Matplotlib子图

Question

I have the following code that works to produce two charts, but I would like to use subplots to put them side by side. How can I do that?

p1 = df1.var1.value_counts(normalize=True).sort_index()
p2 = df2.var2.value_counts(normalize=True).sort_index()

p2.plot(kind='barh').invert_yaxis()
plt.xlim(0, 0.5)
plt.title('my title1')
plt.xlabel('% of Users')
plt.ylabel('my ylabel 1')
plt.show()

p1.plot(kind='barh').invert_yaxis()
plt.xlim(0, 0.5)
plt.title('my title 2')
plt.xlabel('% of Users')
plt.ylabel('my ylabel 2')
plt.show()

I started using add_subplot with the following code, but not sure how I can add the the above code into fig. Any help would be appreciated!

fig = plt.figure()

fig1 = fig.add_subplot(121)
fig2 = fig.add_subplot(122)

Answer 1

Create a figure with two subplots

fig, axs = plt.subplots(ncols=2)

and plot in the according axes objects, eg,

p2.plot(kind='barh', ax=axs[0]).invert_yaxis()
axs[0].set_xlim(0, 0.5)
axs[0].set_title('my title1')
axs[0].set_xlabel('% of Users')
axs[0].set_ylabel('my ylabel 1')

and accordingly axs[1] for p1 .

Note that the axes object updates, eg, the label by the method ax.set_xlabel instead of plt.xlabel . You can find more information here: https://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes .

Hope this helps.