monet.plots.colorbars

Colorbar helper functions

Functions

cmap_discretize(cmap, N)

Return a discrete colormap from a continuous colormap.

colorbar_index(ncolors, cmap[, minval, ...])

Create a colorbar with discrete colors and custom tick labels.
monet.plots.colorbars.cmap_discretize(cmap, N)

Return a discrete colormap from a continuous colormap.

Creates a new colormap by discretizing an existing continuous colormap into N distinct colors while preserving the color transitions.

Parameters:

  • cmap (str or matplotlib.colors.Colormap) – Colormap instance or registered colormap name to discretize. Example: cm.jet, ‘viridis’, etc.

  • N (int) – Number of discrete colors to use in the new colormap.

Returns:

A new colormap object with N discrete colors based on the input colormap. The name will be the original colormap name with “_N” appended.

Return type:

matplotlib.colors.LinearSegmentedColormap

Examples

>>> from numpy import arange
>>> from numpy.ma import resize
>>> from matplotlib.pyplot import imshow
>>> from matplotlib.cm import jet
>>> x = resize(arange(100), (5, 100))
>>> djet = cmap_discretize(jet, 5)
>>> imshow(x, cmap=djet)
monet.plots.colorbars.colorbar_index(ncolors, cmap, minval=None, maxval=None, dtype='int', basemap=None)

Create a colorbar with discrete colors and custom tick labels.

Parameters:

  • ncolors (int) – Number of discrete colors to use in the colorbar.

  • cmap (str or matplotlib.colors.Colormap) – Colormap to discretize and use for the colorbar.

  • minval (float, optional) – Minimum value for the colorbar tick labels. If None and maxval is None, tick labels will range from 0 to ncolors. If None and maxval is provided, tick labels will range from 0 to maxval.

  • maxval (float, optional) – Maximum value for the colorbar tick labels. If None, tick labels will range from 0 or minval to ncolors.

  • dtype (str or type, default “int”) – Data type for tick label values (e.g., “int”, “float”).

  • basemap (matplotlib.mpl_toolkits.basemap.Basemap, optional) – Basemap instance to attach the colorbar to. If None, uses plt.colorbar.

Returns:

(colorbar, discretized_cmap) where: - colorbar is the matplotlib.colorbar.Colorbar instance - discretized_cmap is the discretized colormap

Return type:

tuple