sc_toolbox.plot.relative_frequencies_lineplot#

sc_toolbox.plot.relative_frequencies_lineplot(relative_frequencies, order, cluster, xlabel='days', ylabel='relative frequency', hue=None, smooth=None, cols=None, title=None, rotation=None, figsize=(15, 5), tick_size=None, label_size=None, order_smooth=3, conf_int=None, scatter=None, save=None)[source]#

Plot relative frequencies as a line plot.

Parameters:

  • relative_frequencies (DataFrame) – Data frame containing relative Frequencies as calculated by calc_relFreq()

  • order – Order of x-axis labels from left to right

  • cluster – Which cluster to plot

  • xlabel (str) – x-axis label

  • ylabel (str) – y-axis label

  • hue (Optional[str]) – Value to color by

  • smooth (Optional[bool]) – Whether to smoothen the plot

  • cols – List of colors to use for line plot

  • title (Optional[str]) – Title of the plot

  • rotation (Optional[int]) – Rotation of the x-axis labels

  • figsize (Tuple[int, int]) – Size of the figure as specified in matplotlib

  • tick_size (Optional[int]) – Size of the ticks as specified in matplotlib

  • label_size (Optional[int]) – Size of the labels as specified in matplotlib

  • order_smooth (int) – If greater than 1, numpy.polyfit is used to estimate a polynomial regression

  • conf_int – Size of the confidence interval for the regression estimate

  • scatter – Set to True to add average expression values per sample ID as dots

  • save (Optional[str]) – Path to save the plot to

Example

../../_images/relative_frequencies_lineplots.png