from colorspace import diverging_hcl, palette, specplot
= diverging_hcl()
pal = palette(pal(5), name = "Diverging Palette with 5 Colors")
pal # Continuous colormap
= pal.cmap(continuous = True)
cmap1 # Internal number of colors cmap1.N
256
Documentation built with Python 3.11.10
, pyp2qmd 0.1.1
and quarto 1.5.57
on GitHub.
Converts the current palette into a matplotlib.colors.LinearSegmentedColormap
color map based on the colors provided creating this palette object. If continuous = True
a series of 256
unique colors will be created using linear interpolation in the standard RGB color space. If continuous = False
the resulting color map is solely based on the number of colors of the palette which yields a non-continuous color map with step-functions in R, G, and B (see Example).
palette.cmap(continuous=True)
continuous
bool
True
(default) the resulting colormap will contain 256 colors, linearely interpolated in between the colors of the palette. If False
, only the N
colors of the palette are used (see Examples).
from colorspace import diverging_hcl, palette, specplot
pal = diverging_hcl()
pal = palette(pal(5), name = "Diverging Palette with 5 Colors")
# Continuous colormap
cmap1 = pal.cmap(continuous = True)
cmap1.N # Internal number of colors
256
TypeError
: If continuous
is not bool