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Apply the easy to use flexbox layout system to matplotlib figures with subplots and subfigures.

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Matplotlib AutoLayout

Matplotlib AutoLayout enables developers to easily create complex multiplots and multi-axes layouts without worrying about the exact positioning of the plots. The library automatically calculates the positions of the plots and axes based on the number of rows and columns specified by the user.

Usage

  1. Install the package pip install matplotlib-autolayout
  2. Import the packages needed
# matplotlib-autolayout
from matplotlib_autolayout.autolayout import autolayout
# matplotlib
import matplotlib.pyplot as plt
  1. Create a matplotlib figure and add subplots
fig = plt.figure(figsize=(10, 5))
# font size
plt.rcParams.update({'font.size': 30})
# add 10 subplots
for i in range(10):
    fig.add_subplot(title=f"Subplot {str(i)}").plot([1, 2, 3], [1, 2, 3])
  1. Define a configuration
configuration = {
    'direction': 'column',
    'margin': 0.3,
    'count': 4
}
  1. Feed into autolayout and show the plot
autolayout(fig, configuration=configuration)
fig.show()
  1. Multiplot produced image

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Apply the easy to use flexbox layout system to matplotlib figures with subplots and subfigures.

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