Color Mapping - ( Images in Matplotlib )

Heading h2

Syntax

imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None, origin=None, extent=None, **kwargs)

Example

import matplotlib.pyplot as plt
import numpy as np

# create a 2D numpy array with random values
arr = np.random.rand(10,10)

# create a figure object and add a subplot
fig, ax = plt.subplots()

# plot the numpy array with color mapping
im = ax.imshow(arr, cmap='cool')

# add a color bar to the plot
cbar = ax.figure.colorbar(im, ax=ax)

# display the plot
plt.show()

Output

The output displays a plot of the 2D numpy array with a cool color map and a corresponding color bar.

Explanation

Color mapping is used to represent data in images using different colors to distinguish between the different intensities or values in the data. Matplotlib provides several built-in color maps that can be used to customize the colors used in the plot.

In the above example, we create a 2D numpy array with random values. We then plot the array on a subplot using imshow() with the cool color map. We add a color bar to the plot to show how the colors map to the data values.

Use

Color mapping is useful for visualizing data in images, such as heat maps, topographical data, or any other data that can be represented by different color intensities. By using different color maps, the data can be easily interpreted and analyzed.

Important Points

• Color mapping is used to represent data in images using different colors to distinguish between the different intensities or values in the data
• Matplotlib provides several built-in color maps that can be used to customize the colors used in the plot
• imshow() is used to plot the data on a subplot with a specified color map
• colorbar() is used to add a color bar to the plot to show how the colors map to the data values

Summary

In conclusion, color mapping is an important technique for visualizing data in images. Matplotlib provides several built-in color maps that can be used to customize the colors used in the plot. The imshow() and colorbar() functions are used to plot the data with the specified color map and add a color bar to the plot. By using different color maps, the data can be easily interpreted and analyzed.