\!h 2SSKJr SSKrSSjrg)Nc Uc[R"5n[R"U5n[R"SUR SS-5[ UR S5- n URX USUS9 URS5 UbURU5 U(a7X U:*n U R5n U R Sn URXUS9 OSn Sn X;U 4$)asPlots an Empirical Cumulative Distribution Function Parameters ---------- x : array or list, shape=[n_samples,] Array-like object containing the feature values y_label : str (default='ECDF') Text label for the y-axis x_label : str (default=None) Text label for the x-axis ax : matplotlib.axes.Axes (default: None) An existing matplotlib Axes. Creates one if ax=None percentile : float (default=None) Float between 0 and 1 for plotting a percentile threshold line ecdf_color : matplotlib color (default=None) Color for the ECDF plot; uses matplotlib defaults if None ecdf_marker : matplotlib marker (default='o') Marker style for the ECDF plot percentile_color : matplotlib color (default='black') Color for the percentile threshold if percentile is not None percentile_linestyle : matplotlib linestyle (default='--') Line style for the percentile threshold if percentile is not None Returns --------- ax : matplotlib.axes.Axes object percentile_threshold : float Feature threshold at the percentile or None if `percentile=None` percentile_count : Number of if percentile is not None Number of samples that have a feature less or equal than the feature threshold at a percentile threshold or None if `percentile=None` Examples ----------- For usage examples, please see https://rasbt.github.io/mlxtend/user_guide/plotting/ecdf/ Nr)marker linestylecolorECDF)rr) pltgcanpsortarangeshapefloatplot set_ylabel set_xlabelmaxaxvline) xy_labelx_labelax percentile ecdf_color ecdf_markerpercentile_colorpercentile_linestyleytargetspercentile_thresholdpercentile_counts hC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\mlxtend/plotting/ecdf.pyecdfr$ sj z WWY  A !QWWQZ!^$uQWWQZ'88AGGA*GEMM& gO$&{{}"==+ DX  $ %5 55)r NNNNoblackz--)matplotlib.pyplotpyplotr numpyr r$r%r#r,s-    K6r%