在使用secondary_y与Seaborn + Pandas进行绘图时，如何摆脱网格线 [英] How to get rid of grid lines when plotting with Seaborn + Pandas with secondary_y

问题描述

我正在绘制两个带有进口的熊猫的数据系列.理想情况下，我希望左右y轴之间共享水平网格线，但我觉得这很难做到.

I'm plotting two data series with Pandas with seaborn imported. Ideally I would like the horizontal grid lines shared between both the left and the right y-axis, but I'm under the impression that this is hard to do.

作为一种折衷，我想一起删除网格线.但是，以下代码将生成辅助y轴的水平网格线.

As a compromise I would like to remove the grid lines all together. The following code however produces the horizontal gridlines for the secondary y-axis.

import pandas as pd
import numpy as np
import seaborn as sns


data = pd.DataFrame(np.cumsum(np.random.normal(size=(100,2)),axis=0),columns=['A','B'])
data.plot(secondary_y=['B'],grid=False)

推荐答案

您可以在绘制后将轴"对象取出并在两个轴上执行.grid(False).

You can take the Axes object out after plotting and perform .grid(False) on both axes.

# Gets the axes object out after plotting
ax = data.plot(...)

# Turns off grid on the left Axis.
ax.grid(False)

# Turns off grid on the secondary (right) Axis.
ax.right_ax(False)

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