Computation timesΒΆ
00:11.980 total execution time for gallery_statistics files:
Artist customization in box plots (boxplot.py ) |
00:02.691 | 0.0 MB |
Boxplot drawer function (bxp.py ) |
00:02.246 | 0.0 MB |
Histograms (hist.py ) |
00:01.212 | 0.0 MB |
Boxplots (boxplot_demo.py ) |
00:01.140 | 0.0 MB |
Violin plot basics (violinplot.py ) |
00:00.906 | 0.0 MB |
The histogram (hist) function with multiple data sets (histogram_multihist.py ) |
00:00.526 | 0.0 MB |
Plot a confidence ellipse of a two-dimensional dataset (confidence_ellipse.py ) |
00:00.498 | 0.0 MB |
Hexbin Demo (hexbin_demo.py ) |
00:00.439 | 0.0 MB |
Demo of the histogram function's different histtype settings (histogram_histtypes.py ) |
00:00.392 | 0.0 MB |
Different ways of specifying error bars (errorbar_features.py ) |
00:00.276 | 0.0 MB |
Demo of the histogram (hist) function with a few features (histogram_features.py ) |
00:00.224 | 0.0 MB |
Box plot vs. violin plot comparison (boxplot_vs_violin.py ) |
00:00.202 | 0.0 MB |
Box plots with custom fill colors (boxplot_color.py ) |
00:00.200 | 0.0 MB |
Violin plot customization (customized_violin.py ) |
00:00.195 | 0.0 MB |
Percentiles as horizontal bar chart (barchart_demo.py ) |
00:00.187 | 0.0 MB |
Producing multiple histograms side by side (multiple_histograms_side_by_side.py ) |
00:00.163 | 0.0 MB |
Including upper and lower limits in error bars (errorbar_limits.py ) |
00:00.144 | 0.0 MB |
Using histograms to plot a cumulative distribution (histogram_cumulative.py ) |
00:00.126 | 0.0 MB |
Creating boxes from error bars using PatchCollection (errorbars_and_boxes.py ) |
00:00.108 | 0.0 MB |
Errorbar function (errorbar.py ) |
00:00.104 | 0.0 MB |