matplotlib子图的动态编号 [英] matplotlib dynamic number of subplot

问题描述

我正在尝试使用 matplotlib 获取一个子图，并在运行时计算出 subplots 的数量(因为 pnum 在下面的示例中有所不同)

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="$d_{xy}$")

很明显，此示例仅在pnum = 2时有效.所以，我需要做其他事情.

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

我已经检查了这个问题的可接受答案，但这是在所有情节中绘制相同的内容.

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

推荐答案

要创建动态数量的子图，您可以决定不单独指定坐标轴，而是指定坐标轴数组

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 然后是一个 numpy 数组.然后，您可以为循环中的每个轴做一些事情.

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(...)

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