lib5c.plotters.distribution module

Module for plotting counts distributions.

lib5c.plotters.distribution.plot_global_distributions(counts_superdict, logged=True, drop_zeros=False, shade=True, labels=None, levels=None, colors=None, hue_order=None, **kwargs)

Plots overlayed global distributions for many replicates from a counts superdict.

Parameters

• counts_superdict (counts_superdict) – The data to plot distributions of.

• logged (bool) – Pass True to log the data before plotting.

• drop_zeros (bool) – Pass True to drop zeros from the distributions.

• shade (bool) – Pass True to fill in the area under the distribution curves.

• labels (dict or None) – Pass a dict mapping the keys of counts_superdict to labels for plotting, or pass None to use the keys of counts_superdict as the labels.

• levels (dict or None) – Pass a dict mapping labels to levels to color-code the replicates by level. Pass None to give each replicate its own level.

• colors (dict or None) – Pass a dict mapping levels to matplotlib colors to decide what color to plot each level with. Pass None to automatically choose colors.

• hue_order (list of str or None) – Pass a list of the level names to determine their order in the legend.

• kwargs (kwargs) – Typical plotter kwargs.

Returns

The axis plotted on.

Return type

pyplot axis

lib5c.plotters.distribution.plot_regional_distribtions(regional_counts_superdict, logged=True, drop_zeros=False, shade=True, labels=None, levels=None, colors=None, hue_order=None, **kwargs)

Plots overlayed distributions for many replicates from a regional counts superdict.

Parameters

• regional_counts_superdict (counts_superdict) – The data to plot distributions of.

• logged (bool) – Pass True to log the data before plotting.

• drop_zeros (bool) – Pass True to drop zeros from the distributions.

• shade (bool) – Pass True to fill in the area under the distribution curves.

• labels (dict or None) – Pass a dict mapping the keys of counts_superdict to labels for plotting, or pass None to use the keys of counts_superdict as the labels.

• levels (dict or None) – Pass a dict mapping labels to levels to color-code the replicates by level. Pass None to give each replicate its own level.

• colors (dict or None) – Pass a dict mapping levels to matplotlib colors to decide what color to plot each level with. Pass None to automatically choose colors.

• hue_order (list of str or None) – Pass a list of the level names to determine their order in the legend.

• kwargs (kwargs) – Typical plotter kwargs.

Returns

The axis plotted on.

Return type

pyplot axis

lib5c.plotters.distribution.plot_regional_distribtions_parallel(regional_counts_superdict, logged=True, drop_zeros=False, shade=True, labels=None, levels=None, colors=None, hue_order=None, **kwargs)

Plots overlayed distributions for many replicates from a regional counts superdict.

Parameters

• regional_counts_superdict (counts_superdict) – The data to plot distributions of.

• logged (bool) – Pass True to log the data before plotting.

• drop_zeros (bool) – Pass True to drop zeros from the distributions.

• shade (bool) – Pass True to fill in the area under the distribution curves.

• labels (dict or None) – Pass a dict mapping the keys of counts_superdict to labels for plotting, or pass None to use the keys of counts_superdict as the labels.

• levels (dict or None) – Pass a dict mapping labels to levels to color-code the replicates by level. Pass None to give each replicate its own level.

• colors (dict or None) – Pass a dict mapping levels to matplotlib colors to decide what color to plot each level with. Pass None to automatically choose colors.

• hue_order (list of str or None) – Pass a list of the level names to determine their order in the legend.

• kwargs (kwargs) – Typical plotter kwargs.

Returns

The axis plotted on.

Return type

pyplot axis