greatpy.pl.make_bubble_heatmap

greatpy.pl.make_bubble_heatmap(p_val_df, odd_ratio_df, na_color='gray', tickscolorbar=[-2, -1, 0, 1, 2], vmin=-2.5, vmax=2.5, heatmap_grid=[2, 4, 0, 2, 2, 1], circle_legend_grid=[2, 4, 0, 2, 2, 1], colorbar_grid=[2, 5, 0, 3, 2, 1], palette_id='RdBu_r', cbar_label='cbar_label', ncols=8, marker=None, **kwargs)

Generate a dotplot with multiple categories

Parameters:

p_val_df : pd.DataFrame

DataFrame of the p-values computed by enrichment function

odd_ratio_df : pd.DataFrame

DataFrame of the odds ratios computed by enrichment function

na_color : str

Color for NA values

Default is "gray"

tickscolorbar : list

List of ticks should be add on the colorbar

Default is [-2, -1, 0, 1, 2]

vmin : int or float

Minimum value for the colorbar

Default is -2.5

vmax : int or float

Maximum value for the colorbar

Default is 2.5

heatmap_grid : list

Grid for the heatmap

Default is [2, 4, 0, 2, 2, 1]

circle_legend_grid : list

Grid for the circle legend

Default is [2, 4, 0, 2, 2, 1]

colorbar_grid : list

Grid for the colorbar

Default is [2, 5, 0, 3, 2, 1]

palette_id : str

Palette id for the colorbar

Default is "RdBu_r"

cbar_label : str

Label for the colorbar

Default is "cbar_label"

ncols : int or None

Number of columns for the colorbar

Default is 8

marker : str or None

Marker for the dots

Default is None

kwargs

Additional keyword arguments for the plot

Returns:

Bubble heatmap plot for gene ontology

Return type:

None