pyani.pyani_graphics.sns package

Module contents

Code to implement Seaborn graphics output for ANI analyses.

pyani.pyani_graphics.sns.add_labels(fig, params)

Add labels to Seaborn heatmap axes, in-place.

Parameters:

• fig –
• params –

pyani.pyani_graphics.sns.distribution(dfr, outfilename, matname, title=None)

Return seaborn distribution plot for matrix.

Parameters:

• drf – DataFrame with results matrix
• outfilename – Path to output file for writing
• matname – str, type of matrix being plotted
• title – str, optional title

pyani.pyani_graphics.sns.get_clustermap(dfr, params, title=None, annot=True)

Return a Seaborn clustermap for the passed dataframe.

Parameters:

• dfr –
• params –
• title – str, plot title
• annot – Boolean, add text for cell values?

pyani.pyani_graphics.sns.get_colorbar(dfr, classes)

Return a colorbar representing classes, for a Seaborn plot.

Parameters:

• dfr –
• classes –

The aim is to get a pd.Series for the passed dataframe columns, in the form: 0 colour for class in col 0 1 colour for class in col 1 … colour for class in col … n colour for class in col n

pyani.pyani_graphics.sns.heatmap(dfr, outfilename=None, title=None, params=None)

Return seaborn heatmap with cluster dendrograms.

Parameters:

• dfr – pandas DataFrame with relevant data
• outfilename – path to output file (indicates output format)
• title –
• params –

pyani.pyani_graphics.sns.scatter(dfr1, dfr2, outfilename=None, matname1='identity', matname2='coverage', title=None, params=None)

Return seaborn scatterplot.

Parameters:

• dfr1 – pandas DataFrame with x-axis data
• dfr2 – pandas DataFrame with y-axis data
• outfilename – path to output file (indicates output format)
• matname1 – name of x-axis data
• matname2 – name of y-axis data
• title – title for the plot
• params – a list of parameters for plotting: [colormap, vmin, vmax]