Computation timesΒΆ

00:30.773 total execution time for gallery_statistics files:

Artist customization in box plots (boxplot.py) 00:04.122 0.0 MB
Boxplots (boxplot_demo.py) 00:03.718 0.0 MB
Boxplot drawer function (bxp.py) 00:03.635 0.0 MB
Histograms (hist.py) 00:02.934 0.0 MB
Plot a confidence ellipse of a two-dimensional dataset (confidence_ellipse.py) 00:02.758 0.0 MB
Violin plot basics (violinplot.py) 00:01.846 0.0 MB
Hexbin Demo (hexbin_demo.py) 00:01.408 0.0 MB
Percentiles as horizontal bar chart (barchart_demo.py) 00:01.285 0.0 MB
The histogram (hist) function with multiple data sets (histogram_multihist.py) 00:01.010 0.0 MB
Violin plot customization (customized_violin.py) 00:00.931 0.0 MB
Box plot vs. violin plot comparison (boxplot_vs_violin.py) 00:00.894 0.0 MB
Some features of the histogram (hist) function (histogram_features.py) 00:00.868 0.0 MB
Demo of the histogram function's different histtype settings (histogram_histtypes.py) 00:00.840 0.0 MB
Box plots with custom fill colors (boxplot_color.py) 00:00.814 0.0 MB
Different ways of specifying error bars (errorbar_features.py) 00:00.814 0.0 MB
Using histograms to plot a cumulative distribution (histogram_cumulative.py) 00:00.800 0.0 MB
Including upper and lower limits in error bars (errorbar_limits.py) 00:00.742 0.0 MB
Errorbar function (errorbar.py) 00:00.604 0.0 MB
Producing multiple histograms side by side (multiple_histograms_side_by_side.py) 00:00.400 0.0 MB
Creating boxes from error bars using PatchCollection (errorbars_and_boxes.py) 00:00.350 0.0 MB