flotilla.visualize.generic module¶

flotilla.visualize.generic.barplot(data, color=None, x_order=None, ax=None, title='', **kwargs)[source]¶

flotilla.visualize.generic.nmf_space_transitions(nmf_space_positions, feature_id, phenotype_to_color, phenotype_to_marker, order, ax=None, xlabel=None, ylabel=None)[source]¶

flotilla.visualize.generic.plot_pooled_dot(ax, pooled, x_offset=0, label=False)[source]¶

Parameters:	ax : matplotlib.axes.Axes Axes object to plot on pooled : pandas.Series Pooled data of this gene

flotilla.visualize.generic.simple_twoway_scatter(sample1, sample2, **kwargs)[source]¶

Plot a two-dimensional scatterplot between two samples

Parameters:	sample1 : pandas.Series Data to plot on the x-axis sample2 : pandas.Series Data to plot on the y-axis Any other keyword arguments valid for seaborn.jointplot
Returns:	jointgrid : seaborn.axisgrid.JointGrid Returns a JointGrid instance See Also seaborn.jointplot

flotilla.visualize.generic.violinplot(data, groupby=None, color_ordered=None, ax=None, pooled_data=None, order=None, violinplot_kws=None, title=None, label_pooled=False, outliers=None, data_type=None)[source]¶

Parameters:	data : pandas.Series The main data to plot groupby : dict-like How to group the samples (e.g. by phenotype) color_ordered : list