How to get rid of grid lines when plotting with Seaborn + Pandas with secondary_y

Question

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.

As a compromise, I would like to remove the gridlines altogether. 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)

Answer 1

You can get the Axes object out after plotting and perform .grid(False) on both axes. Refer the following code:

# 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)