Seaborn.mpl_palette() method

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The Seaborn.mpl_palette() method is used such that a matplotlib palette's discrete color values are returned.

Although you will receive less colors than you anticipated if you request more colors than a given qualitative palette can provide, this method manages the qualitative color brewer palettes correctly. Contrarily, using color palette() to request qualitative color brewer palettes will provide the anticipated number of colors, but they will cycle.

For continuous palettes, discrete samples that are evenly spread, excluding the minimum and maximum value in the colormap, are chosen to provide better contrast at the extremes.

Syntax

Following is the syntax of the mpl_palette() method –

seaborn.mpl_palette(name, n_colors=6, as_cmap=False)

Parameters

The parameters of this method are seen below.

Return Value

This method returns a list of RGB tuples or a matplotlib colormap.

Example 1

In this example we will see how to use the mpl_palette method. We will have to use the palplot method available in seaborn to produce a series of colors that belong to a particular palette using this mpl_palette method. This mpl_palette() method returns a matplotlib colormap. The palplot() method can be omitted if not desired.

import seaborn as sns
import matplotlib.pyplot as plt
data = sns.palplot(sns.mpl_palette("gist_rainbow", 12))
sns.palplot(data)
plt.show()

Output

The output obtained is as follows −

Example 2

We will see other palettes in this method. In this example, we will produce a colomap with only the mpl_palette() method and not using the palplot() method.

import seaborn as sns
import matplotlib.pyplot as plt
data = sns.mpl_palette("inferno", 12)
sns.palplot(data)
plt.show()

Output

The output is as follows −

Example 3

We will see the list of all the palettes that can be used in this method and along wihtt hat we will also see another palette the colors it contains.

'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis', 'cividis_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'crest', 'crest_r', 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'flare', 'flare_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'icefire', 'icefire_r', 'inferno', 'inferno_r', 'jet', 'jet_r'

The above mentioned names are some of the colors that are part of the seaborn color paleters and all these inbuilt seaborn palettes can be used to produce colros as per as our wish and need. Another palette is shown below.

sns.mpl_palette("gist_earth", 12)

Output

The output is as follows −