Pandas subplots=True
will arange the axes in a single column.
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(np.random.rand(7,20))
df.plot(subplots=True)
plt.tight_layout()
plt.show()
Here, tight_layout
isn’t applied, because the figure is too small to arange the axes nicely. One can use a bigger figure (figsize=(...)
) though.
In order to have the axes on a grid, one can use the layout
parameter, e.g.
df.plot(subplots=True, layout=(4,5))
The same can be achieved if creating the axes via plt.subplots()
fig, axes = plt.subplots(nrows=4, ncols=5)
df.plot(subplots=True, ax=axes)