Re: [Matplotlib-users] Vertical alignment of a text
Title: Flashmail
Thanks, that's work well.
Regards.
C.
>I presume that you're only interested in the math formula, and not in >any other graphical functionality of MPL. You may use mathtext module >directly in that case. > >from matplotlib.mathtext import MathTextParser > >p = MathTextParser("bitmap") >filename, texstr = "test.png", r"$\alpha$" >p.to_png(filename, texstr) >d = p.get_depth(texstr)
--
This SF.net email is sponsored by:
SourcForge Community
SourceForge wants to tell your story.
http://p.sf.net/sfu/sf-spreadtheword___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Color Map.
Title: Flashmail Thanks, that's look great. Regards. C. >Unfortunately, I don't use Mayavi and therefore don't have any easy >examples to offer. I guess you might find such things in the user >guide or Cookbook. > >http://code.enthought.com/projects/mayavi/docs/development/html/mayavi/ >http://www.scipy.org/Cookbook/MayaVi > >Cheers, >Scott -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot() cuts off long tick labels
On Jan 15, 2009, at 8:41 PM, Eric Firing wrote: > Chris Fonnesbeck wrote: >> Is there any way of preventing tick label names from being cut off by >> the plot canvas? Seems to happen every time: >> >> http://a3.s3.p.quickshareit.com/files/validationb0e66.png >> >> Thanks in advance. >> > > There is no automatic way. If you are going to use long labels like > that, then you need to use subplots_adjust or other manual methods for > positioning your axes within your figure. You can also permanently change the defaults in you rc file JDH -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Figure with pyQt
You'll have to excuse some of the comments in the code (it's in a constant
state of revision), but this is a basic PyQt4/matplotlib widget that I use
quite often and can be embedded using QtDesigner as well. You'll obviously
need PyQt4, Matplotlib, and Numpy to run it. Of course mods can be made as you
see fit for your particular application.
I should note that Ctrl+Z zooms using the Spanselector and the top of the drawn
span is the max Y and the the min Y always defaults to 0 (this works for my
data sets). Ctrl+A zooms out. Save to csv is also an option
(Ctrl+Alt+S)--this can fail if you've a weird data set. Ctrl+C copies a png of
the current figure to the user's home directory (works for both Linux and
Windows) and also puts the image on the current clipboard.
I've also added an option to make multiple plot layouts that are stored in a
dictionary that can be accessed to plot to the given axes. If anyone has a
more elegant solution please share. Let me know if you've questions.
Cheers,
Brian
##
#!/usr/bin/env python
import os
import sys
from PyQt4 import QtCore, QtGui
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4 import NavigationToolbar2QT as
NavigationToolbar
#from matplotlib.backend_bases import NavigationToolbar2
from matplotlib.figure import Figure
from matplotlib.widgets import SpanSelector
#from matplotlib.pyplot import savefig
import numpy as N
class MyMplCanvas(FigureCanvas):
def __init__(self, parent=None, width = 5, height = 5, dpi = 100, sharex =
None, sharey = None):
self.fig = Figure(figsize = (width, height), dpi=dpi, facecolor =
'#FF')
self.axDict = {}
self.figInit = False
self.sharey = sharey
self.sharey = sharey
# self.ax1.hold(True)
FigureCanvas.__init__(self, self.fig)
#self.fc = FigureCanvas(self.fig)
FigureCanvas.setSizePolicy(self,
QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
self.setupSub(1)
def setupSub(self, numSubRows, numSubCols = 1, sharex = False, sharey =
False):
self.fig.clf()
for m in range(1,numSubRows+1):
for n in range(1,numSubCols+1):
axName = 'ax%s'%m
axLoc = 100*numSubRows+10*n+m
#print axLoc
if sharex:
if m>1:
self.axDict[axName] = self.fig.add_subplot(axLoc,
sharex = self.axDict['ax%s'%(m-1)])
else:
self.axDict[axName] = self.fig.add_subplot(axLoc)#,
sharex = self.sharex, sharey = self.sharey)
else:
self.axDict[axName] = self.fig.add_subplot(axLoc)#, sharex
= self.sharex, sharey = self.sharey)
self.figInit = True
self.fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9)
self.xtitle=""
self.ytitle=""
#self.PlotTitle = "Plot"
self.grid_status = True
self.xaxis_style = 'linear'
self.yaxis_style = 'linear'
self.format_labels()
def format_labels(self):
if self.figInit:
for ax in self.axDict.itervalues():
ax.title.set_fontsize(10)
ax.set_xlabel(self.xtitle, fontsize = 9)
ax.set_ylabel(self.ytitle, fontsize = 9)
labels_x = ax.get_xticklabels()
labels_y = ax.get_yticklabels()
for xlabel in labels_x:
xlabel.set_fontsize(8)
for ylabel in labels_y:
ylabel.set_fontsize(8)
ylabel.set_color('b')
if ax.get_legend() != None:
texts = ax.get_legend().get_texts()
for text in texts:
text.set_fontsize(8)
else:
print "please initiate the number of subplots. Call
*.canvas.setupSub(numofSubs)"
def sizeHint(self):
w, h = self.get_width_height()
return QtCore.QSize(w, h)
def minimumSizeHint(self):
return QtCore.QSize(10, 10)
def sizeHint(self):
w, h = self.get_width_height()
return QtCore.QSize(w, h)
def minimumSizeHint(self):
return QtCore.QSize(10, 10)
class MyNavigationToolbar(NavigationToolbar) :
def __init__(self , parent , canvas , direction = 'h' ) :
#NavigationToolbar.__init__(self,parent,canvas)
#self.layout = QVBoxLayout( self )
self.canvas = canvas
QWidget.__init__( self, parent )
if direction=='h' :
self.layout = QHBoxLayout( self )
else :
self.layout = QVBoxLayout( self )
self.layout.setMargin( 2 )
se
[Matplotlib-users] FourierDemo now on wxPyWiki
After some positive feedback and subsequent discussion on the wxPython users list, I decided to add a wiki page for the Fourier Demo I posted earlier: http://wiki.wxpython.org/MatplotlibFourierDemo Robin, et. al., do you think this warrants moving up into a new category (e.g. RecipesMatplotlib) in the Recipes section? I added it in the RecipesOther but there are so many recipes there that it seems kind of buried. Best, Tom K. -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] FourierDemo now on wxPyWiki
On Fri, Jan 16, 2009 at 8:20 AM, Tom Krauss wrote: > After some positive feedback and subsequent discussion on the > wxPython users list, I decided to add a wiki page for the Fourier > Demo I posted earlier: > > http://wiki.wxpython.org/MatplotlibFourierDemo > > Robin, et. al., do you think this warrants moving up into a new > category (e.g. RecipesMatplotlib) in the Recipes section? I added it > in the RecipesOther but there are so many recipes there that it seems > kind of buried. Thanks for the reminder Tom -- the demo is indeed very nice but it stuck in the back of my inbox. I added it to mpl svn in examples/user_interfaces/fourier_demo_wx.py -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Figure with pyQt
That's great. I'm a real newbie with mpl and I would like to know how to
change figure after a PyQt-Event.
That's must be simple but I don't see how to do this. My idea would be for
example to show different kinds of draw like for example the sin function
and another function. The users just have to click on some button. This is
only to understand the way mpl manage changes in the figure.
If someone could helpme that would be greater than great.
Regards.
Christophe.
Message d'origine
>Date: Fri, 16 Jan 2009 07:00:07 -0800 (PST)
>De: B Clowers
>Sujet: Re: [Matplotlib-users] Figure with pyQt
>A: matplotlib-users@lists.sourceforge.net, projet...@club-internet.fr
>
>
>You'll have to excuse some of the comments in the code (it's in a constant
state of revision), but this is a basic PyQt4/matplotlib widget that I use
quite often and can be embedded using QtDesigner as well. You'll
obviously need PyQt4, Matplotlib, and Numpy to run it. Of course mods can
be made as you see fit for your particular application.
>
>I should note that Ctrl+Z zooms using the Spanselector and the top of the
drawn span is the max Y and the the min Y always defaults to 0 (this works
for my data sets). Ctrl+A zooms out. Save to csv is also an option
(Ctrl+Alt+S)--this can fail if you've a weird data set. Ctrl+C copies a png of
the current figure to the user's home directory (works for both Linux and
Windows) and also puts the image on the current clipboard.
>
>I've also added an option to make multiple plot layouts that are stored in
a dictionary that can be accessed to plot to the given axes. If anyone has
a more elegant solution please share. Let me know if you've questions.
>
>Cheers,
>
>Brian
>
>##
>#!/usr/bin/env python
>
>
>import os
>
>import sys
>
>
>from PyQt4 import QtCore, QtGui
>
>
>from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as
FigureCanvas
>
>from matplotlib.backends.backend_qt4 import NavigationToolbar2QT as
NavigationToolbar
>
>#from matplotlib.backend_bases import NavigationToolbar2
>
>
>from matplotlib.figure import Figure
>
>
>from matplotlib.widgets import SpanSelector
>
>#from matplotlib.pyplot import savefig
>
>
>import numpy as N
>
>
>
>class MyMplCanvas(FigureCanvas):
>
> def __init__(self, parent=None, width = 5, height = 5, dpi = 100,
sharex = None, sharey = None):
>
> self.fig = Figure(figsize = (width, height), dpi=dpi, facecolor =
'#FF')
>
> self.axDict = {}
>
> self.figInit = False
>
>
> self.sharey = sharey
>
> self.sharey = sharey
>
>
># self.ax1.hold(True)
>
>
>
> FigureCanvas.__init__(self, self.fig)
>
> #self.fc = FigureCanvas(self.fig)
>
> FigureCanvas.setSizePolicy(self,
>
> QtGui.QSizePolicy.Expanding,
>
> QtGui.QSizePolicy.Expanding)
>
> FigureCanvas.updateGeometry(self)
>
> self.setupSub(1)
>
>
> def setupSub(self, numSubRows, numSubCols = 1, sharex = False,
sharey = False):
>
> self.fig.clf()
>
> for m in range(1,numSubRows+1):
>
> for n in range(1,numSubCols+1):
>
> axName = 'ax%s'%m
>
> axLoc = 100*numSubRows+10*n+m
>
> #print axLoc
>
> if sharex:
>
> if m>1:
>
> self.axDict[axName] = self.fig.add_subplot(axLoc,
>sharex
= self.axDict['ax%s'%(m-1)])
>
> else:
>
> self.axDict[axName] = self.fig.add_subplot(axLoc)#,
sharex = self.sharex, sharey = self.sharey)
>
> else:
>
> self.axDict[axName] = self.fig.add_subplot(axLoc)#, sharex
= self.sharex, sharey = self.sharey)
>
>
> self.figInit = True
>
>
> self.fig.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.9)
>
> self.xtitle=""
>
> self.ytitle=""
>
> #self.PlotTitle = "Plot"
>
> self.grid_status = True
>
> self.xaxis_style = 'linear'
>
> self.yaxis_style = 'linear'
>
> self.format_labels()
>
>
>
>
> def format_labels(self):
>
> if self.figInit:
>
> for ax in self.axDict.itervalues():
>
> ax.title.set_fontsize(10)
>
> ax.set_xlabel(self.xtitle, fontsize = 9)
>
> ax.set_ylabel(self.ytitle, fontsize = 9)
>
> labels_x = ax.get_xticklabels()
>
> labels_y = ax.get_yticklabels()
>
>
> for xlabel in labels_x:
>
> xlabel.set_fontsize(8)
>
> for ylabel in labels_y:
>
> ylabel.set_fontsize(8)
>
> ylabel.set_color('b')
>
> if ax.get_legend() != None:
>
> texts = ax.get_legend().get_texts()
>
> for text in texts:
>
> text.set_fontsize(8)
>
> else:
>
> print "please initiate the number of subplots. Call
[Matplotlib-users] axes through origin (0,0)
Hello: I would like to place the x label and y label to be placed above lines running through the origin (0,0). I am happy to leave the tick markings on the border around the plot. I currently use a ax.axvline(x=0, color='black') ax.axhline(y=0, color='black') to get the lines, but how to get y label to be on the top of the vline that goes through x=0 and the xlabel to be at the left end of the hline that goes through y=0? Thank you, Zoho -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Problem with shapelib
I've had problems trying to read shapefiles using the matplotlib basemap
toolkit
I can import the shapelib module without error but when I try to read a
shapefile this happens:
Traceback (most recent call last):
File "C:\Documents and Settings\David\Desktop\cornwall\try_4828.py",
line 44, in
read_4828()
File "C:\Documents and Settings\David\Desktop\cornwall\try_4828.py",
line 7, in read_4828
shp=shapelib.ShapeFile('4828/4828/package/shp/par1851.shp')
File
"c:\python25\lib\site-packages\basemap-0.99.1.0001-py2.5-win32.egg\shapelib\shapelib.py",
line 44, in __init__
self.this = apply(shapelibc.new_ShapeFile,args)
IOError: new_ShapeFile failed
Anyone know why this might be?
I'm using basemap 0.99.1 on Windows XP
David
--
This SF.net email is sponsored by:
SourcForge Community
SourceForge wants to tell your story.
http://p.sf.net/sfu/sf-spreadtheword
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Figure with pyQt
On Fri, Jan 16, 2009 at 9:40 AM, wrote: > That's great. I'm a real newbie with mpl and I would like to know how to > change figure after a PyQt-Event. > That's must be simple but I don't see how to do this. My idea would be for > example to show different kinds of draw like for example the sin function > and another function. The users just have to click on some button. This is > only to understand the way mpl manage changes in the figure. > > If someone could helpme that would be greater than great. Take a look at the matplotlib widgets example referenced below. It uses mpl widgets rather than qt widgets, but it should make clear the logic of updating plot properties connected to callbacks http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/examples/widgets/radio_buttons.py?content-type=text%2Fplain -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with shapelib
David Trethewey wrote:
> I've had problems trying to read shapefiles using the matplotlib basemap
> toolkit
>
> I can import the shapelib module without error but when I try to read a
> shapefile this happens:
>
> Traceback (most recent call last):
> File "C:\Documents and Settings\David\Desktop\cornwall\try_4828.py",
> line 44, in
> read_4828()
> File "C:\Documents and Settings\David\Desktop\cornwall\try_4828.py",
> line 7, in read_4828
> shp=shapelib.ShapeFile('4828/4828/package/shp/par1851.shp')
> File
> "c:\python25\lib\site-packages\basemap-0.99.1.0001-py2.5-win32.egg\shapelib\shapelib.py",
>
> line 44, in __init__
> self.this = apply(shapelibc.new_ShapeFile,args)
> IOError: new_ShapeFile failed
>
> Anyone know why this might be?
>
> I'm using basemap 0.99.1 on Windows XP
>
> David
David Can you post your shapefile somewhere so I can try it here?
-Jeff
--
Jeffrey S. Whitaker Phone : (303)497-6313
Meteorologist FAX: (303)497-6449
NOAA/OAR/PSD R/PSD1Email : jeffrey.s.whita...@noaa.gov
325 BroadwayOffice : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg
--
This SF.net email is sponsored by:
SourcForge Community
SourceForge wants to tell your story.
http://p.sf.net/sfu/sf-spreadtheword
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] axes through origin (0,0)
On Fri, Jan 16, 2009 at 9:47 AM, Zoho Vignochi wrote: > Hello: > > I would like to place the x label and y label to be placed above lines > running through the origin (0,0). I am happy to leave the tick markings > on the border around the plot. > > I currently use a > ax.axvline(x=0, color='black') > ax.axhline(y=0, color='black') > > to get the lines, but how to get y label to be on the top of the vline > that goes through x=0 and the xlabel to be at the left end of the hline > that goes through y=0? Sadly, it is not possible, but it is on the wish list. You can however, turn it off, and then use ax.text to put text anywhere you want. Eg to place something at 0,0 ax.text(0, 0, 'my xlabel') -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problem with shapelib
David Trethewey wrote:
> http://www.srcf.ucam.org/cukernow/par1851.shp
>
> It's a map of the historic parishes of England and Wales if you're
> curious.
>
> David
>
David: You also need the corresponding .shx and .dbf files to open it -
perhaps that is the problem?
-Jeff
> Jeff Whitaker wrote:
>> David Trethewey wrote:
>>> I've had problems trying to read shapefiles using the matplotlib
>>> basemap toolkit
>>>
>>> I can import the shapelib module without error but when I try to
>>> read a shapefile this happens:
>>>
>>> Traceback (most recent call last):
>>> File "C:\Documents and
>>> Settings\David\Desktop\cornwall\try_4828.py", line 44, in
>>> read_4828()
>>> File "C:\Documents and
>>> Settings\David\Desktop\cornwall\try_4828.py", line 7, in read_4828
>>> shp=shapelib.ShapeFile('4828/4828/package/shp/par1851.shp')
>>> File
>>> "c:\python25\lib\site-packages\basemap-0.99.1.0001-py2.5-win32.egg\shapelib\shapelib.py",
>>>
>>> line 44, in __init__
>>> self.this = apply(shapelibc.new_ShapeFile,args)
>>> IOError: new_ShapeFile failed
>>>
>>> Anyone know why this might be?
>>>
>>> I'm using basemap 0.99.1 on Windows XP
>>>
>>> David
>>
>> David Can you post your shapefile somewhere so I can try it here?
>>
>> -Jeff
>>
>
--
Jeffrey S. Whitaker Phone : (303)497-6313
Meteorologist FAX: (303)497-6449
NOAA/OAR/PSD R/PSD1Email : jeffrey.s.whita...@noaa.gov
325 BroadwayOffice : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg
--
This SF.net email is sponsored by:
SourcForge Community
SourceForge wants to tell your story.
http://p.sf.net/sfu/sf-spreadtheword
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] cmap from sepparate color values
I have a series of 18 separate colors to create my cmap but I would like to convert that to a continuous map which interpolates all the other values in between my chosen colors. This should be really easy but I am not sure how can it be solved. Any ideas? Thanks, Anton -- View this message in context: http://www.nabble.com/cmap-from-sepparate-color-values-tp21503197p21503197.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cmap from sepparate color values
On Fri, Jan 16, 2009 at 10:33 AM, antonv wrote:
>
> I have a series of 18 separate colors to create my cmap but I would like to
> convert that to a continuous map which interpolates all the other values in
> between my chosen colors. This should be really easy but I am not sure how
> can it be solved. Any ideas?
Although the logic of the LinearSegmentedColormap takes some time to
get your head around, it is pretty easy.
http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LinearSegmentedColormap
Here is an example:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import matplotlib.cm as cm
colors = 'red', 'green', 'blue', 'yellow', 'orange'
ncolors = len(colors)
vals = np.linspace(0., 1., ncolors)
cdict = dict(red=[], green=[], blue=[])
for val, color in zip(vals, colors):
r,g,b = mcolors.colorConverter.to_rgb(color)
cdict['red'].append((val, r, r))
cdict['green'].append((val, g, g))
cdict['blue'].append((val, b, b))
cmap = mcolors.LinearSegmentedColormap('mycolors', cdict)
x = np.arange(1.).reshape((100,100))
plt.imshow(x, cmap=cmap)
plt.show()
See also
http://matplotlib.sourceforge.net/examples/pylab_examples/custom_cmap.html.
I just added a function to svn to support this, so with svn you can
do
colors = 'red', 'gray', 'green'
cmap = mcolors.LinearSegmentedColormap.from_list('mycolors', colors)
X, Y = np.meshgrid(np.arange(10), np.arange(10))
plt.imshow(X+Y, cmap=cmap)
JDH
--
This SF.net email is sponsored by:
SourcForge Community
SourceForge wants to tell your story.
http://p.sf.net/sfu/sf-spreadtheword
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Basemap.pyproj: towgs84
Hi, it seems that pyproj.Proj does not take into account the "towgs84" optional parameter. Here is what I simply tried: from mpl_toolkits.basemap import * lonref = -3. latref = 47. kwproj = dict(proj="lcc", a=6378249.2, b=6356515., x_0=60., y_0=20., lon_0="2d20'14.025", lat_0="46d48'", lat_1="45d53'56.108", lat_2="47d41'45.652") print pyproj.Proj(**kwproj)(lonref, latref) kwproj.update(towgs84="-168,-60,+320") print pyproj.Proj(**kwproj)(lonref, latref) Both transforms give the same result. Try the same parameters with "cs2cs" changes the results as expected. Did I miss something? -- Stephane Raynaud -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Basemap.pyproj: towgs84
Stephane Raynaud wrote: > Hi, > > it seems that pyproj.Proj does not take into account the "towgs84" > optional parameter. > Here is what I simply tried: > > from mpl_toolkits.basemap import * > lonref = -3. > latref = 47. > > kwproj = dict(proj="lcc", a=6378249.2, b=6356515., x_0=60., > y_0=20., > lon_0="2d20'14.025", lat_0="46d48'", lat_1="45d53'56.108", > lat_2="47d41'45.652") > print pyproj.Proj(**kwproj)(lonref, latref) > > kwproj.update(towgs84="-168,-60,+320") > print pyproj.Proj(**kwproj)(lonref, latref) > > Both transforms give the same result. > > Try the same parameters with "cs2cs" changes the results as expected. > Did I miss something? > > -- > Stephane Raynaud Stephanie: All the arguments you pass to the Proj instance were used. I don't pretend to understand what's supposed to be happening here, but I guess you are mis-specifying or mis-interpreting some of the proj arguments. The command-line version of proj gives the same answer: echo "-3.0 47.0" | proj +proj='lcc' +units=m +a=6378249.2 +lon_0="2d20'14.025" +y_0=20.0 +b=6356515.0 +x_0=60.0 +lat_2="47d41'45.652" +lat_1="45d53'56.108" +lat_0="46d48'" 194411.84 236007.03 echo "-3.0 47.0" | proj +proj='lcc' +units=m +a=6378249.2 +lon_0="2d20'14.025" +y_0=20.0 +b=6356515.0 +x_0=60.0 +lat_2="47d41'45.652" +lat_1="45d53'56.108" +lat_0="46d48'" +towgs84="-168,-60,+320" 194411.84 236007.03 -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : jeffrey.s.whita...@noaa.gov 325 BroadwayOffice : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Figure with pyQt
Title: Flashmail Thanks a lot. That's a real good example. Regards. C. >Take a look at the matplotlib widgets example referenced below. It >uses mpl widgets rather than qt widgets, but it should make clear the >logic of updating plot properties connected to callbacks > >http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/examples/widgets/radio_buttons.py?content-type=text%2Fplain -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [Matplotlib-announce] Bug in image.py module ?
On Fri, Jan 16, 2009 at 3:12 PM, wrote: > Hello everybody, > > I may have found a bug in the module image.py, class AxesImage, of > matplotlib 0.98.5. > > The method 'get_interpolation' has been defined twice. The first time > it returns the attribute '_interpolation' (the right one). A few lines later, > the second definition returns the attribute '_resample' (the wrong one ?). > > So, when you call 'get_interpolation' from an AxesImage instance such as > 'imshow' it returns False instead of the proper interpolation scheme. > > What do you think ? This is a bug, I'll fix it. Thanks for the report. Please do not post to matplotlib-announce. You should post to matplotlib-users instead. matplotlib-announce is just for releases, etc. JDH -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] sizing plot right when embedded in wxPython
Hi, this is somewhat of a wxPython issue, maybe, but in the end I think my confusion is in how the sizing of a mpl canvas vs. a figure ought to work, and so I am trying here first. The attached code (a wxPython frame which displays a mpl graph...what most here would call a plot) shows my problem. The bottom of the graph is cut off unless I resize the frame to be very tall. But one can see that this is wrong because you can resize it to make it not so tall, but then resize it again but not let go (don't let it go idle, so it won't yet call it's size method) and there is plenty of room for the x axis label and such. When you do let go it resizes it to cut off the bottom again. I think this is because in the _SetSize method of the PlotPanel class, it is getting the parent's client size, but this is not taking into account two ways in which some of that size is used up Maybe. Like: - In the case of a panel with other objects on it (like the two buttons), it doesn't subtract the height of those buttons. - In the case of a wx.AUINotebook, it doesn't subtract the height of the bar where the tabs are. I have played around with it but have wound up confusing myself, and I am unclear as to how the _SetSize method is working here, or if it is right for all circumstances (I guess it isn't, since my x I have a nagging sense that I just should RTFM more, but on the other hand I just wanted a reality check that the way I am thinking about this is about on target. Thanks, Che embed_problem.py Description: application/python -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Color themes
I'm no good at choosing colors. Does matplotlib have a way to automatically assign colors (based on a theme), or provide a way to choose a color from a theme? (Excel 2007 opened my eyes to this.) Currently, when I do: bar(..., color = 'r', ...) bar(..., color = 'y', ...) bar(..., color = 'b', ...) I usually just choose one of the primary colors. It would be nice if I could instead write the following (or better if the colors could be assigned automagically), so I needn't worry about choosing colors: bar(..., color = themecolor(0), ...) bar(..., color = themecolor(1), ...) bar(..., color = themecolor(2), ...) I see these things called colormaps on the home page documentation, but I can't figure out how to use these (calling autumn() before plotting made no change to my plot) or whether they're even what I'm looking for. Or perhaps there's some Python package out there completely unrelated to matplotlib that I could use? Thanks in advance for any hints. -- Yang Zhang http://www.mit.edu/~y_z/ -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] plot problem
pylab.plot (xaxis, log10 (the_sum)*10) where xaxis is numpy array, and log10(the_sum)*10 is my own class that is a valid python sequence (it is a c++ wrapper around boost::ublas), gives: File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- x86_64.egg/matplotlib/pyplot.py", line 2096, in plot ret = gca().plot(*args, **kwargs) File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- x86_64.egg/matplotlib/axes.py", line 3277, in plot for line in self._get_lines(*args, **kwargs): File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- x86_64.egg/matplotlib/axes.py", line 394, in _grab_next_args for seg in self._plot_2_args(remaining, **kwargs): File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- x86_64.egg/matplotlib/axes.py", line 267, in _plot_2_args if is_string_like(tup2[1]): File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- x86_64.egg/matplotlib/cbook.py", line 277, in is_string_like try: obj + '' RuntimeError: check:: failed If I convert the 2nd arg to array, it works: pylab.plot (xaxis, np.array(log10 (the_sum)*10)) Doesn't plot support arbitrary sequences? -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot problem
Neal Becker wrote: > pylab.plot (xaxis, log10 (the_sum)*10) > where xaxis is numpy array, and log10(the_sum)*10 is my own class that is a > valid python sequence (it is a c++ wrapper around boost::ublas), gives: > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/pyplot.py", line 2096, in plot > ret = gca().plot(*args, **kwargs) > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/axes.py", line 3277, in plot > for line in self._get_lines(*args, **kwargs): > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/axes.py", line 394, in _grab_next_args > for seg in self._plot_2_args(remaining, **kwargs): > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/axes.py", line 267, in _plot_2_args > if is_string_like(tup2[1]): > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/cbook.py", line 277, in is_string_like > try: obj + '' > RuntimeError: check:: failed > > If I convert the 2nd arg to array, it works: >pylab.plot (xaxis, np.array(log10 (the_sum)*10)) > > Doesn't plot support arbitrary sequences? Not *completely* arbitrary, evidently. It has to raise a Python exception when an invalid operation (specifically, adding an empty string) is attempted. Apparently your wrapper is not doing this. This is the duck-typing check for a string that mpl has used from early times. Eric -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot problem
On Friday 16 January 2009, Eric Firing wrote: > Neal Becker wrote: > > pylab.plot (xaxis, log10 (the_sum)*10) > > where xaxis is numpy array, and log10(the_sum)*10 is my own class that is > > a valid python sequence (it is a c++ wrapper around boost::ublas), gives: > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/pyplot.py", line 2096, in plot > > ret = gca().plot(*args, **kwargs) > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/axes.py", line 3277, in plot > > for line in self._get_lines(*args, **kwargs): > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/axes.py", line 394, in _grab_next_args > > for seg in self._plot_2_args(remaining, **kwargs): > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/axes.py", line 267, in _plot_2_args > > if is_string_like(tup2[1]): > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/cbook.py", line 277, in is_string_like > > try: obj + '' > > RuntimeError: check:: failed > > > > If I convert the 2nd arg to array, it works: > >pylab.plot (xaxis, np.array(log10 (the_sum)*10)) > > > > Doesn't plot support arbitrary sequences? > > Not *completely* arbitrary, evidently. It has to raise a Python > exception when an invalid operation (specifically, adding an empty > string) is attempted. Apparently your wrapper is not doing this. This > is the duck-typing check for a string that mpl has used from early times. > > Eric Is it possible that this could be better? I'm not sure what's happening here, but I think it is trying to see if my type can be a string first. It can, but that's not a good idea in this case. It should correctly support a sequence (and iterator) protocol. Shouldn't matplotlib try that first? -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot problem
On Friday 16 January 2009, Eric Firing wrote: > Neal Becker wrote: > > pylab.plot (xaxis, log10 (the_sum)*10) > > where xaxis is numpy array, and log10(the_sum)*10 is my own class that is > > a valid python sequence (it is a c++ wrapper around boost::ublas), gives: > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/pyplot.py", line 2096, in plot > > ret = gca().plot(*args, **kwargs) > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/axes.py", line 3277, in plot > > for line in self._get_lines(*args, **kwargs): > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/axes.py", line 394, in _grab_next_args > > for seg in self._plot_2_args(remaining, **kwargs): > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/axes.py", line 267, in _plot_2_args > > if is_string_like(tup2[1]): > > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > > x86_64.egg/matplotlib/cbook.py", line 277, in is_string_like > > try: obj + '' > > RuntimeError: check:: failed > > > > If I convert the 2nd arg to array, it works: > >pylab.plot (xaxis, np.array(log10 (the_sum)*10)) > > > > Doesn't plot support arbitrary sequences? > > Partial correction to my previous post: > is_string_like looks for a TypeError or ValueError to be raised. I > suppose we could look for any exception, since your object raises a > RuntimeError. > > I wonder whether it would be equally effective and more robust if the > test were > > try: '' + obj > > instead of the other way around. > > Eric IIRC, boost::python translates c++ exceptions to RuntimeError. If true, then it's a lot easier to fix matplotlib than to fix boost::python wrappers. -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot problem
Neal Becker wrote: > pylab.plot (xaxis, log10 (the_sum)*10) > where xaxis is numpy array, and log10(the_sum)*10 is my own class that is a > valid python sequence (it is a c++ wrapper around boost::ublas), gives: > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/pyplot.py", line 2096, in plot > ret = gca().plot(*args, **kwargs) > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/axes.py", line 3277, in plot > for line in self._get_lines(*args, **kwargs): > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/axes.py", line 394, in _grab_next_args > for seg in self._plot_2_args(remaining, **kwargs): > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/axes.py", line 267, in _plot_2_args > if is_string_like(tup2[1]): > File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- > x86_64.egg/matplotlib/cbook.py", line 277, in is_string_like > try: obj + '' > RuntimeError: check:: failed > > If I convert the 2nd arg to array, it works: >pylab.plot (xaxis, np.array(log10 (the_sum)*10)) > > Doesn't plot support arbitrary sequences? Partial correction to my previous post: is_string_like looks for a TypeError or ValueError to be raised. I suppose we could look for any exception, since your object raises a RuntimeError. I wonder whether it would be equally effective and more robust if the test were try: '' + obj instead of the other way around. Eric -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot problem
Neal Becker wrote: > On Friday 16 January 2009, Eric Firing wrote: >> Neal Becker wrote: >>> pylab.plot (xaxis, log10 (the_sum)*10) >>> where xaxis is numpy array, and log10(the_sum)*10 is my own class that is >>> a valid python sequence (it is a c++ wrapper around boost::ublas), gives: >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/pyplot.py", line 2096, in plot >>> ret = gca().plot(*args, **kwargs) >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/axes.py", line 3277, in plot >>> for line in self._get_lines(*args, **kwargs): >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/axes.py", line 394, in _grab_next_args >>> for seg in self._plot_2_args(remaining, **kwargs): >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/axes.py", line 267, in _plot_2_args >>> if is_string_like(tup2[1]): >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/cbook.py", line 277, in is_string_like >>> try: obj + '' >>> RuntimeError: check:: failed >>> >>> If I convert the 2nd arg to array, it works: >>>pylab.plot (xaxis, np.array(log10 (the_sum)*10)) >>> >>> Doesn't plot support arbitrary sequences? >> Not *completely* arbitrary, evidently. It has to raise a Python >> exception when an invalid operation (specifically, adding an empty >> string) is attempted. Apparently your wrapper is not doing this. This >> is the duck-typing check for a string that mpl has used from early times. >> >> Eric > Is it possible that this could be better? I'm not sure what's happening > here, > but I think it is trying to see if my type can be a string first. It can, > but > that's not a good idea in this case. It should correctly support a sequence > (and iterator) protocol. Shouldn't matplotlib try that first? > No, it really needs to find out if it is a string, and a string is iterable, so a string-specific check is needed. Eric -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cmap from sepparate color values
Thanks for the quick reply John! Now it makes a lot more sense. The next dumb
question is what is SVN and where can I find more bout it?
John Hunter-4 wrote:
>
> On Fri, Jan 16, 2009 at 10:33 AM, antonv
> wrote:
>>
>> I have a series of 18 separate colors to create my cmap but I would like
>> to
>> convert that to a continuous map which interpolates all the other values
>> in
>> between my chosen colors. This should be really easy but I am not sure
>> how
>> can it be solved. Any ideas?
>
> Although the logic of the LinearSegmentedColormap takes some time to
> get your head around, it is pretty easy.
>
>
> http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LinearSegmentedColormap
>
>
> Here is an example:
>
> import numpy as np
> import matplotlib.pyplot as plt
> import matplotlib.colors as mcolors
> import matplotlib.cm as cm
> colors = 'red', 'green', 'blue', 'yellow', 'orange'
>
> ncolors = len(colors)
>
> vals = np.linspace(0., 1., ncolors)
>
> cdict = dict(red=[], green=[], blue=[])
> for val, color in zip(vals, colors):
> r,g,b = mcolors.colorConverter.to_rgb(color)
> cdict['red'].append((val, r, r))
> cdict['green'].append((val, g, g))
> cdict['blue'].append((val, b, b))
>
> cmap = mcolors.LinearSegmentedColormap('mycolors', cdict)
>
>
> x = np.arange(1.).reshape((100,100))
>
> plt.imshow(x, cmap=cmap)
>
> plt.show()
>
> See also
> http://matplotlib.sourceforge.net/examples/pylab_examples/custom_cmap.html.
> I just added a function to svn to support this, so with svn you can
> do
>
>
> colors = 'red', 'gray', 'green'
> cmap = mcolors.LinearSegmentedColormap.from_list('mycolors', colors)
> X, Y = np.meshgrid(np.arange(10), np.arange(10))
> plt.imshow(X+Y, cmap=cmap)
>
> JDH
>
> --
> This SF.net email is sponsored by:
> SourcForge Community
> SourceForge wants to tell your story.
> http://p.sf.net/sfu/sf-spreadtheword
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
--
View this message in context:
http://www.nabble.com/cmap-from-sepparate-color-values-tp21503197p21512920.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
--
This SF.net email is sponsored by:
SourcForge Community
SourceForge wants to tell your story.
http://p.sf.net/sfu/sf-spreadtheword
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] plot problem
Neal Becker wrote: > On Friday 16 January 2009, Eric Firing wrote: >> Neal Becker wrote: >>> pylab.plot (xaxis, log10 (the_sum)*10) >>> where xaxis is numpy array, and log10(the_sum)*10 is my own class that is >>> a valid python sequence (it is a c++ wrapper around boost::ublas), gives: >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/pyplot.py", line 2096, in plot >>> ret = gca().plot(*args, **kwargs) >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/axes.py", line 3277, in plot >>> for line in self._get_lines(*args, **kwargs): >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/axes.py", line 394, in _grab_next_args >>> for seg in self._plot_2_args(remaining, **kwargs): >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/axes.py", line 267, in _plot_2_args >>> if is_string_like(tup2[1]): >>> File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux- >>> x86_64.egg/matplotlib/cbook.py", line 277, in is_string_like >>> try: obj + '' >>> RuntimeError: check:: failed >>> >>> If I convert the 2nd arg to array, it works: >>>pylab.plot (xaxis, np.array(log10 (the_sum)*10)) >>> >>> Doesn't plot support arbitrary sequences? >> Partial correction to my previous post: >> is_string_like looks for a TypeError or ValueError to be raised. I >> suppose we could look for any exception, since your object raises a >> RuntimeError. >> >> I wonder whether it would be equally effective and more robust if the >> test were >> >> try: '' + obj >> >> instead of the other way around. >> >> Eric > > IIRC, boost::python translates c++ exceptions to RuntimeError. If true, then > it's a lot easier to fix matplotlib than to fix boost::python wrappers. After poking around a little, I conclude that there is nothing gained by having is_string_like look for particular exceptions, so I will relax that, which should solve your problem with no negative consequences for anything else. I've committed the change to the 98.5 maintenance branch, but I'm having trouble with svnmerge, so I don't know how long it will take to get it into the trunk. Eric -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cmap from sepparate color values
antonv wrote:
> Thanks for the quick reply John! Now it makes a lot more sense. The next dumb
> question is what is SVN and where can I find more bout it?
http://sourceforge.net/svn/?group_id=80706
http://subversion.tigris.org/
Eric
>
>
> John Hunter-4 wrote:
>> On Fri, Jan 16, 2009 at 10:33 AM, antonv
>> wrote:
>>> I have a series of 18 separate colors to create my cmap but I would like
>>> to
>>> convert that to a continuous map which interpolates all the other values
>>> in
>>> between my chosen colors. This should be really easy but I am not sure
>>> how
>>> can it be solved. Any ideas?
>> Although the logic of the LinearSegmentedColormap takes some time to
>> get your head around, it is pretty easy.
>>
>>
>> http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LinearSegmentedColormap
>>
>>
>> Here is an example:
>>
>> import numpy as np
>> import matplotlib.pyplot as plt
>> import matplotlib.colors as mcolors
>> import matplotlib.cm as cm
>> colors = 'red', 'green', 'blue', 'yellow', 'orange'
>>
>> ncolors = len(colors)
>>
>> vals = np.linspace(0., 1., ncolors)
>>
>> cdict = dict(red=[], green=[], blue=[])
>> for val, color in zip(vals, colors):
>> r,g,b = mcolors.colorConverter.to_rgb(color)
>> cdict['red'].append((val, r, r))
>> cdict['green'].append((val, g, g))
>> cdict['blue'].append((val, b, b))
>>
>> cmap = mcolors.LinearSegmentedColormap('mycolors', cdict)
>>
>>
>> x = np.arange(1.).reshape((100,100))
>>
>> plt.imshow(x, cmap=cmap)
>>
>> plt.show()
>>
>> See also
>> http://matplotlib.sourceforge.net/examples/pylab_examples/custom_cmap.html.
>> I just added a function to svn to support this, so with svn you can
>> do
>>
>>
>> colors = 'red', 'gray', 'green'
>> cmap = mcolors.LinearSegmentedColormap.from_list('mycolors', colors)
>> X, Y = np.meshgrid(np.arange(10), np.arange(10))
>> plt.imshow(X+Y, cmap=cmap)
>>
>> JDH
>>
>> --
>> This SF.net email is sponsored by:
>> SourcForge Community
>> SourceForge wants to tell your story.
>> http://p.sf.net/sfu/sf-spreadtheword
>> ___
>> Matplotlib-users mailing list
>> Matplotlib-users@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
--
This SF.net email is sponsored by:
SourcForge Community
SourceForge wants to tell your story.
http://p.sf.net/sfu/sf-spreadtheword
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cmap from sepparate color values
Thanks again! That looks cool and seems that it can be used it to a lot of
other projects I have going on!
Anton
efiring wrote:
>
> antonv wrote:
>> Thanks for the quick reply John! Now it makes a lot more sense. The next
>> dumb
>> question is what is SVN and where can I find more bout it?
>
> http://sourceforge.net/svn/?group_id=80706
> http://subversion.tigris.org/
>
> Eric
>
>>
>>
>> John Hunter-4 wrote:
>>> On Fri, Jan 16, 2009 at 10:33 AM, antonv
>>> wrote:
I have a series of 18 separate colors to create my cmap but I would
like
to
convert that to a continuous map which interpolates all the other
values
in
between my chosen colors. This should be really easy but I am not sure
how
can it be solved. Any ideas?
>>> Although the logic of the LinearSegmentedColormap takes some time to
>>> get your head around, it is pretty easy.
>>>
>>>
>>> http://matplotlib.sourceforge.net/api/colors_api.html#matplotlib.colors.LinearSegmentedColormap
>>>
>>>
>>> Here is an example:
>>>
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> import matplotlib.colors as mcolors
>>> import matplotlib.cm as cm
>>> colors = 'red', 'green', 'blue', 'yellow', 'orange'
>>>
>>> ncolors = len(colors)
>>>
>>> vals = np.linspace(0., 1., ncolors)
>>>
>>> cdict = dict(red=[], green=[], blue=[])
>>> for val, color in zip(vals, colors):
>>> r,g,b = mcolors.colorConverter.to_rgb(color)
>>> cdict['red'].append((val, r, r))
>>> cdict['green'].append((val, g, g))
>>> cdict['blue'].append((val, b, b))
>>>
>>> cmap = mcolors.LinearSegmentedColormap('mycolors', cdict)
>>>
>>>
>>> x = np.arange(1.).reshape((100,100))
>>>
>>> plt.imshow(x, cmap=cmap)
>>>
>>> plt.show()
>>>
>>> See also
>>> http://matplotlib.sourceforge.net/examples/pylab_examples/custom_cmap.html.
>>> I just added a function to svn to support this, so with svn you can
>>> do
>>>
>>>
>>> colors = 'red', 'gray', 'green'
>>> cmap = mcolors.LinearSegmentedColormap.from_list('mycolors', colors)
>>> X, Y = np.meshgrid(np.arange(10), np.arange(10))
>>> plt.imshow(X+Y, cmap=cmap)
>>>
>>> JDH
>>>
>>> --
>>> This SF.net email is sponsored by:
>>> SourcForge Community
>>> SourceForge wants to tell your story.
>>> http://p.sf.net/sfu/sf-spreadtheword
>>> ___
>>> Matplotlib-users mailing list
>>> Matplotlib-users@lists.sourceforge.net
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>
>
> --
> This SF.net email is sponsored by:
> SourcForge Community
> SourceForge wants to tell your story.
> http://p.sf.net/sfu/sf-spreadtheword
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
--
View this message in context:
http://www.nabble.com/cmap-from-sepparate-color-values-tp21503197p21513073.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
--
This SF.net email is sponsored by:
SourcForge Community
SourceForge wants to tell your story.
http://p.sf.net/sfu/sf-spreadtheword
___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] cmap from sepparate color values
antonv wrote: > Thanks again! That looks cool and seems that it can be used it to a lot of > other projects I have going on! If you are looking for something to use for your own projects, I recommend not svn but one of the more modern distributed vcs systems: mercurial (hg), bzr, or git. I use and like mercurial: http://www.selenic.com/mercurial/wiki/ Eric > > Anton > > > efiring wrote: >> antonv wrote: >>> Thanks for the quick reply John! Now it makes a lot more sense. The next >>> dumb >>> question is what is SVN and where can I find more bout it? >> http://sourceforge.net/svn/?group_id=80706 >> http://subversion.tigris.org/ -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] NOAA .bull file parsing
Dear all, I know this is not related to matplotlib but this seems to be the only place where I found people that have knowledge of both NOAA data and python so please bear with me. The .bull file that NOAA gives for upload is an ascii file formatted for human readability but it creates a lot of issues when I am trying to parse it. Here is a link to one of these files: ftp://ftpprd.ncep.noaa.gov/pub/data/nccf/com/wave/prod/wave.20090117/bulls.t00z/akw.46001.bull Do you have any idea on how to extract the data there in columns for plotting with matplotlib? If you look at the file you'll notice that there is both a header and a footer for the file that needs to be eliminated and the main columns have sub columns also. Another issue is that in a column there is missing data that should keep it's relationship with the time column. And the last issue, some of the values there are preceded by a "*" sign that should just be removed too. Any ideas are greatly appreciated! Anton -- View this message in context: http://www.nabble.com/NOAA-.bull-file-parsing-tp21513800p21513800.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- This SF.net email is sponsored by: SourcForge Community SourceForge wants to tell your story. http://p.sf.net/sfu/sf-spreadtheword ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
