.completeness_per_var
- proteopy.pl.completeness_per_var(adata, axis, layer=None, zero_to_na=False, groups=None, group_by=None, xlabel_rotation=0.0, figsize=(6.0, 5.0), show=True, ax=False, save=False)
Plot a histogram of completeness per variable.
- Parameters:
adata (AnnData) –
AnnDataobject with proteomics annotations.layer (
str|None) – Name of the layer to use instead of .X. Defaults to .X.zero_to_na (
bool) – Treat zero entries as missing values when True.groups (
Union[Iterable[Any],str,None]) – Optional iterable of group labels to include.group_by (
str|None) – Column name in .var (axis 0) or .obs (axis 1) used to stratify completeness into groups. Triggers a boxplot when provided.xlabel_rotation (
float) – Rotation angle in degrees applied to x-axis tick labels.figsize (
tuple[float,float]) – Tuple(width, height)controlling figure size in inches.show (
bool) – Display the plot with plt.show() when True.ax (
bool) – Return the Matplotlib Axes object instead of displaying the plot.save (
bool|str|Path|None) – File path or truthy value to trigger fig.savefig.Note – This function is a partial of completeness, with the following arguments fixed: axis=0.
- Return type: