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Use Colorbar with hist2d in Matplotlib Pyplot
To use colorbar with hist2d in matplotlib.pyplot, we can take the following steps.
Steps
Set the figure size and adjust the padding between and around the subplots.
Initialize a variable "N" for the number of sample data.
Createx and y data points using numpy.
Create a figure and a set of subplots using subplots() method.
Make a 2D histogram plot using hist2D().
Create a colorbar for the hist2d scalar mappable instance.
To display the figure, use Show() method.
Example
from matplotlib.colors import LogNorm import matplotlib.pyplot as plt import numpy as np # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Number of sample data N = 1000 # Create x and y data points x = np.random.rand(N) y = np.random.rand(N) fig, ax = plt.subplots() # 2D histogram plot with x and y hh = ax.hist2d(x, y, bins=40, norm=LogNorm()) fig.colorbar(hh[3], ax=ax) # Display the plot plt.show()
Output
It will produce the following output −
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