pytometry.plotting.plotdata#
- pytometry.plotting.plotdata(adata, key='signal_type', option='area', normalize=None, cofactor=10, figsize=(15, 6), bins=400, save=None, n_cols=3, **kwargs)#
Creating histogram plot of channels from Anndata object.
- Parameters
adata (AnnData) – Anndata object containing data.
key (str) – Key in adata.var to plot. Default is ‘signal_type’ which is generated when calling the preprocessing function
split_signal.normalize (str) – Normalization type. Default is None but can be set to “arcsinh”, “biExp” or “logicle”
cofactor (float) – Cofactor for arcsinh normalization. Default is 10.
figsize (tuple) – Figure size (width, height). Default is (15, 6).
option (str) – Switch to choose directly between area and height data. Default is “area”.
bins (int) – Number of bins for the histogram. Default is 400.
save (str, optional) – Path to save the figure.
**kwargs – Additional arguments passed to
matplotlib.pyplot.savefig
Returns: matplotlib.pyplot.Figure