Create cmap

`pypalettes.create_cmap`

`create_cmap(colors, cmap_type='discrete', name='custom_cmap')`

Create a matplotlib colormap from an iterable of colors.

Parameters:

Name	Type	Description	Default
`colors`	`List`	An iterable of valid matplotlib colors. More about valid colors: https://python-graph-gallery.com/python-colors/	required
`name`	`str`	A name for the palette	`'custom_cmap'`
`cmap_type`	`str`	Type of colormap: 'continuous' or 'discrete'	`'discrete'`

Examples

Create a categorical colormap

# mkdocs: render
import matplotlib.pyplot as plt
from pypalettes import create_cmap
import numpy as np

cmap = create_cmap(["#D57A6D", "#E8B762", "#9CCDDF", "#525052"])

x = np.linspace(0, 20, 1000)
y = np.sin(x)

plt.scatter(x, y, c=y, cmap=cmap)
plt.colorbar()

Create a continuous colormap

# mkdocs: render
import matplotlib.pyplot as plt
from pypalettes import create_cmap
import numpy as np

cmap = create_cmap(
    ["#D57A6D", "#E8B762", "#9CCDDF", "#525052"],
    cmap_type="continuous",
)

x = np.linspace(0, 20, 1000)
y = np.sin(x)

plt.scatter(x, y, c=y, cmap=cmap)
plt.colorbar()