如何管理熊猫的子图？

Question

My DataFrame is:

df = pd.DataFrame({'A': range(0,-10,-1), 'B': range(10,20), 'C': range(10,30,2)})

and plot:

df[['A','B','C']].plot(subplots=True, sharex=True)

I get one column with 3 subplots, each even height.

How to plot it this way that I have only two subplots where 'A' is in upper one and 'B' and 'C' are in lower and lower graph's height is different than height of graph 'A' (x axis is shared)?

Answer 1

Use subplots with gridspec_kw parmater to setup your grid then use the ax paramter in pandas plot to use those axes defined in your subplots statement:

f, ax = plt.subplots(2,2, gridspec_kw={'height_ratios':[1,2]})
df[['A','B','C']].plot(subplots=True, sharex=True, ax=[ax[0,0],ax[0,1],ax[1,0]])
ax[1,1].set_visible(False)

Output:

Answer 2

For clarity I post my modified code here:

f, ax = plt.subplots(2,1, sharex=True, gridspec_kw={'height_ratios':[1,3]})
f.subplots_adjust(hspace=0)
df[['A','B','C']].plot(subplots=True, ax=[ax[0],ax[1],ax[1]])

That will do it. Thanks.

Answer 3

I was able to do it with .subplot2grid() . Which only creates 3 plots as needed.

ax1 = plt.subplot2grid((3, 2), (0, 0), colspan=1)
ax2 = plt.subplot2grid((3, 2), (0, 1), colspan=1)
ax3 = plt.subplot2grid((3, 2), (1, 0), rowspan=2, sharex=ax1)
plt.setp(ax1.get_xticklabels(), visible=False)

ax1.plot(df['A'])
ax2.plot(df['B'], color='darkorange')
ax3.plot(df['C'], color='green')

Output: