Subplots and Layouts
Combine multiple charts.
Why Multiple Charts
Often one chart is not enough. You may want to compare several views side by side, or break a busy plot into smaller panels. Matplotlib calls this arranging multiple axes inside one figure.
The main tool is plt.subplots(rows, cols).
A Grid of Axes
fig, axes = plt.subplots(2, 3) creates a figure with a 2 by 3 grid, giving you six axes. The axes result is a 2D array you index like axes[0][1].
The total panel count is just rows times columns.
rows, cols = 2, 3
total = rows * cols
print('Grid', rows, 'x', cols, '=', total, 'axes')
for r in range(rows):
for c in range(cols):
print('panel at', (r, c))All lessons in this course
- Figures and Axes
- Line, Bar and Scatter Plots
- Customizing Plots
- Subplots and Layouts