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:
axi.xaxis.tick_bottom()
axi.yaxis.tick_left()
axi.spines['right'].set_visible(False)
axi.spines['top'].set_visible(False)
axi.spines['left'].set_bounds(0, 1)
axi.spines['bottom'].set_bounds(0, 1)
axi.yaxis.set_ticks(np.linspace(0,1,5))
axi.yaxis.set_ticklabels(np.linspace(0,1,5))
axi.xaxis.set_ticks(np.linspace(0,1,3))
axi.xaxis.set_ticklabels(np.linspace(0,1,3))
if i > 0:
axi.set_frame_on(False)
axi.plot(np.random.rand(10), np.random.rand(10))
On Nov 27, 2014, at 4:55 PM, Bala subramanian <bala.biophys...@gmail.com> 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 are depicted in
> single plot. I want to make a similar one. Kindly give me some insights on
> how i can make it with mpl, if anyone have achieved making it with mpl.
>
> Thanks in advance,
> Bala
>
>
> --
> C. Balasubramanian
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