Pandas barh绘图首条条形图显示不全问题求助

使用以下代码基于Pandas DataFrame生成双轴水平条形图（barh）时，名称K对应的首条条形图无法完整显示，请问如何添加边距调整轴与绘图区域的间距？

fig = plt.figure(figsize = (10, 6))
ax = fig.add_subplot()
ax2 = ax.twiny()
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from io import StringIO
s = StringIO("""name     amount     price
A     40929   4066443
B     93904   9611272
C    188349  19360005
D    248438  24335536
E    205622  18888604
F    140173  12580900
G     76243   6751731
H     36859   3418329
I     29304   2758928
J     39768   3201269
K     30350   2867059""")
df = pd.read_csv(s, delimiter=' ', skipinitialspace=True)
df.plot(x = 'name', y = 'price', kind = 'barh', ax = ax, color = 'steelblue', width = 0.4, position = 0)
df.plot(x = 'name', y = 'amount', kind = 'barh', ax = ax2, color = 'salmon', width = 0.4, position = 1)

绘图时K对应的条形图左侧被截断，无法完整显示。

方法1：调整绘图区域边距 #

在代码末尾添加plt.subplots_adjust(left=0.1)，直接调整整个图表的左侧边距，给条形图留出足够空间：

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from io import StringIO

# 规范代码顺序，先导入库
fig = plt.figure(figsize = (10, 6))
ax = fig.add_subplot()
ax2 = ax.twiny()

s = StringIO("""name     amount     price
A     40929   4066443
B     93904   9611272
C    188349  19360005
D    248438  24335536
E    205622  18888604
F    140173  12580900
G     76243   6751731
H     36859   3418329
I     29304   2758928
J     39768   3201269
K     30350   2867059""")
df = pd.read_csv(s, delimiter=' ', skipinitialspace=True)

df.plot(x = 'name', y = 'price', kind = 'barh', ax = ax, color = 'steelblue', width = 0.4, position = 0)
df.plot(x = 'name', y = 'amount', kind = 'barh', ax = ax2, color = 'salmon', width = 0.4, position = 1)

# 调整左侧边距，数值可根据需求修改
plt.subplots_adjust(left=0.1)
plt.show()

方法2：设置轴的边距 #

通过ax.margins()和ax2.margins()给两个轴添加x方向的边距，确保条形图完整显示：

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from io import StringIO

fig = plt.figure(figsize = (10, 6))
ax = fig.add_subplot()
ax2 = ax.twiny()

s = StringIO("""name     amount     price
A     40929   4066443
B     93904   9611272
C    188349  19360005
D    248438  24335536
E    205622  18888604
F    140173  12580900
G     76243   6751731
H     36859   3418329
I     29304   2758928
J     39768   3201269
K     30350   2867059""")
df = pd.read_csv(s, delimiter=' ', skipinitialspace=True)

df.plot(x = 'name', y = 'price', kind = 'barh', ax = ax, color = 'steelblue', width = 0.4, position = 0)
df.plot(x = 'name', y = 'amount', kind = 'barh', ax = ax2, color = 'salmon', width = 0.4, position = 1)

# 给两个x轴添加边距，x参数控制水平方向边距比例
ax.margins(x=0.05)
ax2.margins(x=0.05)
plt.show()

额外优化 #

原代码将库导入语句放在创建图表之后，建议调整到代码开头，符合Python代码规范。

内容的提问来源于stack exchange，提问作者ahajib