Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.
matplotlib.colors.from_levels_and_colors() function is a helper function that helps create cmap and norm instance whose behavior is similar to that of contourf’s levels and colors argument.
Syntax: matplotlib.colors.from_levels_and_colors(levels, colors, extend=’neither’)
- levels: It is a sequence of numbers that represent quantization levels that are used to construct the BoundaryNorm. A value v is quantized to level k if lev[k] <= v < lev[k+1].
- colors: It is a sequence of colors that are used as fill colors for each level. There must be n_level – 1 colors if extend is “neither”. Add one extra color for an extend of “min” or “max” and for an extend of “both” add two colors.
- extend: It is an optional parameter that accepts one of the four values namely ‘neither’, ‘min’, ‘max’ or ‘both’.
Return Type : This function returns a Normalized cmap and a colormap norm
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