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) |
2
(6) |
|
3
|
4
(7) |
5
(10) |
6
(4) |
7
(17) |
8
(4) |
9
(1) |
|
10
(1) |
11
(19) |
12
(14) |
13
(8) |
14
(14) |
15
(9) |
16
(1) |
|
17
|
18
|
19
(8) |
20
(5) |
21
(7) |
22
(13) |
23
(1) |
|
24
|
25
(4) |
26
(2) |
27
(17) |
28
(13) |
29
(6) |
30
(6) |
|
31
(5) |
|
|
|
|
|
|
|
From: Miriam D. <md...@am...> - 2013-03-25 16:17:26
|
Hi Jon,
yes, this is what I am looking for. Now, the chart is like I've expected.
Thank you all! (...also for the quick response!)
Miriam D.
On 25/03/13 17:00, Jonathan Slavin wrote:
> Hi Miriam,
>
> This case is a simple one for setting the axis ratios. You want to set
> the aspect ratio to equal:
> gca().set_aspect('equal')
> after making your plot
>
> Jon
>
> On Mon, 2013-03-25 at 16:06 +0100, Miriam Degginger wrote:
>> Hi all,
>>
>> I am working on a correlation chart with pyplot for a monitoring web
>> tool. The plot is looking good, but only the strange resolution of axes
>> disturbs the view.
>>
>> In a simple correlation plot, e.g. I want to compare two temperature
>> sensors, I expect a line who divides the picture in two halves with an
>> angle of 45° (optimal correlation R²=1). That feels natural and you can
>> see whether the both sensors correlate or not without a deeper look at
>> the exact values. But pyplot shows me a chart, where the x-axis's tick
>> interval is larger (108 pixel) than the y-axis's tick interval (77
>> pixel). In attachment you can see my example.
>>
>> How can I manipulate the axes that they show the same pixel resolution?
>>
>> I hope I make my case clear. If more information is needed, please tell me.
>>
>> Thank you very much in advance!
>>
>> Miriam D.
|
|
From: Jonathan S. <js...@cf...> - 2013-03-25 16:00:58
|
Hi Miriam,
This case is a simple one for setting the axis ratios. You want to set
the aspect ratio to equal:
gca().set_aspect('equal')
after making your plot
Jon
On Mon, 2013-03-25 at 16:06 +0100, Miriam Degginger wrote:
> Hi all,
>
> I am working on a correlation chart with pyplot for a monitoring web
> tool. The plot is looking good, but only the strange resolution of axes
> disturbs the view.
>
> In a simple correlation plot, e.g. I want to compare two temperature
> sensors, I expect a line who divides the picture in two halves with an
> angle of 45° (optimal correlation R²=1). That feels natural and you can
> see whether the both sensors correlate or not without a deeper look at
> the exact values. But pyplot shows me a chart, where the x-axis's tick
> interval is larger (108 pixel) than the y-axis's tick interval (77
> pixel). In attachment you can see my example.
>
> How can I manipulate the axes that they show the same pixel resolution?
>
> I hope I make my case clear. If more information is needed, please tell me.
>
> Thank you very much in advance!
>
> Miriam D.
--
______________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
js...@cf... 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
______________________________________________________________
|
|
From: Benjamin R. <ben...@ou...> - 2013-03-25 15:58:11
|
On Mon, Mar 25, 2013 at 11:06 AM, Miriam Degginger <md...@am...> wrote:
> Hi all,
>
> I am working on a correlation chart with pyplot for a monitoring web tool.
> The plot is looking good, but only the strange resolution of axes disturbs
> the view.
>
> In a simple correlation plot, e.g. I want to compare two temperature
> sensors, I expect a line who divides the picture in two halves with an
> angle of 45° (optimal correlation R²=1). That feels natural and you can see
> whether the both sensors correlate or not without a deeper look at the
> exact values. But pyplot shows me a chart, where the x-axis's tick interval
> is larger (108 pixel) than the y-axis's tick interval (77 pixel). In
> attachment you can see my example.
>
> How can I manipulate the axes that they show the same pixel resolution?
>
> I hope I make my case clear. If more information is needed, please tell me.
>
> Thank you very much in advance!
>
> Miriam D.
>
>
Did you try:
ax.set_aspect('equal')
I don't know how you plotted your figure, so I don't know which matplotlib
objects you have at your disposal. My above example would operate on the
Axes object returned by a call to add_subplot() or plt.subplot().
Cheers!
Ben Root
|
|
From: Miriam D. <md...@am...> - 2013-03-25 15:46:10
|
Hi all, I am working on a correlation chart with pyplot for a monitoring web tool. The plot is looking good, but only the strange resolution of axes disturbs the view. In a simple correlation plot, e.g. I want to compare two temperature sensors, I expect a line who divides the picture in two halves with an angle of 45° (optimal correlation R²=1). That feels natural and you can see whether the both sensors correlate or not without a deeper look at the exact values. But pyplot shows me a chart, where the x-axis's tick interval is larger (108 pixel) than the y-axis's tick interval (77 pixel). In attachment you can see my example. How can I manipulate the axes that they show the same pixel resolution? I hope I make my case clear. If more information is needed, please tell me. Thank you very much in advance! Miriam D. |