SourceForge logo
SourceForge logo
Menu

matplotlib-users — Discussion related to using matplotlib

You can subscribe to this list here.

2003 Jan
Feb
Mar
Apr
May
(3)
Jun
Jul
Aug
(12)
Sep
(12)
Oct
(56)
Nov
(65)
Dec
(37)
2004 Jan
(59)
Feb
(78)
Mar
(153)
Apr
(205)
May
(184)
Jun
(123)
Jul
(171)
Aug
(156)
Sep
(190)
Oct
(120)
Nov
(154)
Dec
(223)
2005 Jan
(184)
Feb
(267)
Mar
(214)
Apr
(286)
May
(320)
Jun
(299)
Jul
(348)
Aug
(283)
Sep
(355)
Oct
(293)
Nov
(232)
Dec
(203)
2006 Jan
(352)
Feb
(358)
Mar
(403)
Apr
(313)
May
(165)
Jun
(281)
Jul
(316)
Aug
(228)
Sep
(279)
Oct
(243)
Nov
(315)
Dec
(345)
2007 Jan
(260)
Feb
(323)
Mar
(340)
Apr
(319)
May
(290)
Jun
(296)
Jul
(221)
Aug
(292)
Sep
(242)
Oct
(248)
Nov
(242)
Dec
(332)
2008 Jan
(312)
Feb
(359)
Mar
(454)
Apr
(287)
May
(340)
Jun
(450)
Jul
(403)
Aug
(324)
Sep
(349)
Oct
(385)
Nov
(363)
Dec
(437)
2009 Jan
(500)
Feb
(301)
Mar
(409)
Apr
(486)
May
(545)
Jun
(391)
Jul
(518)
Aug
(497)
Sep
(492)
Oct
(429)
Nov
(357)
Dec
(310)
2010 Jan
(371)
Feb
(657)
Mar
(519)
Apr
(432)
May
(312)
Jun
(416)
Jul
(477)
Aug
(386)
Sep
(419)
Oct
(435)
Nov
(320)
Dec
(202)
2011 Jan
(321)
Feb
(413)
Mar
(299)
Apr
(215)
May
(284)
Jun
(203)
Jul
(207)
Aug
(314)
Sep
(321)
Oct
(259)
Nov
(347)
Dec
(209)
2012 Jan
(322)
Feb
(414)
Mar
(377)
Apr
(179)
May
(173)
Jun
(234)
Jul
(295)
Aug
(239)
Sep
(276)
Oct
(355)
Nov
(144)
Dec
(108)
2013 Jan
(170)
Feb
(89)
Mar
(204)
Apr
(133)
May
(142)
Jun
(89)
Jul
(160)
Aug
(180)
Sep
(69)
Oct
(136)
Nov
(83)
Dec
(32)
2014 Jan
(71)
Feb
(90)
Mar
(161)
Apr
(117)
May
(78)
Jun
(94)
Jul
(60)
Aug
(83)
Sep
(102)
Oct
(132)
Nov
(154)
Dec
(96)
2015 Jan
(45)
Feb
(138)
Mar
(176)
Apr
(132)
May
(119)
Jun
(124)
Jul
(77)
Aug
(31)
Sep
(34)
Oct
(22)
Nov
(23)
Dec
(9)
2016 Jan
(26)
Feb
(17)
Mar
(10)
Apr
(8)
May
(4)
Jun
(8)
Jul
(6)
Aug
(5)
Sep
(9)
Oct
(4)
Nov
Dec
2017 Jan
(5)
Feb
(7)
Mar
(1)
Apr
(5)
May
Jun
(3)
Jul
(6)
Aug
(1)
Sep
Oct
(2)
Nov
(1)
Dec
2018 Jan
Feb
Mar
Apr
(1)
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2020 Jan
Feb
Mar
Apr
May
(1)
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2025 Jan
(1)
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
S M T W T F S




1
(17)
2
(3)
3
(2)
4
(11)
5
(8)
6
(22)
7
(16)
8
(9)
9
(14)
10
(1)
11
(8)
12
(5)
13
(7)
14
(10)
15
(28)
16
(8)
17
(20)
18
(6)
19
(5)
20
(15)
21
(8)
22
(7)
23
(14)
24
(10)
25
(6)
26
(8)
27
(9)
28
(11)
29
(13)
30
(20)

Showing 6 results of 6

From: Andreas M. <and...@gm...> - 2011年09月25日 16:25:36
Benjamin Root wrote:
> On Sunday, September 25, 2011, Andreas Matthias <and...@gm...>
> wrote:
>> Paul Ivanov wrote:
>> 
>>> On Sat, Sep 24, 2011 at 3:59 AM, Andreas Matthias
>>> <and...@gm...> wrote:
>>>> Hmm. I do not get a reversed list of axes. This is the output of
>>>> the example code below:
>>>> 
>>>> [<matplotlib.axes.AxesSubplot object at 0x8d8fb4c>,
> <matplotlib.axes.Axes object at 0x8f633ec>]
>>>> [<matplotlib.axes.AxesSubplot object at 0x8d8fb4c>,
> <matplotlib.axes.Axes object at 0x8f633ec>]
>>> 
>>> This doesn't seem right - for me that code results in:
>>> [<matplotlib.axes.AxesSubplot object at 0x16d7de70>,
>>> <matplotlib.axes.Axes object at 0x1b77c890>]
>>> [<matplotlib.axes.Axes object at 0x1b77c890>,
>>> <matplotlib.axes.AxesSubplot object at 0x16d7de70>]
>>> 
>>> can you try explicitly swapping your axes? f.axes =
>>> [f.axes[1],f.axes[0]] instead of the call to reverse?
>> 
>> Traceback (most recent call last):
>> File "t5.py", line 13, in <module>
>> f.axes = [f.axes[1],f.axes[0]]
>> AttributeError: can't set attribute
>> 
>> 
>> I've tried it with matplotlib 1.0.1 and 1.1.0. Same error message.
>> Python is 2.6.4.
>> I'm stumped ...
> 
> Sometimes installations can get mixed up. What does:
> 
> Import matplotlib
> print matplotlib.__version__
> print matplotlib.__file__
> 
> outputs for your v1.1.0 installation and your v1.0.1 install?
1.1.0
/home/andreas/local/python/lib/python2.6/site-packages/matplotlib/__init__.pyc
This is the right place. Then I removed matplotlib/ and
installed it again. But the error stays the same.
Ciao
Andreas
From: Benjamin R. <ben...@ou...> - 2011年09月25日 16:07:33
On Sunday, September 25, 2011, Andreas Matthias <and...@gm...>
wrote:
> Paul Ivanov wrote:
>
>> On Sat, Sep 24, 2011 at 3:59 AM, Andreas Matthias
>> <and...@gm...> wrote:
>>> Hmm. I do not get a reversed list of axes. This is the output of
>>> the example code below:
>>>
>>> [<matplotlib.axes.AxesSubplot object at 0x8d8fb4c>,
<matplotlib.axes.Axes object at 0x8f633ec>]
>>> [<matplotlib.axes.AxesSubplot object at 0x8d8fb4c>,
<matplotlib.axes.Axes object at 0x8f633ec>]
>>
>> This doesn't seem right - for me that code results in:
>> [<matplotlib.axes.AxesSubplot object at 0x16d7de70>,
>> <matplotlib.axes.Axes object at 0x1b77c890>]
>> [<matplotlib.axes.Axes object at 0x1b77c890>,
>> <matplotlib.axes.AxesSubplot object at 0x16d7de70>]
>>
>> can you try explicitly swapping your axes? f.axes =
>> [f.axes[1],f.axes[0]] instead of the call to reverse?
>
> Traceback (most recent call last):
> File "t5.py", line 13, in <module>
> f.axes = [f.axes[1],f.axes[0]]
> AttributeError: can't set attribute
>
>
> I've tried it with matplotlib 1.0.1 and 1.1.0. Same error message.
> Python is 2.6.4.
> I'm stumped ...
>
>
> Ciao
> Andreas
>
Sometimes installations can get mixed up. What does:
Import matplotlib
print matplotlib.__version__
print matplotlib.__file__
outputs for your v1.1.0 installation and your v1.0.1 install?
Ben Root
From: Andreas M. <and...@gm...> - 2011年09月25日 11:50:31
Paul Ivanov wrote:
> On Sat, Sep 24, 2011 at 3:59 AM, Andreas Matthias
> <and...@gm...> wrote:
>> Hmm. I do not get a reversed list of axes. This is the output of
>> the example code below:
>> 
>> [<matplotlib.axes.AxesSubplot object at 0x8d8fb4c>, <matplotlib.axes.Axes object at 0x8f633ec>]
>> [<matplotlib.axes.AxesSubplot object at 0x8d8fb4c>, <matplotlib.axes.Axes object at 0x8f633ec>]
> 
> This doesn't seem right - for me that code results in:
> [<matplotlib.axes.AxesSubplot object at 0x16d7de70>,
> <matplotlib.axes.Axes object at 0x1b77c890>]
> [<matplotlib.axes.Axes object at 0x1b77c890>,
> <matplotlib.axes.AxesSubplot object at 0x16d7de70>]
> 
> can you try explicitly swapping your axes? f.axes =
> [f.axes[1],f.axes[0]] instead of the call to reverse?
Traceback (most recent call last):
 File "t5.py", line 13, in <module>
 f.axes = [f.axes[1],f.axes[0]]
AttributeError: can't set attribute
I've tried it with matplotlib 1.0.1 and 1.1.0. Same error message.
Python is 2.6.4.
I'm stumped ...
Ciao
Andreas
From: <fdu...@gm...> - 2011年09月25日 11:00:04
Dear all,
Heatmap (like those on the page 
http://www2.warwick.ac.uk/fac/sci/moac/students/peter_cock/r/heatmap/) 
is a frequently used type of image in microarray data analysis. However, 
it seems there are no convenient functions in matplotlib to plot heatmap 
(please correct me if I was wrong), so I'm planning to write my own.
Let me take the heatmap by the link 
http://www2.warwick.ac.uk/fac/sci/moac/students/peter_cock/r/heatmap/scaled_color_key.png 
as an example, which is produced by R.
With my limited knowledge and expertise of matplotlib, I have the 
following questions and I hope you guys could help me.
1) I tend to use pcolor to draw the colormap in the central area. 
However, I've seen a lot of examples draw colormap with imshow.
 What's the difference between pcolor and imshow?
 Shall I use pcolor or imshow to produce the heatmap in the link above?
2) How to draw the dendrograms on the top and left of the colormap?
 I got hints from 
http://matplotlib.sourceforge.net/examples/axes_grid/scatter_hist.html 
on how to append axes to current plot, but I still have now idea how to 
draw the dengrograms.
3) How to draw the column side colormap (the smaller one) between the 
top dendrogram and the big colormap?
4) I can use colorbar to draw a colorbar, but how to place the colorbar 
on the topleft of the image just as the R heatmap does?
5) Any other suggestions on how to draw the heatmap?
Thanks and any help will be greatly appreciated.
Regards,
Jianfeng
From: <fdu...@gm...> - 2011年09月25日 10:37:53
 Dear all,
Heatmap (like those on the page 
http://www2.warwick.ac.uk/fac/sci/moac/students/peter_cock/r/heatmap/) 
is a frequently used type of image in microarray data analysis. However, 
it seems there are no convenient functions in matplotlib to plot heatmap 
(please correct me if I was wrong), so I'm planning to write my own.
Let me take the heatmap by the link 
http://www2.warwick.ac.uk/fac/sci/moac/students/peter_cock/r/heatmap/scaled_color_key.png 
as an example, which is produced by R.
With my limited knowledge and expertise of matplotlib, I have the 
following questions and I hope you guys could help me.
1) I tend to use pcolor to draw the colormap in the central area. 
However, I've seen a lot of examples draw colormap with imshow.
 What's the difference between pcolor and imshow?
 Shall I use pcolor or imshow to produce the heatmap in the link above?
2) How to draw the dendrograms on the top and left of the colormap?
 I got hints from 
http://matplotlib.sourceforge.net/examples/axes_grid/scatter_hist.html 
on how to append axes to current plot, but I still have now idea how to 
draw the dengrograms.
3) How to draw the column side colormap (the smaller one) between the 
top dendrogram and the big colormap?
4) I can use colorbar to draw a colorbar, but how to place the colorbar 
on the topleft of the image just as the R heatmap does?
5) Any other suggestions on how to draw the heatmap?
Thanks and any help will be greatly appreciated.
Regards,
Jianfeng
From: Paul I. <piv...@gm...> - 2011年09月25日 06:27:01
On Sat, Sep 24, 2011 at 3:59 AM, Andreas Matthias
<and...@gm...> wrote:
> Hmm. I do not get a reversed list of axes. This is the output of
> the example code below:
>
> [<matplotlib.axes.AxesSubplot object at 0x8d8fb4c>, <matplotlib.axes.Axes object at 0x8f633ec>]
> [<matplotlib.axes.AxesSubplot object at 0x8d8fb4c>, <matplotlib.axes.Axes object at 0x8f633ec>]
This doesn't seem right - for me that code results in:
[<matplotlib.axes.AxesSubplot object at 0x16d7de70>,
<matplotlib.axes.Axes object at 0x1b77c890>]
[<matplotlib.axes.Axes object at 0x1b77c890>,
<matplotlib.axes.AxesSubplot object at 0x16d7de70>]
can you try explicitly swapping your axes? f.axes =
[f.axes[1],f.axes[0]] instead of the call to reverse?
> BTW, what's matplotlib.axes.AxesSubplot? I couldn't find this class.
see SubplotBase class and subplot_class_factory function in matplotlib/axes.py
best,
--
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7

Showing 6 results of 6

Want the latest updates on software, tech news, and AI?
Get latest updates about software, tech news, and AI from SourceForge directly in your inbox once a month.
Thanks for helping keep SourceForge clean.
X





Briefly describe the problem (required):
Upload screenshot of ad (required):
Select a file, or drag & drop file here.
Screenshot instructions:

Click URL instructions:
Right-click on the ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies

Ad destination/click URL:

AltStyle によって変換されたページ (->オリジナル) /