LingPy
This documentation is for version 2.0.dev, which is
not released yet.
lingpy.compare.borrowing.trebor.TreBor.plot_MLN
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TreBor.plot_MLN(glm='', filename='', fileformat='pdf', threshold=1, usetex=True, colormap=None, taxon_labels='taxon.short_labels', verbose=False, **keywords)
Plot the MLN with help of Matplotlib.
- glm : str (default=’‘)
- Identifier for the gain-loss model that is plotted. Defaults to the
model that had the best scores in terms of probability.
- filename : str (default=’‘)
- If no filename is selected, the filename is identical with the
dataset.
- fileformat : {‘svg’,’png’,’jpg’,’pdf’} (default=’pdf’)
- Select the format of the output plot.
- threshold : int (default=1)
- Select the threshold for drawing lateral edges.
- verbose : bool (default = False)
- If set to c{True}, be verbose when carrying out the analysis.
- usetex : bool (default=True)
- Specify whether you want to use LaTeX to render plots.
- colormap : {None matplotlib.cm}
- A matplotlib.colormap instance. If set to c{None}, this
defaults to jet.
- taxon_labels : str (default=’taxon.short_labels’)
- Specify the taxon labels that should be included in the plot.