On Tue, Aug 13, 2013 at 04:43:19PM +1000, Stephen Gibson wrote:
> Call 'figure()' for each plot.
Like this you mean?
import matplotlib.pyplot as plt
a=plt.figure()
a=plt.plot([1, 2], [1, 2])
plt.savefig('1.png', dpi=100)
a=plt.figure()
a=plt.plot([1, 2], [2,1])
plt.savefig('2.png', dpi=100)
T
On 2013/08/12 8:35 PM, vwf wrote:
> Thank you for you reply. I tried to create one after the other but when
> I did this my second plot was on top of the first one. The old plot
> needs to be "flushed" before starting the second one.
>
> This doesn't work:
> import matplotlib.pyplot as plt
> a=plt.
Call 'figure()' for each plot.
see: http://matplotlib.org/api/pyplot_api.html
matplotlib.pyplot.figure(/num=None/, /figsize=None/, /dpi=None/,
/facecolor=None/, /edgecolor=None/, /frameon=True/, /FigureClass='matplotlib.figure.Figure'>/, /**kwargs/)
Creates a new figure.
Parameter
Thank you for you reply. I tried to create one after the other but when
I did this my second plot was on top of the first one. The old plot
needs to be "flushed" before starting the second one.
This doesn't work:
import matplotlib.pyplot as plt
a=plt.plot([1, 2], [1, 2])
plt.savefig('1.png', dpi=1
Can you provide us with more information? You can create one plot, save it,
and then create the second, or is there something more specific you are
looking for?
On Mon, Aug 12, 2013 at 11:58 PM, vwf wrote:
> Hello,
>
> I need to create two plots (png files) in one go, two unrelated views of
> t
Hello,
I need to create two plots (png files) in one go, two unrelated views of
the same dataset. There is good documentation about subplots but I
cannot locate documentation about two plots. Can someone tell me how it
is done?
-
On Mon, Aug 12, 2013 at 7:01 AM, Michael Droettboom wrote:
> I propose to fix this by turning on interactive only when
> running at an interactive console.
I embed MPL more than other uses, and this sounds like a fine solution to me/
Thanks,
-Chris
--
Christopher Barker, Ph.D.
Oceanographe
I'm considering changing the behavior of the rcParam |interactive|
(which also can be set through |matplotlib.interactive()| and
|pyplot.ion()| and |pyplot.ioff()|). Currently, when setting
|interactive| to |True|, running any sort of matplotlib plot as a script
will fail to display a window. T
