仅水平网格（在 python 中使用 Pandas plot + pyplot）
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/54714018/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
horizontal grid only (in python using pandas plot + pyplot)
提问by Aurelie Navir
I would like to get only horizontal grid using pandas plot.
我想使用Pandas图只获得水平网格。
The integrated parameter of pandas only has grid=Trueor grid=False, so I tried with matplotlib pyplot, changing the axes parameters, specifically with this code:
pandas 的集成参数只有grid=Trueor grid=False，所以我尝试使用 matplotlib pyplot，更改轴参数，特别是使用以下代码：
import pandas as pd
import matplotlib.pyplot as plt
fig = plt.figure()
ax2 = plt.subplot()
ax2.grid(axis='x')
df.plot(kind='bar',ax=ax2, fontsize=10, sort_columns=True)
plt.show(fig)
But I get no grid, neither horizontal nor vertical. Is Pandas overwriting the axes? Or am I doing something wrong?
但我没有网格，既不是水平的也不是垂直的。Pandas 会覆盖轴吗？还是我做错了什么？
回答by Sheldore
Try setting the grid afterplotting the DataFrame. Also, to get the horizontal grid, you need to use ax2.grid(axis='y'). Below is an answer using a sample DataFrame.
绘制 DataFrame后尝试设置网格。此外，要获得水平网格，您需要使用ax2.grid(axis='y'). 以下是使用示例 DataFrame 的答案。
I have restructured how you define ax2by making use of subplots.
我ax2通过使用subplots.
import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame({'lab':['A', 'B', 'C'], 'val':[10, 30, 20]})
fig, ax2 = plt.subplots()
df.plot(kind='bar',ax=ax2, fontsize=10, sort_columns=True)
ax2.grid(axis='y')
plt.show()
Alternatively, you can also do the following: Use the axis object returned from the DataFrame plot directly to turn on the horizontal grid
或者，您也可以执行以下操作： 直接使用从 DataFrame 图返回的轴对象打开水平网格
fig = plt.figure()
ax2 = df.plot(kind='bar', fontsize=10, sort_columns=True)
ax2.grid(axis='y')
Third optionas suggested by @ayorgo in the comments is to chain the two commands as
@ayorgo 在评论中建议的第三个选项是将两个命令链接为
df.plot(kind='bar',ax=ax2, fontsize=10, sort_columns=True).grid(axis='y')
