preprocessing_routine_plot

pyeem.plots.preprocessing_routine_plot(dataset, routine_results_df, sample_set, sample_name=None, include_complete=False, plot_type='imshow', fig=None, fig_kws={}, plot_kws={}, cbar_kws={}, **kwargs)

[summary]

Parameters

• dataset (pyeem.datasets.Dataset) – [description]

• routine_results_df (pandas.DataFrame) – [description]

• sample_set (int) – [description]

• sample_name (str, optional) – [description]. Defaults to None.

• include_complete (bool, optional) – [description]. Defaults to False.

• plot_type (str, optional) – [description]. Defaults to “imshow”.

• fig (matplotlib.pyplot.figure, optional) – [description]. Defaults to None.

• fig_kws (dict, optional) – Optional keyword arguments to include for the figure. Defaults to {}.

• plot_kws (dict, optional) – Optional keyword arguments to include. They are sent as an argument to the matplotlib plot call. Defaults to {}.

• cbar_kws (dict, optional) – Optional keyword arguments to include for the colorbar. Defaults to {}.

Returns

[description]

Return type

matplotlib.axes.Axes