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Showing 4 results of 4

From: Miriam D. <md...@am...> - 2013年03月25日 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年03月25日 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年03月25日 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年03月25日 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年03月25日 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年03月25日 15:46:10
Attachments: correlation.png
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.

Showing 4 results of 4

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