Color maps in matplotlib

To create a scatter chart that uses a selected color palette, enter the name of the selected color scheme as the cmap argument.

The colors are grouped (see documentation). For instance: Sequential – different intensity of one color, Diverging – different intensity of two contrasting colors, Qualitative – different contrasting colors, but matching the palette, e.g Pastel1 – containing different pastel colors.

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

ax.set_title('Chart title')
ax.set_xlabel('X axis label')
ax.set_ylabel('Y axis label')

# x - list with X axis values, e.g. product name
# y - list with Y axis values, e.g. product price
# intensivity - a list with numbers corresponding to the intensity of the attribute
# cm - name of the selected color palette

ax.scatter(x, y, c=intensivity,  cmap=cm)  
  # e.g: plt.scatter(x, y, c=intensivity, s=50,  cmap='plasma')

mappable = ax.collections[0]
cbar = fig.colorbar(mappable=mappable)

The s parameter is the size of drawn characters.

To display a colorbar that shows the intensity of a given feature for the displayed point, the mappable object should be specified as a parameter, which for the scatter plot is stored as an element of the AxesSubplot collections list.

As a result, on the chart, which may show, for example, the name of the product and the price, you can add additional information using the color, e.g. popularity among buyers or the quantity of goods in the warehouse (e.g. green – the product is available without any problems, up to red – no goods in stock) )