Computation timesΒΆ

00:15.361 total execution time for gallery_statistics files:

Artist customization in box plots (boxplot.py) 00:02.090 0.0 MB
Boxplot drawer function (bxp.py) 00:01.800 0.0 MB
Boxplots (boxplot_demo.py) 00:01.764 0.0 MB
Histograms (hist.py) 00:01.485 0.0 MB
Plot a confidence ellipse of a two-dimensional dataset (confidence_ellipse.py) 00:01.348 0.0 MB
Violin plot basics (violinplot.py) 00:00.957 0.0 MB
Hexbin Demo (hexbin_demo.py) 00:00.716 0.0 MB
Percentiles as horizontal bar chart (barchart_demo.py) 00:00.599 0.0 MB
Violin plot customization (customized_violin.py) 00:00.574 0.0 MB
The histogram (hist) function with multiple data sets (histogram_multihist.py) 00:00.544 0.0 MB
Demo of the histogram function's different histtype settings (histogram_histtypes.py) 00:00.511 0.0 MB
Some features of the histogram (hist) function (histogram_features.py) 00:00.452 0.0 MB
Box plot vs. violin plot comparison (boxplot_vs_violin.py) 00:00.403 0.0 MB
Different ways of specifying error bars (errorbar_features.py) 00:00.382 0.0 MB
Box plots with custom fill colors (boxplot_color.py) 00:00.378 0.0 MB
Using histograms to plot a cumulative distribution (histogram_cumulative.py) 00:00.371 0.0 MB
Including upper and lower limits in error bars (errorbar_limits.py) 00:00.360 0.0 MB
Errorbar function (errorbar.py) 00:00.276 0.0 MB
Producing multiple histograms side by side (multiple_histograms_side_by_side.py) 00:00.194 0.0 MB
Creating boxes from error bars using PatchCollection (errorbars_and_boxes.py) 00:00.158 0.0 MB