pandas 在 Matplotlib 中旋转现有轴标签
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Rotate existing axis labels in Matplotlib
提问by Chris
I start with tree plots:
我从树图开始：
df = pd.DataFrame([1,20,3],[2,30,4],[3,40,5],columns=['mean','size','stat'])
fig,[ax1,ax2,ax3] = plt.subplots(1, 3, sharey=True)
ax1.barh(np.arange(len(df)),df['mean'].values, align='center')
ax2.barh(np.arange(len(df)),df['size'].values, align='center')
ax3.barh(np.arange(len(df)),df['stat'].values, align='center')
Is there a way to rotate the x axis labels on all three plots?
有没有办法在所有三个图上旋转 x 轴标签？
回答by CPBL
When you're done plotting, you can just loop over each xticklabel:
完成绘图后，您可以循环遍历每个 xticklabel：
for ax in [ax1,ax2,ax3]:
for label in ax.get_xticklabels():
label.set_rotation(90)
回答by onur güng?r
df = pd.DataFrame([1,20,3],[2,30,4],[3,40,5],columns=['mean','size','stat'])
fig,[ax1,ax2,ax3] = plt.subplots(1, 3, sharey=True)
plt.subplot(1,3,1)
barh(np.arange(len(df)),df['mean'].values, align='center')
locs, labels = xticks()
xticks(locs, labels, rotation="90")
plt.subplot(1,3,2)
barh(np.arange(len(df)),df['size'].values, align='center')
locs, labels = xticks()
xticks(locs, labels, rotation="90")
plt.subplot(1,3,3)
barh(np.arange(len(df)),df['stat'].values, align='center')
locs, labels = xticks()
xticks(locs, labels, rotation="90")
Should do the trick.
应该做的伎俩。
回答by Rmobdick
You can do it for each ax your are creating:
您可以为正在创建的每个斧头执行此操作：
ax1.xaxis.set_tick_params(rotation=90)
ax2.xaxis.set_tick_params(rotation=90)
ax3.xaxis.set_tick_params(rotation=90)
or you do it inside a for before showing the plot if you are building your axs using subplots:
或者，如果您使用子图构建轴，则在显示图之前在 for 中执行此操作：
for s_ax in ax:
s_ax.xaxis.set_tick_params(rotation=90)
回答by hui chen
Here is another more generic solution: you can just use axes.flatten() which will provide you with much more flexibility when you have higher dimensions.
这是另一个更通用的解决方案：您可以只使用axes.flatten()，当您有更高的维度时，它将为您提供更大的灵活性。
for i, ax in enumerate(axes.flatten()):
for i, ax in enumerate(axes.flatten()):
sns.countplot(x= cats.iloc[:, i], orient='v', ax=ax)
for label in ax.get_xticklabels():
# only rotate one subplot if necessary.
if i==3:
label.set_rotation(90)
fig.tight_layout()
fig.tight_layout()
