How to fix ‘numpy.ndarray’ object has no attribute ‘get_figure’ when plotting subplots

• The issue is plt.subplots(2, 3, figsize=(24, 10)) creates two groups of 3 subplots, not one group of six subplots.

array([[<AxesSubplot:xlabel="radians">, <AxesSubplot:xlabel="radians">, <AxesSubplot:xlabel="radians">],
       [<AxesSubplot:xlabel="radians">, <AxesSubplot:xlabel="radians">, <AxesSubplot:xlabel="radians">]], dtype=object)

• Unpack all of the subplot arrays from axes, using axes.ravel().
  • numpy.ravel, which returns a flattened array.
  • A list comprehension will also work, axe = [sub for x in axes for sub in x]
  • In practical terms, axes.ravel(), axes.flat, and axes.flatten(), can be used similarly. See What is the difference between flatten and ravel functions in numpy? & numpy difference between flat and ravel().
• Assign each plot to one of the subplots in axe.
• How to resolve AttributeError: ‘numpy.ndarray’ object has no attribute ‘get_figure’ when plotting subplots is a similar issue.

import pandas as pd
import numpy as np

# sinusoidal sample data
sample_length = range(1, 6+1)
rads = np.arange(0, 2*np.pi, 0.01)
data = np.array([np.sin(t*rads) for t in sample_length])
df = pd.DataFrame(data.T, index=pd.Series(rads.tolist(), name="radians"), columns=[f'freq: {i}x' for i in sample_length])

# crate the figure and axes
fig, axes = plt.subplots(2, 3, figsize=(24, 10))

# unpack all the axes subplots
axe = axes.ravel()

# assign the plot to each subplot in axe
for i, c in enumerate(df.columns):
    df[c].plot(ax=axe[i])