子图线图中的 X 标记不同 python 图

Question

除了图形类型外，我对多个图形使用相同的代码。第一个子图的 X 刻度没问题，但如下图所示，其他两个子图的 X 刻度缩小了，即使图形线显示了确切的位置。可能的解决方案是什么？

# Library Loading
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap
import numpy as np
import pandas as pd


df_1 = pd.DataFrame({
    "A":[22.34,25.10,37.57,44.96,53.09],
    "B":[18.42,31.09,33.66,41.73,51.31],})

df_2 = pd.DataFrame({
    "A":[44.85,44.44,44.43,44.06,45.01],  
    "B":[48.46,44.59,43.51,44.42,45.38],})

df_3= pd.DataFrame({
    "A":[2.88,6.58,8.35,14.77,20.21],
    "B":[1.76,5.25,9.18,12.47,19.22],})


plt.figure(num=1)
fig, (ax,ax1,ax2) = plt.subplots(3,1,figsize=(8,12))
# twin_x = ax.twinx() # Create a pseudo axes based off of the original
fig.subplots_adjust(hspace=0.5)

#************** Graph in First row ************************
# Put the bar plot on the "primary y" via ax=ax
df_1[['A','B']]. \
plot(kind='bar',color=['purple','steelblue'], ax=ax, zorder=1,legend=True, width=.40)
ax.grid(True, zorder=0)
ax.set_axisbelow(True)
ax.set_xticklabels(('10', '20','30', '40', '50'),Rotation=360)

# X and Y axis label
ax.set_xlabel('Number of P',fontsize=12)
ax.set_ylabel('(%)',fontsize=12)

#************** Graph in Second row ************************
# Put the bar plot on the "primary y" via ax=ax
df_2[['A','B']]. \
plot(kind='line',color=['purple','steelblue'], ax=ax1, zorder=2,legend=True,marker='*')
ax1.grid(True, zorder=2)
ax1.set_axisbelow(True)
ax1.set_xticklabels(('10', '20','30', '40', '50'),Rotation=360)

# X and Y axis label
ax1.set_xlabel('Number of P',fontsize=12)
ax1.set_ylabel(' (%)',fontsize=12)

#************** Graph in Third row ************************
# Put the bar plot on the "primary y" via ax=ax
df_3[['A','B']]. \
plot(kind='line',color=['purple','steelblue'], ax=ax2, zorder=3,legend=True, marker='o')


ax2.grid(True, zorder=3)
ax2.set_axisbelow(True)
ax2.set_xticklabels(('10', '20','30', '40', '50'),Rotation=360)

# X and Y axis label
ax2.set_xlabel('Number of P',fontsize=12)
ax2.set_ylabel('Time (Seconds)',fontsize=12)

plt.show()

下面是代码出来的图片，供大家参考。

Answer 1

那是因为后面两个图是线图，x-axes是数值，matplotlib会自动缩放xticks。在这种情况下，后两者的 xticks 在第一个图中是 [0,0.5,1,...] vs 0,1,2,3,4。

您可以做的一件简单的事情就是将 sharex=True 传递给 subplots:

fig, (ax,ax1,ax2) = plt.subplots(3,1,figsize=(8,12), sharex=True)

你得到：

或者您可以手动强制线图的 xticks：

# other code
ax2.set_xticks(df_2.index)
ax2.set_xticklabels(('10', '20','30', '40', '50'),Rotation=360)

# same for `ax3`

你得到：

子图线图中的 X 标记不同 python 图

X-ticks in a subplots line graph are different python plot

python

matplotlib

subplot