python pandas DataFrame subplot in columns and rows

问题

I would like to produce a subplot from data 4 column DataFrame into 2 rows and 2 columns

df =pd.DataFrame(np.random.randn(6,4),index=pd.date_range('1/1/2000',periods=6, freq='1h'))

However below will give a 4 row and 1 column plot

 df.plot(use_index=False, title=f, subplots=True, sharey=True, figsize=(8, 6))

Thanks.

回答1:

cplcloud's answer works, but following code will give you a bit more structure so that you can start configuring more if you do not need the loop.

fig, axes = plt.subplots(nrows=2, ncols=2)
fig.set_figheight(6)
fig.set_figwidth(8)
df[0].plot(ax=axes[0,0], style='r', label='Series'); axes[0,0].set_title(0)
df[1].plot(ax=axes[0,1]); axes[0,1].set_title(1)
df[2].plot(ax=axes[1,0]); axes[1,0].set_title(2)
df[3].plot(ax=axes[1,1]); axes[1,1].set_title(3)
fig.tight_layout()

Added some example on axis 0 to show how you can further configure it.

回答2:

In current versions of Pandas, DataFrame.plot features the layout keyword for this purpose.

df.plot(subplots=True, layout=(2,2), ...)

来源：https://stackoverflow.com/questions/14888473/python-pandas-dataframe-subplot-in-columns-and-rows