On 2014/11/27, 4:55 AM, Bala subramanian wrote:
> Friends,
>
> I want to make multiple graphs on a single axes. As an example, i am
> pasting below an article where it has been shown.
>
> http://www.ncbi.nlm.nih.gov/pubmed/23403925
>
> My plot of interest is *Figure7B*, where multiple distribution
Check out the third example in the gallery:
Gallery Link:
http://matplotlib.org/gallery.html
Direct Link:
http://matplotlib.org/examples/lines_bars_and_markers/fill_demo_features.html
On Thu, Nov 27, 2014 at 6:55 AM, Bala subramanian wrote:
> Friends,
>
> I want to make multiple graphs on a sin
you could go with something like this:
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots(1, 10, figsize=(10,3))
fig.subplots_adjust(wspace=0)
for i,axi in enumerate(ax):
axi.axis((0,1,0,1))
axi.xaxis.set_ticks([])
axi.yaxis.set_ticks([])
if i is 0:
Friends,
I want to make multiple graphs on a single axes. As an example, i am
pasting below an article where it has been shown.
http://www.ncbi.nlm.nih.gov/pubmed/23403925
My plot of interest is *Figure7B*, where multiple distribution are depicted
in single plot. I want to make a similar one. Ki
Sandro Tosi schrieb:
> On Tue, May 19, 2009 at 12:54, wrote:
>> Could you help me with plotting the columns of a matrix vs it's index in 1
>> figure. S if i have an m *n matrix i have to have n plots in 1 figure.
>
> simply issue multiple times "plot()" with the give information, then
> call pyp
you can use
-
from pylab import plotfile, show
plotfile("filename", (0,1,2,3,4,5,6)) # for a 7 column data
show()
--
cheers,
Abhi
On Tue, May 19, 2009 at 12:54 PM, wrote:
>
> Dear matplotLib Users,
>
> Could you help me with plotting the columns of a matrix vs it's in
On Tue, May 19, 2009 at 12:54, wrote:
> Could you help me with plotting the columns of a matrix vs it's index in 1
> figure. S if i have an m *n matrix i have to have n plots in 1 figure.
simply issue multiple times "plot()" with the give information, then
call pyplot.show(); something like
i
Dear matplotLib Users,
Could you help me with plotting the columns of a matrix vs it's index in 1
figure. S if i have an m *n matrix i have to have n plots in 1 figure.
Regards,
Sandeep Prasad
Tata Consultancy Services
Plot No 1, Survey No. 64/2, Software Units Layout
Serilingampally Mandal, Mad
Hello,
>How can I do this using mpl and wx backend? Do you recommend using
>threading or forking plots as separate processes ?
None of the above is necessary.
Add this to imports:
import matplotlib
matplotlib.use('WXAgg')
import matplotlib.cm as cm
from matplotlib.backends.backend_wxagg import
bump ..
On Thu, Jul 31, 2008 at 11:02 AM, signal seeker <[EMAIL PROTECTED]>wrote:
> Hi,
>
> I have couple of applications in which I have to generate multiple plots
> interactively using the wx backend and wanted to know the best
> approach to take for this. I did search the list for previous
> d
Hi,
I have couple of applications in which I have to generate multiple plots
interactively using the wx backend and wanted to know the best
approach to take for this. I did search the list for previous
discussions on this subject, but the approach to take is still
unfortunately not 100% clear to m
Dear Experts,
When plotting multiple lines, is there a way to have matplotlib
automatically make the lines look different using something other than color
to distinguish the lines? For example, it would be nice if I could issue
multiple plot commands (with hold=True) and have the lines automatica
On 3/16/07, Niklas Saers <[EMAIL PROTECTED]> wrote:
> Hi,
> I'm quite new to Matplot. When issuing show() from Python 2.5 under
> OS X I get a nice menu bar at the bottom with home, left, right etc.
> How can I use these? I tried the different examples, and there are
> plenty of examples that open
Hi,
I'm quite new to Matplot. When issuing show() from Python 2.5 under
OS X I get a nice menu bar at the bottom with home, left, right etc.
How can I use these? I tried the different examples, and there are
plenty of examples that open multiple windows (such as
legend_auto.py) and that put
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