pydeseq2.plotting.make_scatter

make_scatter(disps, legend_labels, x_val, log=True, save_path=None, **kwargs)

Create a scatter plot using matplotlib.

Used in pydeseq2.dds.DeseqDataSet.plot_dispersions().

Parameters:

disps list

List of ndarrays to plot.

legend_labels list

List of strings that correspond to plotted targets values for legend.

x_val ndarray

1D array to plot (example: dds.varm['_normed_means']).

log bool (default: True)

Whether or not to log scale features and targets axes (default=True).

save_path str | None (default: None)

The path where to save the plot. If left None, the plot won’t be saved (default=None).

**kwargs

Matplotlib keyword arguments for the scatter plot.

Return type:

None