hi eric,
i tried your suggestion but it still did not work. here's a code snippet
that demonstrates what i am trying to do:
import matplotlib.pyplot as
plt
from scipy import
*
my_fig = plt.figure(figsize=(7,6),
dpi=100)
plot_ax1 =
plt.subplot(3,1,1)
a =
rand(100)
b = rand(100) +
rand()
plt.scatter(a,
b)
plot_ax1.set(xticklabels=[])
plot_ax1.set_aspect('equal',
adjustable='box')
plt.savefig('myplot.pdf')
when i run this, i get a small square scatter plot in the middle of the
page. i want this plot to be scaled to be bigger. if i remove the
set_aspect() call, the plot becomes bigger in the horizontal direction, and
is rectangular.
any ideas how to fix this? thanks again.
On Sun, May 24, 2009 at 9:24 PM, Eric Firing <efir...@hawaii.edu> wrote:
> per freem wrote:
>
>> hi all,
>>
>> i have a series of subplots organized in a column (3x1). i noticed that if
>> i plot them then matplotlib tends to make the x-axis long and the y-axis
>> short, so the plot is really rectangular. how can i make it more square? if
>> i do:
>>
>> f = figure(figsize=(7,6), dpi=100)
>> p1 = subplot(3,1,1)
>> plot(....)
>> # make axes square
>> p1.set_aspect('equal')
>>
>> p2 = subplot(3,1,2)
>> plot(....)
>> p2.set_aspect('equal')
>>
>> # etc for third subplot...
>>
>> then the subplots i get are square, but very small and squished compared
>> to the space they have in the figure (ie what i set in figsize.) how can i
>> fix this? i just want to have square axes, but have each subplot take up as
>> much space as it would if i didnt set square axes... it works fine for the
>> rectangular axes case.
>>
>
> Maybe what you are looking for is
> p1.set_aspect('equal', adjustable='datalim')
>
> It is not clear from your message, but try the modification above and see
> if it does what you want.
>
> Eric
>
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