderstanding, something has
 changed
  and this used to be possible.  Is that correct?

 Yes, I believe this used to be possible. While I'm not sure why it
 changed, I'm also not sure if we need to revert this change as I
 personally prefer the current simple behavior (although there could be
 a room for improvement). And I want to hear what others think. You may
 file a new feature request (or a bug if you want) issue regarding
 this.


I don't know if the other developers have weighed in on this in some other
forum or in personal communication, but as a user my vote is to keep the old
behavior.  I don't know how much of a simplicity benefit the developer team
gets, but as a user I doubt I would have been able to figure out your
suggestions based on Matplotlib documentation alone, unless maybe I am
missing something.  The previous way it worked strikes me as the
user-intuitive way; this new way requires you to move a line to an axis that
it doesn't match but then use its transform to decode what it really
should be (if I understand it about right).  And then one has to do that for
every line.  That seems complex from the user's perspective.  Now that it is
all in place it is no problem, but getting here was tough and un-doable
without help.  I guess I will file a feature request or bug report about it.

So thank you very much, JJ, for all your help on at least three key details
that massively improve the user experience of the app I am trying to put
together.

And thanks to John and the rest of the developers for Matplotlib!

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Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2010-12-14 Thread C M

On Thu, Sep 30, 2010 at 7:55 AM, Jae-Joon Lee lee.j.j...@gmail.com wrote:

 On Thu, Sep 23, 2010 at 10:31 AM, C M cmpyt...@gmail.com wrote:
  Until a more permanent solution is figured out, can anyone recommend
  any workarounds, even if they are a little clunky?  I'm embedding mpl
  plots in wxPython and am also finding this issue suboptimal.
 
  Che
 

 A (partial) workaround is possible using the axes_grid1 toolkit (i.e.,
 you need matplotlib 1.0).
 Attached is a module I just cooked up (based on my previous attempt @

 http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg18129.html
 ),
 and it seems to work quite well.
 The usage is simple.


ax = plt.axes([0,0,1,1])

ax.set_yticks([0.5])
ax.set_yticklabels([very long label])

make_axes_area_auto_adjustable(ax) # This is where axes_grid1 comes
 in

 Then, the axes area(including ticklabels and axis label) will be
 automatically adjusted to fit in the given extent ([0, 0, 1, 1] in the
 above case).

 While this is mainly for a single axes plot, you may use it with
 multi-axes plot (but somewhat trickier to use). A few examples are
 included in the module.

 Regards,

 -JJ


This thread is a few months old  now, but I just wanted to mention that I am
using JJ's workaround (thanks!) in my app--with either one or two y
axes--and it is just excellent.

This should definitely be at least an option for matplotlib users--the
quality of the appearance of the plots now is like night and day, because,
to me, seeing a plot without its axes labels (I'm talking about in a
resizable plot embedded in an application, not a static graph for inclusion
in a publication) is a *major* look and feel demerit.

Che
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Re: [Matplotlib-users] unable to point pick 2nd axis after upgrade to mpl 1.0

2010-12-09 Thread C M

 I have created a runnable sample app that demonstrates the problem


Here is a much simpler 10 line sample that doesn't require wxPython and
demonstrates the problem:  you can't pick the red line.  This seems like a
bug in mpl 1.0.

import matplotlib.pyplot as plt

fig = plt.figure()
ax = fig.add_subplot(111)
ax2 = ax.twinx()

line, = ax.plot([1,2,3], 'r-o', markersize=15, picker=5)
line2, = ax2.plot([4,2,12], 'b-o', markersize=15, picker=5)

def onpick(event):
print 'picked line: ', event.artist

fig.canvas.mpl_connect('pick_event', onpick)

plt.show()
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[Matplotlib-users] unable to point pick 2nd axis after upgrade to mpl 1.0

2010-12-07 Thread C M

Hello, list.

I have created a runnable sample app that demonstrates the problem
(mentioned also in another thread) in the subject line.  The sample is:

- mpl 1.0 embedded in wxPython using wxAgg backend.
- using plot() for simplicity, but see same issue if it is plot_date().  (I
do date plotting).
- using twinx to have a 2nd axis (in the problematic case).
- trying to have point picking on both axes.

You can demonstrate the problem by first running the app and clicking on one
red marker and then one blue marker.  The message dialog will, each time,
indicate the line/pos you picked, and it will work for both the red and blue
markers.

But then if you comment out line 52 and comment in line 56, thereby adding a
second axis, you will find you can *only pick the red markers* (which are on
the first axis).

This problem did not occur in my previous (0.98.5.2) version of matplotlib.


In addition, in my app, I also have a legend, and--only if I have a 2nd
axis--I cannot pick that, either.  (I kept it out of this sample to keep
things simpler).

Thank you for any help or suggestions to get this to work.

-Che


2nd_axis_picking_problem.py
Description: Binary data
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[Matplotlib-users] what is line._invalid in matplotlib 1.0?

2010-12-05 Thread C M

Hello.  I upgraded from about mpl 0.98.5 to 1.0, and this code, which worked
in 0.98.5:

if line._invalid:
line.recache()

now gives this error:

  AttributeError: 'Line2D' object has no attribute '_invalid'

What is now (1.0) the right way to test whether a Line2D object is invalid?

Thanks very much,
Che

(This question is in another recent post of mine, but this is much more to
the point)
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Re: [Matplotlib-users] what is line._invalid in matplotlib 1.0?

2010-12-05 Thread C M

On Sun, Dec 5, 2010 at 9:33 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:

 Here is a modified version of the code. Note that since it uses
 non-public APIs, it may stop to work again in the future. According to
 your original post, you seem to want to pick up points only. I guess
 the better way is to have a separate artists. One for points and the
 other for line segments.


JJ, Thank you very much.  This is good to know.  However, I had hoped that
getting this check of the line's validity would clear up the main problem
I've had since going to 1.0--but it did not, The problem is:

Prior to upgrade, I could get picking on a) the legend, and b) all points on
the graph, whether the graph had one y axis or two (using twinx).

Now, after upgrade, if I only have one y axis, I can get fine point picking
and legend picking, but if I have two y axes, I can't get legend picking and
can only get point picking on the points that belong to the left y axis, not
the right y axis.

I get no errors, but no (full) point picking, either.  I need to get this
cleared up and I'd love to stay with 1.0, but I don't know what the issue
might be.

Che
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[Matplotlib-users] upgrade to 1.0 help

2010-12-03 Thread C M

Hello.  I've decided to upgrade to matplotlib 1.0, but I'll need to fix a
few problems that have come up.  I was hoping I could get some help on this
here.

First thing is, I have a bit of point picker code that was written by JJ on
this list some time back that has been working well.  This is the start of
it:

def contains_points(self, line, mouseevent):
line.pickradius = 5

# Make sure we have data to plot
if line._invalid:
line.recache()
if len(line._xy)==0: return False,{}

But I am getting an error:

AttributeError: 'Line2D' object has no attribute '_invalid'

Can someone please tell me what the right method is now?  And how I can
learn about these sorts of changes on my own?

Thank you,
Che
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Re: [Matplotlib-users] upgrade to 1.0 help

2010-12-03 Thread C M

Hello.  I've decided to upgrade to matplotlib 1.0, but I'll need to fix a
 few problems that have come up.  I was hoping I could get some help on this
 here.


Second problem:  the grid background is gone despite these lines are not
throwing any errors (here, self.subplot is an axis):

self.subplot.grid(True)
self.subplot.grid(color='0.75', linestyle='dotted', linewidth=0.1)

I searched the docs for grid and so far haven't found the change.  What is
the right method now?

Thanks,
Che
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Re: [Matplotlib-users] upgrade to 1.0 help

2010-12-03 Thread C M

On Fri, Dec 3, 2010 at 8:10 PM, C M cmpyt...@gmail.com wrote:



 Hello.  I've decided to upgrade to matplotlib 1.0, but I'll need to fix a
 few problems that have come up.  I was hoping I could get some help on this
 here.


 Second problem:  the grid background is gone despite these lines are not
 throwing any errors (here, self.subplot is an axis):

 self.subplot.grid(True)
 self.subplot.grid(color='0.75', linestyle='dotted', linewidth=0.1)

 I searched the docs for grid and so far haven't found the change.  What is
 the right method now?


Ack, sorry for the noise.  That does work (and I don't need the first
line).  It is just that the lines are so fine/faint now that I couldn't see
them lines until I tilted the monitor and looked carefully.

I'm guessing the change was because previous to mpl 1.0 a linewidth of 0.1
was below some minimal value and was treated as though it were 1?  In any
case, using linewidth=1 looks reasonable for me now.

-cm
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Re: [Matplotlib-users] subclassing AutoDateFormatter correctly

2010-12-01 Thread C M

On Wed, Dec 1, 2010 at 12:28 AM, Ryan May rma...@gmail.com wrote:

 On Tue, Nov 30, 2010 at 7:00 PM, C M cmpyt...@gmail.com wrote:
  Thanks, Ryan.  I've done that now.  I use the OOP approach to matplotlib
 and
  embed it in wxPython, so my example uses that.  I did not know how to
 apply
  an AutoDateFormatter to an axis if using pylab and figured the basics of
  what I am trying to do are apparent from this sample.
 
  The sample is attached.  The point of it is that, despite it apparently
  using my AutoDateFormatter, all the dates at all levels of zoom are %Y
 (e.g.
  2010).  This is because in the AutoDateFormatter subclass, the line:
 
  scale = float( self._locator._get_unit() )
 
  is *always* returning 365.0.
 
  I am not bothering for now to include the business about how
 point-picking
  remedies my problem, because the AutoDateFormatter shouldn't need
  that--obviously, the way I am doing it is wrong, and I'd like to know
 what
  it is.

 I'm guessing your problem was that only the year was being shown,
 regardless? It would seem the problem stems from the fact that while
 you give your formatter the AutoDateLocator, you never tell the axis
 to use this. I got what I considered the correct behavior by adding
 the following line at linen 84 in the script:

   self.subplot.xaxis.set_major_locator(adl)

 Does adding that get you what you want?

 Ryan


Yes, that was it!  So simple, but I've been confused about how locators and
formatters work together--now it makes much more sense.  Thank you very
much.

Che
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Re: [Matplotlib-users] subclassing AutoDateFormatter correctly

2010-11-30 Thread C M

On Sun, Nov 28, 2010 at 8:52 PM, C M cmpyt...@gmail.com wrote:

 How can I correctly subclass AutoDateFormatter and use it in my code?

 What I am doing is copying the code from matplotlib's AutoDateFormatter and
 changing the strings for how the dates are represented and making that a
 class, MyAutoDateFormatter.  AutoDateFormatter expects a locator, and I
 think (?) the default is AutoDateLocator.  So in my code I am doing this:

 adl = AutoDateLocator()
 myformatter = MyAutoDateFormatter(adl)
 axis.xaxis.set_major_formatter(myformatter)

 But when I run it, no matter the level of zoom, it says 2010 (when it
 should change depending on zoom level).

 However, if I go into the matplotlib dates.py code itself and save the same
 changes to the date strings there, and I comment out the above code, then it
 works:  the date strings change depending on level of zoom.


I've also just noticed that if I use the above code after the lines have
been plotted, but then I click on one of the points (which causes a
point-picking routine that ultimately plots a highlighting marker over that
point), the x axis suddenly changes to use MyAutoDateFormatter's format
strings.  (If I call it before I plot anything, it doesn't help, though).

Is the act of plotting somehow refreshing things?  What can I call in
order to force this to happen without actually plotting any additional
points after my lines are plotted?

Thanks,
Che
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Re: [Matplotlib-users] subclassing AutoDateFormatter correctly

2010-11-30 Thread C M

On Tue, Nov 30, 2010 at 12:23 PM, Ryan May rma...@gmail.com wrote:

 On Tue, Nov 30, 2010 at 10:44 AM, C M cmpyt...@gmail.com wrote:
 
 
  On Sun, Nov 28, 2010 at 8:52 PM, C M cmpyt...@gmail.com wrote:
 
  How can I correctly subclass AutoDateFormatter and use it in my code?
 
  What I am doing is copying the code from matplotlib's AutoDateFormatter
  and changing the strings for how the dates are represented and making
 that a
  class, MyAutoDateFormatter.  AutoDateFormatter expects a locator, and I
  think (?) the default is AutoDateLocator.  So in my code I am doing
 this:
 
  adl = AutoDateLocator()
  myformatter = MyAutoDateFormatter(adl)
  axis.xaxis.set_major_formatter(myformatter)
 
  But when I run it, no matter the level of zoom, it says 2010 (when it
  should change depending on zoom level).
 
  However, if I go into the matplotlib dates.py code itself and save the
  same changes to the date strings there, and I comment out the above
 code,
  then it works:  the date strings change depending on level of zoom.
 
  I've also just noticed that if I use the above code after the lines have
  been plotted, but then I click on one of the points (which causes a
  point-picking routine that ultimately plots a highlighting marker over
 that
  point), the x axis suddenly changes to use MyAutoDateFormatter's format
  strings.  (If I call it before I plot anything, it doesn't help, though).
 
  Is the act of plotting somehow refreshing things?  What can I call in
  order to force this to happen without actually plotting any additional
  points after my lines are plotted?

 It's difficult to tell without seeing the code that's producing the
 problem. If you can boil your problem down to a simple, self-contained
 script and post it here, then we can take a look and see what's going
 on.


Thanks, Ryan.  I've done that now.  I use the OOP approach to matplotlib and
embed it in wxPython, so my example uses that.  I did not know how to apply
an AutoDateFormatter to an axis if using pylab and figured the basics of
what I am trying to do are apparent from this sample.

The sample is attached.  The point of it is that, despite it apparently
using my AutoDateFormatter, all the dates at all levels of zoom are %Y (e.g.
2010).  This is because in the AutoDateFormatter subclass, the line:

scale = float( self._locator._get_unit() )

is *always* returning 365.0.

I am not bothering for now to include the business about how point-picking
remedies my problem, because the AutoDateFormatter shouldn't need
that--obviously, the way I am doing it is wrong, and I'd like to know what
it is.

Thanks for any help,
Che


plot_test.py
Description: Binary data
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[Matplotlib-users] subclassing AutoDateFormatter correctly

2010-11-28 Thread C M

How can I correctly subclass AutoDateFormatter and use it in my code?

What I am doing is copying the code from matplotlib's AutoDateFormatter and
changing the strings for how the dates are represented and making that a
class, MyAutoDateFormatter.  AutoDateFormatter expects a locator, and I
think (?) the default is AutoDateLocator.  So in my code I am doing this:

adl = AutoDateLocator()
myformatter = MyAutoDateFormatter(adl)
axis.xaxis.set_major_formatter(myformatter)

But when I run it, no matter the level of zoom, it says 2010 (when it
should change depending on zoom level).

However, if I go into the matplotlib dates.py code itself and save the same
changes to the date strings there, and I comment out the above code, then it
works:  the date strings change depending on level of zoom.

I could just leave it changed in mpl's dates.py module, but I'd rather
subclass AutoDateFormatter so that if I share the source code of my app with
others, it will get this right.

What am I doing wrong?

Thanks, and any help appreciated as always.

Che
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Re: [Matplotlib-users] date plot with two y axes...and some other things

2010-11-26 Thread C M

On Thu, Nov 18, 2010 at 12:59 PM, C M cmpyt...@gmail.com wrote:
 Goals:  date plot with two y axes (plotting completely different things)
            point picking and point labeling
            As many lines as user wants, all colored differently.

 Having some problems with this.  (matplotlib 0.98.5)

 1) There is a known bug with twinx() and plot_date:

 http://sourceforge.net/tracker/index.php?func=detailaid=3046812group_id=80706atid=560720

 But I can get it to work if I change ONE OF the plot_date() calls (the
 one for the values plotted to the right-hand y axis) to just plot().

 Is that going to introduce problems?  Is there a better workaround?
 (The ones on that page don't work for me).


So far, so good with this.  But for others working on it, I have found
that the *order* of plotting matters.

That is, I have two axes and I have to use plot() for one axis and
plot_date() for the other, but it must be plot() that is used first or
else I will get the error:  ValueError: ordinal must be = 1.

I'm managing my lines and grouping them by axes, and then making sure
I plot all the lines on the axis that uses plot() first.  Seems to
work fine after that.

 3) My point picking is not working with the two axes.  In my routine,
 I label  the picked point and to do that I have to make reference to
 its axis and call plot_date().  How can I know which axis the picked
 point came from, so that I can label it appropriately?

I should have just thought about that more.  Of course, there is the
method myline.get_axes() for that.

Che

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[Matplotlib-users] date plot with two y axes...and some other things

2010-11-18 Thread C M

Goals:  date plot with two y axes (plotting completely different things)
point picking and point labeling
As many lines as user wants, all colored differently.

Having some problems with this.  (matplotlib 0.98.5)

1) There is a known bug with twinx() and plot_date:

http://sourceforge.net/tracker/index.php?func=detailaid=3046812group_id=80706atid=560720

But I can get it to work if I change ONE OF the plot_date() calls (the
one for the values plotted to the right-hand y axis) to just plot().

Is that going to introduce problems?  Is there a better workaround?
(The ones on that page don't work for me).

2) How can I get the lines belonging to different axes to cycle
through colors such that the same color is not used for any lines
shown in the plot?  (that is, I don't want to hard code a color to any
line, I want it to auto-cycle).

3) My point picking is not working with the two axes.  In my routine,
I label  the picked point and to do that I have to make reference to
its axis and call plot_date().  How can I know which axis the picked
point came from, so that I can label it appropriately?

Sorry this is a little stirred together, but hoping I can get some
hints to allow me to work it into shape.

Thanks,
Che

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[Matplotlib-users] simpler example of embedding in wx

2010-09-25 Thread C M

I'd like to offer a simplest possible example for embedding in
wxPython; significantly simpler and completely pared down compared to
either of the two that are shown here:

http://www.scipy.org/Matplotlib_figure_in_a_wx_panel

but I don't have access to modify the page.  Doesn't anyone on the
list have that access, and
would that be welcome?  My example is ~20 lines long.

Thanks,
Che

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Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2010-09-22 Thread C M

On Wed, Sep 22, 2010 at 6:16 PM, Eric Firing efir...@hawaii.edu wrote:
 On 09/22/2010 10:11 AM, Russell Owen wrote:
 On Sep 22, 2010, at 11:16 AM, Benjamin Root wrote:

 On Wed, Sep 22, 2010 at 12:04 PM, Russell E. Owen ro...@uw.edu
 mailto:ro...@uw.edu wrote:

     In article 4c935c08.1000...@gmail.com
     mailto:4c935c08.1000...@gmail.com,
     Alan G Isaac alan.is...@gmail.com mailto:alan.is...@gmail.com
     wrote:

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

     It's realistic, and that has a lot to be said for it.

     One of my problems with matplotlib is that it is far too willing to
     truncate axis labels and related information. I'd be much happier
     with a
     layout model that always showed the axis labels in full.


 Ditto on this. In addition, it would be useful to prevent axes labels
 from spilling over into another axes' area.

 I submitted bug report #3073546 on the issue of axis labels getting
 truncated.
 https://sourceforge.net/tracker/?func=detailatid=560720aid=3073546group_id=80706
 https://sourceforge.net/tracker/?func=detailatid=560720aid=3073546group_id=80706

 You might want to add your suggestion about axis labels or submit a new
 ticket.

 The problem is not a bug; it is inherent in the fundamental design.
 Therefore I moved the ticket over to feature requests.  I want to keep
 the bugs list for real bugs that we can realistically expect to solve
 fairly quickly.

 I don't know whether Andrew Straw's wx sizer-inspired code (mplsizer
 toolkit) solves the problem or not.  My impression is that it does
 not--I think it is working with the Axes positions, not with axis and
 tick labels, which are what cause most of the difficulties.

 Eric

Until a more permanent solution is figured out, can anyone recommend
any workarounds, even if they are a little clunky?  I'm embedding mpl
plots in wxPython and am also finding this issue suboptimal.

Che

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Re: [Matplotlib-users] py2exe and matplotlib - Fonts: do I need them all?

2010-09-16 Thread C M

On Thu, Sep 16, 2010 at 6:33 PM, Carlos Grohmann
carlos.grohm...@gmail.com wrote:
 Hello all,

 I'm new to py2exe but I managed to create a binary executable of my
 program. Now I'm experiencing on how to make the final size of the
 binary smaller.

 I already managed to cut about 15Mb by removing calls to pyQt (I use
 Wxpython) and also to scipy.
 One thing that is still bothering me is the mpl_data directory that
 holds about 3.5 Mb of fonts.

 Is it OK to remove the fonts I don't use? (I use only sans-serif) By
 Ok I mean not only from the practical poin tof view (that is, will the
 app run?) but also from the _legal_ point of view (am I obliged to
 distribute all those fonts?)

 And what about all thos .afm files? Are they needed? What are they really?

 I hope to find some answers from your experience.

I think many would definitely benefit from knowing what can be left
out and how to do it, even beyond what you have mentioned.  I look
forward to seeing whatever responses you might get.

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Re: [Matplotlib-users] progress bar?

2010-06-28 Thread C M

On Mon, Jun 28, 2010 at 11:31 AM, Jim Vickroy jim.vick...@noaa.gov wrote:
 Carlos Grohmann wrote:

 I've been searching but coudn't find any example on how to add a
 progress bar to a wxpython+matplotlib app.
 I'd like my app to show a progress bar while some gridding and
 contouring are being done.

Or, if you don't want a separate dialog popping up, just use
wx.Gauge--it is a progress bar, and you can choose to put it near
(maybe under) your plot in the layout.

Che

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[Matplotlib-users] Fwd: install from svn on Linux not working for me

-- Forwarded message --
From: C M cmpyt...@gmail.com
Date: Mon, Apr 19, 2010 at 1:02 PM
Subject: Re: [Matplotlib-users] install from svn on Linux not working for me
To: Darren Dale dsdal...@gmail.com

On Mon, Apr 19, 2010 at 8:02 AM, Darren Dale dsdal...@gmail.com wrote:
 On Mon, Apr 19, 2010 at 4:30 AM, LUK ShunTim lukshun...@gmail.com wrote:
 On 04/19/2010 01:52 PM, C M wrote:
 My goal is to just get the lastest svn version of matplotlib, or, if
 not that, just the 0.99 version, up and working on my Linux (Intrepid
 Ibex) computer.  I checked it matplotlib out from svn fine, and then,
 as per the webpage, did:

 cd matplotlib
 python setup.py install

 and that resulted in a very large amount of errors.  I'll post them at
 the bottom of this message, since there are many lines.

 I previously had 0.98.x installed, via the Ubuntu repositories, but I
 have uninstalled it.  My version is:
 Linux ubuntu 2.6.27-7-generic #1 SMP Fri Oct 24 06:40:41 UTC 2008
 x86_64 GNU/Linux

 Any help is appreciated.  Thank you,
 Che

 Errors (starting from a few lines before):

 creating build/temp.linux-x86_64-2.5/src
 creating build/temp.linux-x86_64-2.5/CXX
 gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall
 -Wstrict-prototypes -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API
 -DPYCXX_ISO_CPP_LIB=1
 -I/usr/lib/python2.5/site-packages/numpy/core/include
 -I/usr/local/include -I/usr/include -I.
 -I/usr/lib/python2.5/site-packages/numpy/core/include/freetype2
 -I/usr/local/include/freetype2 -I/usr/include/freetype2 -I./freetype2
 -I/usr/include/python2.5 -c src/ft2font.cpp -o
 build/temp.linux-x86_64-2.5/src/ft2font.o
 cc1plus: warning: command line option -Wstrict-prototypes is valid
 for Ada/C/ObjC but not for C++
 In file included from ./CXX/Extensions.hxx:37,
                  from src/ft2font.h:4,
                  from src/ft2font.cpp:1:
 ./CXX/WrapPython.h:58:20: error: Python.h: No such file or directory

 You seem not to have the development package of python installed.
 Try sudo apt-get install python-dev.

 It looks like you are need to install libfreetype6-dev. Any time you
 see missing .h files in your output, it means you need to install the
 development headers for that package.

 Darren

Thanks, but after installing libfreetype6-dev, I tried to install
matplotlib again and still get a lot of errors.  Listed below.

Che

Ouput of install:

basedirlist is: ['/usr/local', '/usr']

BUILDING MATPLOTLIB
           matplotlib: 1.0.svn
               python: 2.5.2 (r252:60911, Jan 20 2010, 23:33:04)  [GCC
                       4.3.2]
             platform: linux2

REQUIRED DEPENDENCIES
                numpy: 1.1.1
            freetype2: 9.18.3

OPTIONAL BACKEND DEPENDENCIES
               libpng: found, but unknown version (no pkg-config)
                       * Could not find 'libpng' headers in any of
                       * '/usr/local/include', '/usr/include', '.'
              Tkinter: no
                       * TKAgg requires Tkinter
             wxPython: 2.8.10.1
                       * WxAgg extension not required for wxPython = 2.8
           pkg-config: looking for pygtk-2.0 gtk+-2.0
                       * Package pygtk-2.0 was not found in the pkg-config
                       * search path. Perhaps you should add the directory
                       * containing `pygtk-2.0.pc' to the PKG_CONFIG_PATH
                       * environment variable No package 'pygtk-2.0' found
                       * Package gtk+-2.0 was not found in the pkg-config
                       * search path. Perhaps you should add the directory
                       * containing `gtk+-2.0.pc' to the PKG_CONFIG_PATH
                       * environment variable No package 'gtk+-2.0' found
                       * You may need to install 'dev' package(s) to
                       * provide header files.
                 Gtk+: no
                       * Could not find Gtk+ headers in any of
                       * '/usr/local/include', '/usr/include', '.'
      Mac OS X native: no
                   Qt: no
                  Qt4: no
                Cairo: 1.4.12

OPTIONAL DATE/TIMEZONE DEPENDENCIES
             datetime: present, version unknown
             dateutil: 1.4
                 pytz: 2008b

OPTIONAL USETEX DEPENDENCIES
               dvipng: 1.11
          ghostscript: 8.63
                latex: 3.141592
              pdftops: 3.00

[Edit setup.cfg to suppress the above messages]

pymods ['pylab']
packages ['matplotlib', 'matplotlib.backends',
'matplotlib.backends.qt4_editor', 'matplotlib.projections',
'matplotlib.testing', 'matplotlib.testing.jpl_units',
'matplotlib.tests', 'mpl_toolkits', 'mpl_toolkits.mplot3d',
'mpl_toolkits.axes_grid', 'mpl_toolkits.axes_grid1',
'mpl_toolkits.axisartist', 'matplotlib.sphinxext',
'matplotlib.numerix

[Matplotlib-users] Fwd: install from svn on Linux not working for me

-- Forwarded message --
From: C M cmpyt...@gmail.com
Date: Mon, Apr 19, 2010 at 12:58 PM
Subject: Re: [Matplotlib-users] install from svn on Linux not working for me
To: LUK ShunTim lukshun...@gmail.com

On Mon, Apr 19, 2010 at 4:30 AM, LUK ShunTim lukshun...@gmail.com wrote:
 On 04/19/2010 01:52 PM, C M wrote:
 My goal is to just get the lastest svn version of matplotlib, or, if
 not that, just the 0.99 version, up and working on my Linux (Intrepid
 Ibex) computer.  I checked it matplotlib out from svn fine, and then,
 as per the webpage, did:

 cd matplotlib
 python setup.py install

 and that resulted in a very large amount of errors.  I'll post them at
 the bottom of this message, since there are many lines.

 I previously had 0.98.x installed, via the Ubuntu repositories, but I
 have uninstalled it.  My version is:
 Linux ubuntu 2.6.27-7-generic #1 SMP Fri Oct 24 06:40:41 UTC 2008
 x86_64 GNU/Linux

 Any help is appreciated.  Thank you,
 Che

 Errors (starting from a few lines before):

 creating build/temp.linux-x86_64-2.5/src
 creating build/temp.linux-x86_64-2.5/CXX
 gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall
 -Wstrict-prototypes -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API
 -DPYCXX_ISO_CPP_LIB=1
 -I/usr/lib/python2.5/site-packages/numpy/core/include
 -I/usr/local/include -I/usr/include -I.
 -I/usr/lib/python2.5/site-packages/numpy/core/include/freetype2
 -I/usr/local/include/freetype2 -I/usr/include/freetype2 -I./freetype2
 -I/usr/include/python2.5 -c src/ft2font.cpp -o
 build/temp.linux-x86_64-2.5/src/ft2font.o
 cc1plus: warning: command line option -Wstrict-prototypes is valid
 for Ada/C/ObjC but not for C++
 In file included from ./CXX/Extensions.hxx:37,
                  from src/ft2font.h:4,
                  from src/ft2font.cpp:1:
 ./CXX/WrapPython.h:58:20: error: Python.h: No such file or directory

 You seem not to have the development package of python installed.
 Try sudo apt-get install python-dev.

 Regards,
 ST

Well, I now did that and I still get lots of errors The full
output of the terminal is listed below.

Why is this so much more difficult than the website suggests?  Am I
going to need to take this all into account if I want to distribute a
packaged-up version of my application on Linux?  This is the first
time I've run into these problems.

Thanks,
Che

Terminal output:

basedirlist is: ['/usr/local', '/usr']

BUILDING MATPLOTLIB
           matplotlib: 1.0.svn
               python: 2.5.2 (r252:60911, Jan 20 2010, 23:33:04)  [GCC
                       4.3.2]
             platform: linux2

REQUIRED DEPENDENCIES
                numpy: 1.1.1
            freetype2: found, but unknown version (no pkg-config)
                       * WARNING: Could not find 'freetype2' headers in any
                       * of '/usr/local/include', '/usr/include', '.',
                       * '/usr/local/include/freetype2',
                       * '/usr/include/freetype2', './freetype2'.

OPTIONAL BACKEND DEPENDENCIES
               libpng: found, but unknown version (no pkg-config)
                       * Could not find 'libpng' headers in any of
                       * '/usr/local/include', '/usr/include', '.'
              Tkinter: no
                       * TKAgg requires Tkinter
             wxPython: 2.8.10.1
                       * WxAgg extension not required for wxPython = 2.8
           pkg-config: looking for pygtk-2.0 gtk+-2.0
                       * Package pygtk-2.0 was not found in the pkg-config
                       * search path. Perhaps you should add the directory
                       * containing `pygtk-2.0.pc' to the PKG_CONFIG_PATH
                       * environment variable No package 'pygtk-2.0' found
                       * Package gtk+-2.0 was not found in the pkg-config
                       * search path. Perhaps you should add the directory
                       * containing `gtk+-2.0.pc' to the PKG_CONFIG_PATH
                       * environment variable No package 'gtk+-2.0' found
                       * You may need to install 'dev' package(s) to
                       * provide header files.
                 Gtk+: no
                       * Could not find Gtk+ headers in any of
                       * '/usr/local/include', '/usr/include', '.'
      Mac OS X native: no
                   Qt: no
                  Qt4: no
                Cairo: 1.4.12

OPTIONAL DATE/TIMEZONE DEPENDENCIES
             datetime: present, version unknown
             dateutil: 1.4
                 pytz: 2008b

OPTIONAL USETEX DEPENDENCIES
               dvipng: 1.11
          ghostscript: 8.63
                latex: 3.141592
              pdftops: 3.00

[Edit setup.cfg to suppress the above messages]

pymods ['pylab']
packages ['matplotlib', 'matplotlib.backends

Re: [Matplotlib-users] Fwd: install from svn on Linux not working for me

On Mon, Apr 19, 2010 at 1:31 PM, Mauro Cavalcanti mauro...@gmail.com wrote:
 As I posted before, I ran across precisely these same errors when
 upgrading my Ubuntu box and the Python interpreter. You will need to
 install other dependencies as the installation log shows (gtk-2.0+,
 pygtk), including its development versions.

Can someone explain why I was able to have matplotlib 0.99 installed
previously, and can easily have 0.98 installed through Synaptic/Ubuntu
repositories, and yet have to hunt down the additional dependencies
myself if I install from svn?  I can't recall if I installed 0.99
through a third party repository or how I got it, but the point is:
is the svn version going to be different than what one gets through a
repository?

Is this need to install dependencies usually the case when installing
from svn?--and if so, can I suggest that this be mentioned in the
online documentation? (perhaps it is and I didn't see it?).

 And yes, distributing a packaged Python application which uses
 Matplotlib (either for Linux or Windows) is *not* an easy and simple
 matter. But with patience, it is possible.

On Windows I've found it is close to  easy once you know to include
the matplotlib data files in your py2exe script (also, using GUI2Exe
helps with this a great deal).  What are the (basic) steps for doing
this on Linux?  I was thinking of using cx_freeze or something to
package everything up on Linux.

Thank you,
Che

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Re: [Matplotlib-users] Fwd: install from svn on Linux not working for me