f4enix.output.plotter.CDFplot#

class f4enix.output.plotter.CDFplot(suptitle: str | None = None, xlabel: str | None = None, ylabel: str | None = None)#

Bases: Plotter2D

Plotter for cumulative distributions.

all datasets of observations are automatically binnned and plotted as (unfilled) histograms.

Parameters:

  • suptitle (str, optional) – title of the plot, by default None

  • xlabel (str, optional) – X axis label, by default None

  • ylabel (str, optional) – Y axis label, by default None

Variables:

  • fig (matplotlib.pyplot.Figure) – matplotlib figure representation

  • ax (matplotlib.pyplot.Axis) – matplotlib axes representation

  • markers (list[str]) – markers used in the plots [‘o’, ‘s’, ‘D’, ‘^’, ‘X’, ‘p’, ‘d’, ‘*’].

  • lines (list[str]) – linestyles used in the plots [‘-’, ‘–’, ‘-.’, ‘:’]

  • colors (list[str]) – colors used in the plots. They compose a color-blind friendly palette.

Methods

__init__([suptitle, xlabel, ylabel])

Plotter for cumulative distributions.

plot(values_list[, bins, datalabels, perc, ...])

plot the comulative distributions as discrete steps

save(outpath)

plot(values_list: list, bins: int = 10, datalabels: list[str] | None = None, perc: bool = True, outside_legend: bool = False, cut_y: float | None = None, cut_x: float | None = None) → None#

plot the comulative distributions as discrete steps

Parameters:

  • values_list (list) – list of list of values containing the occurencies to be analyzed

  • bins (int, optional) – number of bins into which the observations should be divided, by default 10

  • datalabels (list[str], optional) – list of labels to be added in the plot legend representing the different datasets reported in values_list, by default None

  • perc (bool, optional) – if True, format y-axis as percentages, by default True

  • outside_legend (bool) – if True pushes the legend outside of the graph frame, by default is False

  • cut_y (float, optional) – cut the y axis to a specific value, by default is None.

  • cut_x (float, optional) – cut the x axis to a specific value, by default is None.