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# How to shade points in a scatter based on colormap in Matplotlib?

To shade points in a scatter based on colormap, we can use copper colormap in **scatter()** method.

## Steps

Set the figure size and adjust the padding between and around the subplots.

Create x and y random 100 data points using numpy.

Plot scatter points x and y with

**color=x**and**colormap=copper**.To display the figure, use

**show()**method.

## Example

import numpy as np from matplotlib import pyplot as plt, cm plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.random.rand(100) y = np.random.rand(100) plt.scatter(x, y, c=x, cmap='copper') plt.show()

## Output

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