aaanalysis.plot_get_cdict

aaanalysis.plot_get_cdict(name='DICT_COLOR')

Get color dictionaries specified for AAanalysis.

Added in version 0.1.2.

Parameters:

name ({'DICT_COLOR', 'DICT_CAT'}, default='DICT_COLOR') –

The name of the AAanalysis color dictionary.

• DICT_COLOR: Dictionary with default colors for plots.

• DICT_CAT: Dictionary with default colors for scale categories.

Returns:

AAanalysis color dictionary.

Return type:

dict_color

See also

• Plotting Prelude.

Examples

We provide two default AAanalysis default color dictionaries, which can be accessed via aa.plot_get_cdict(). First, colors for plot elements such as SHAP plots can be retrieved by name='DICT_COLOR':

import matplotlib.pyplot as plt
import seaborn as sns
import aaanalysis as aa
dict_color = aa.plot_get_cdict(name="DICT_COLOR")
data = {"Plot Elements": list(dict_color.keys()), 'Values': [1] * len(dict_color) }
aa.plot_settings(weight_bold=False)
ax = sns.barplot(data=data, x="Values", y="Plot Elements", palette=dict_color, hue="Plot Elements")
ax.xaxis.set_visible(False)
sns.despine()
plt.tight_layout()
plt.show()

The other dictionary comprises the default colors for the scale categories from AAontology, retrieved by name='DICT_CAT':

dict_color = aa.plot_get_cdict(name="DICT_CAT")
data = {"Scale Categories": list(dict_color.keys()), 'Values': [1] * len(dict_color) }
aa.plot_settings(weight_bold=False)
ax = sns.barplot(data=data, x="Values", y="Scale Categories", palette=dict_color, hue="Scale Categories")
ax.xaxis.set_visible(False)
sns.despine()
plt.tight_layout()
plt.show()