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
|
3
(4) |
4
|
5
|
6
|
7
|
8
|
9
(4) |
10
(1) |
11
|
12
|
13
|
14
|
15
|
16
(4) |
17
(3) |
18
(3) |
19
|
20
|
21
|
22
|
23
|
24
(1) |
25
|
26
(1) |
27
|
28
(8) |
29
(4) |
30
(1) |
|
|
|
From: Mark V. <mar...@uc...> - 2015-09-03 21:04:09
|
This appears to be DPI dependent. Changing the last line of Richard's example to plt.savefig("grap.png") gives a PNG with a shadow similar to that generated by TkAgg. --Mark On 09/03/2015 01:17 PM, Sterling Smith wrote: > For those who wonder what he means: > on the left is TkAgg; on the right is png. > > -Sterling > > On Sep 3, 2015, at 1:13PM, Richard Stanton <st...@ha... > <mailto:st...@ha...>> wrote: > >> A quick follow-up: if I export to a jpg file, I get the same huge shadow. If I >> export to a PDF file, the shadow looks much more like it does on the screen. >> >> >>> On Sep 3, 2015, at 1:07 PM, Richard Stanton <st...@ha... >>> <mailto:st...@ha...>> wrote: >>> >>> I’m trying to create a pie chart for a presentation. If I turn on shadows, >>> they look fine on the screen (in an IPython notebook), but when I export the >>> file to a PNG file, the shadow is way larger, and looks pretty ugly. Is this >>> a bug? And is there a way to shrink the size of the shadow? >>> >>> Here’s some sample code that shows the problem: >>> >>> import matplotlib.pyplot as plt >>> numbers = [4380.0, 2474.0, 158] >>> explode=(0, 0, 0.5) >>> plt.pie(numbers, explode=explode,shadow=True) >>> plt.axis('equal') >>> plt.savefig(‘grap.png’, dpi=400) >>> >>> Thanks for any suggestions. >>> >>> By the way, I’m using Matplotlib version 1.4.3 with the Anaconda distribution >>> under OS X. >>> >>> Richard Stanton >> >> >> ------------------------------------------------------------------------------ >> Monitor Your Dynamic Infrastructure at Any Scale With Datadog! >> Get real-time metrics from all of your servers, apps and tools >> in one place. >> SourceForge users - Click here to start your Free Trial of Datadog now! >> http://pubads.g.doubleclick.net/gampad/clk?id=241902991&iu=/4140 >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > ------------------------------------------------------------------------------ > Monitor Your Dynamic Infrastructure at Any Scale With Datadog! > Get real-time metrics from all of your servers, apps and tools > in one place. > SourceForge users - Click here to start your Free Trial of Datadog now! > http://pubads.g.doubleclick.net/gampad/clk?id=241902991&iu=/4140 > > > > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |
From: Sterling S. <sm...@fu...> - 2015-09-03 20:50:40
|
For those who wonder what he means: on the left is TkAgg; on the right is png. -Sterling On Sep 3, 2015, at 1:13PM, Richard Stanton <st...@ha...> wrote: > A quick follow-up: if I export to a jpg file, I get the same huge shadow. If I export to a PDF file, the shadow looks much more like it does on the screen. > > >> On Sep 3, 2015, at 1:07 PM, Richard Stanton <st...@ha...> wrote: >> >> I’m trying to create a pie chart for a presentation. If I turn on shadows, they look fine on the screen (in an IPython notebook), but when I export the file to a PNG file, the shadow is way larger, and looks pretty ugly. Is this a bug? And is there a way to shrink the size of the shadow? >> >> Here’s some sample code that shows the problem: >> >> import matplotlib.pyplot as plt >> numbers = [4380.0, 2474.0, 158] >> explode=(0, 0, 0.5) >> plt.pie(numbers, explode=explode,shadow=True) >> plt.axis('equal') >> plt.savefig(‘grap.png’, dpi=400) >> >> Thanks for any suggestions. >> >> By the way, I’m using Matplotlib version 1.4.3 with the Anaconda distribution under OS X. >> >> Richard Stanton > > > ------------------------------------------------------------------------------ > Monitor Your Dynamic Infrastructure at Any Scale With Datadog! > Get real-time metrics from all of your servers, apps and tools > in one place. > SourceForge users - Click here to start your Free Trial of Datadog now! > http://pubads.g.doubleclick.net/gampad/clk?id=241902991&iu=/4140 > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |
From: Richard S. <st...@ha...> - 2015-09-03 20:13:41
|
A quick follow-up: if I export to a jpg file, I get the same huge shadow. If I export to a PDF file, the shadow looks much more like it does on the screen. > On Sep 3, 2015, at 1:07 PM, Richard Stanton <st...@ha...> wrote: > > I’m trying to create a pie chart for a presentation. If I turn on shadows, they look fine on the screen (in an IPython notebook), but when I export the file to a PNG file, the shadow is way larger, and looks pretty ugly. Is this a bug? And is there a way to shrink the size of the shadow? > > Here’s some sample code that shows the problem: > > import matplotlib.pyplot as plt > numbers = [4380.0, 2474.0, 158] > explode=(0, 0, 0.5) > plt.pie(numbers, explode=explode,shadow=True) > plt.axis('equal') > plt.savefig(‘grap.png’, dpi=400) > > Thanks for any suggestions. > > By the way, I’m using Matplotlib version 1.4.3 with the Anaconda distribution under OS X. > > Richard Stanton |
From: Richard S. <st...@ha...> - 2015-09-03 20:07:42
|
I’m trying to create a pie chart for a presentation. If I turn on shadows, they look fine on the screen (in an IPython notebook), but when I export the file to a PNG file, the shadow is way larger, and looks pretty ugly. Is this a bug? And is there a way to shrink the size of the shadow? Here’s some sample code that shows the problem: import matplotlib.pyplot as plt numbers = [4380.0, 2474.0, 158] explode=(0, 0, 0.5) plt.pie(numbers, explode=explode,shadow=True) plt.axis('equal') plt.savefig(‘grap.png’, dpi=400) Thanks for any suggestions. By the way, I’m using Matplotlib version 1.4.3 with the Anaconda distribution under OS X. Richard Stanton |