simba.pl.discretize
- simba.pl.discretize(adata, kde=None, fig_size=(6, 6), pad=1.08, w_pad=None, h_pad=None, save_fig=None, fig_path=None, fig_name='plot_discretize.pdf', **kwargs)[source]
Plot original data VS discretized data
- Parameters:
adata (Anndata) – Annotated data matrix.
kde (bool, optional (default: None)) – If True, compute a kernel density estimate to smooth the distribution and show on the plot. Invalid as of v0.2.
pad (float, optional (default: 1.08)) – Padding between the figure edge and the edges of subplots, as a fraction of the font size.
h_pad (float, optional (default: None)) – Padding (height/width) between edges of adjacent subplots, as a fraction of the font size. Defaults to pad.
w_pad (float, optional (default: None)) – Padding (height/width) between edges of adjacent subplots, as a fraction of the font size. Defaults to pad.
fig_size (tuple, optional (default: (5,8))) – figure size.
save_fig (bool, optional (default: False)) – if True,save the figure.
fig_path (str, optional (default: None)) – If save_fig is True, specify figure path.
fig_name (str, optional (default: ‘plot_discretize.pdf’)) – if save_fig is True, specify figure name.
**kwargs (dict, optional) – Other keyword arguments are passed through to
plt.hist()
- Return type:
None