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
2
(9)
3
(4)
4
(3)
5
(10)
6
(2)
7
8
(5)
9
(3)
10
(8)
11
(18)
12
(4)
13
14
15
(1)
16
(2)
17
(11)
18
(5)
19
(2)
20
21
22
(3)
23
(1)
24
(2)
25
26
27
28
29
30
31
(3)



Showing 5 results of 5

From: Ryan N. <rne...@gm...> - 2014年12月08日 23:14:21
Final update.
I've done some more searching, and found a couple more things. It seems
that this problem occurs with the backend set to "Agg"
(`matplotlib.use("agg")), so it isn't related to the interactive backends.
In addition, the problem does not occur with a random Polygon object added
to an axes; however, I do see the problem when the same polygon is added to
the axes as a PolyCollection. See code below.
Ryan
#####
import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
from matplotlib.collections import PolyCollection
x = np.linspace(0, np.pi*2, 1000)
y = np.sin(x)
ax = plt.axes()
data =np.array([(0,0), (1,0), (1,1), (0,1)])
# These three lines work fine.
poly = plt.Polygon(data)
poly.set_linewidth(0)
ax.add_patch(poly)
# Comment out the three lines above
# Uncomment next three lines, does not work.
#col = PolyCollection([data])
#col.set_linewidth(0.0)
#ax.add_collection(col)
plt.axis([-2, 2, -2, 2])
plt.savefig('junk')
#####
On Mon, Dec 8, 2014 at 5:02 PM, Ryan Nelson <rne...@gm...> wrote:
> Update 2.
>
> I made a new Anaconda Python 2.7 environment and cycled through some
> different MPL versions. Everything works as I would expect in 1.4.0;
> however, moving to 1.4.1 is when the problem occurs. I see this same
> problem if I do the OO commands instead of pyplot.
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> x = np.linspace(0, np.pi*2, 1000)
> y = np.sin(x)
>
> ax = plt.axes()
> fill = ax.fill_between(x, y-0.1, y+0.1)
> fill.set_linewidth(0)
>
> plt.show()
>
> On Mon, Dec 8, 2014 at 3:38 PM, Ryan Nelson <rne...@gm...> wrote:
>
>> Update.
>>
>> This is a problem also in Anaconda Py3.4 with MPL 1.4.2, but it works
>> without a problem on MPL 1.4.0.
>>
>> Ryan
>>
>> On Mon, Dec 8, 2014 at 12:15 PM, Ryan Nelson <rne...@gm...>
>> wrote:
>>
>>> Hello all,
>>>
>>> I'm having an issue with fill_between. It seems that setting the keyword
>>> `linewidth=0` removes the entire patch, rather than the just the bounding
>>> lines. Example:
>>>
>>> ####
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>>
>>> x = np.linspace(0, 2*np.pi, 1000)
>>> y = np.sin(x)
>>>
>>> plt.fill_between(x, y-0.1, y+0.1, linewidth=0) # Setting this !=0 works
>>> fine
>>> plt.plot(x, y, 'k')
>>> plt.show()
>>> ####
>>>
>>> I'm using MPL version 1.4.2 on Python 2.7.8 (Gentoo Linux). This used to
>>> work fine before, but maybe there is a new way to do what...
>>>
>>> Thanks
>>>
>>> Ryan
>>>
>>>
>>>
>>
>
From: Ryan N. <rne...@gm...> - 2014年12月08日 22:02:51
Update 2.
I made a new Anaconda Python 2.7 environment and cycled through some
different MPL versions. Everything works as I would expect in 1.4.0;
however, moving to 1.4.1 is when the problem occurs. I see this same
problem if I do the OO commands instead of pyplot.
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, np.pi*2, 1000)
y = np.sin(x)
ax = plt.axes()
fill = ax.fill_between(x, y-0.1, y+0.1)
fill.set_linewidth(0)
plt.show()
On Mon, Dec 8, 2014 at 3:38 PM, Ryan Nelson <rne...@gm...> wrote:
> Update.
>
> This is a problem also in Anaconda Py3.4 with MPL 1.4.2, but it works
> without a problem on MPL 1.4.0.
>
> Ryan
>
> On Mon, Dec 8, 2014 at 12:15 PM, Ryan Nelson <rne...@gm...>
> wrote:
>
>> Hello all,
>>
>> I'm having an issue with fill_between. It seems that setting the keyword
>> `linewidth=0` removes the entire patch, rather than the just the bounding
>> lines. Example:
>>
>> ####
>> import numpy as np
>> import matplotlib.pyplot as plt
>>
>> x = np.linspace(0, 2*np.pi, 1000)
>> y = np.sin(x)
>>
>> plt.fill_between(x, y-0.1, y+0.1, linewidth=0) # Setting this !=0 works
>> fine
>> plt.plot(x, y, 'k')
>> plt.show()
>> ####
>>
>> I'm using MPL version 1.4.2 on Python 2.7.8 (Gentoo Linux). This used to
>> work fine before, but maybe there is a new way to do what...
>>
>> Thanks
>>
>> Ryan
>>
>>
>>
>
From: Ryan N. <rne...@gm...> - 2014年12月08日 20:38:58
Update.
This is a problem also in Anaconda Py3.4 with MPL 1.4.2, but it works
without a problem on MPL 1.4.0.
Ryan
On Mon, Dec 8, 2014 at 12:15 PM, Ryan Nelson <rne...@gm...> wrote:
> Hello all,
>
> I'm having an issue with fill_between. It seems that setting the keyword
> `linewidth=0` removes the entire patch, rather than the just the bounding
> lines. Example:
>
> ####
> import numpy as np
> import matplotlib.pyplot as plt
>
> x = np.linspace(0, 2*np.pi, 1000)
> y = np.sin(x)
>
> plt.fill_between(x, y-0.1, y+0.1, linewidth=0) # Setting this !=0 works
> fine
> plt.plot(x, y, 'k')
> plt.show()
> ####
>
> I'm using MPL version 1.4.2 on Python 2.7.8 (Gentoo Linux). This used to
> work fine before, but maybe there is a new way to do what...
>
> Thanks
>
> Ryan
>
>
>
From: ahtos <sy...@md...> - 2014年12月08日 19:55:36
zypper ~ apt-get 
It did install binaries from a Novell repository.
I checked for previous installed and I could not find anything.
cheers
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/error-import-matplotlib-pyplot-tp44297p44572.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
From: Ryan N. <rne...@gm...> - 2014年12月08日 17:15:51
Hello all,
I'm having an issue with fill_between. It seems that setting the keyword
`linewidth=0` removes the entire patch, rather than the just the bounding
lines. Example:
####
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 2*np.pi, 1000)
y = np.sin(x)
plt.fill_between(x, y-0.1, y+0.1, linewidth=0) # Setting this !=0 works fine
plt.plot(x, y, 'k')
plt.show()
####
I'm using MPL version 1.4.2 on Python 2.7.8 (Gentoo Linux). This used to
work fine before, but maybe there is a new way to do what...
Thanks
Ryan

Showing 5 results of 5

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) /