matplotlib dynamic number of subplot

Question

I am trying to get a subplot using matplotlib, with number of subplots calculated in runtime (as pnum varies in the example below)

  pnum = len(args.m)
  f, (ax1, ax2) = plt.subplots(pnum, sharex=True, sharey=True)
  ax1.plot(x,ptp, "#757578",label="Total")
  ax2.fill_between(x,dxyp,facecolor="C0", label="$d_{xy}$")

This example, obviously, only work, when pnum=2. So, I need to do some thing else.

I have checked the accepted answer of this question, but this is plotting same thing in all the plots.

So how would you determine what should be plotted to each subplot if not by using a loop, like in the linked question? — ImportanceOfBeingErnest
– ImportanceOfBeingErnest, Commented May 24, 2017 at 13:18

ImportanceOfBeingErnest · Accepted Answer · 2017-05-24 13:27:29Z

2

To create a dynamic number of subplots you may decide not to specify the axes individually, but as an axes array

pnum = len(args.m)
fig, ax_arr = plt.subplots(pnum, sharex=True, sharey=True)

ax_arr is then a numpy array. You can then do something for each axes in a loop.

for ax in ax_arr.flatten():
    ax.plot(...)

edited May 24, 2017 at 13:27

answered May 24, 2017 at 13:22

ImportanceOfBeingErnest

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1 Comment

BaRud Over a year ago

where ax_arr is a list?

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