| ← Graph Gallery | https://python-graph-gallery.com/ |
| Chart types | https://python-graph-gallery.com/boxplot/ |
| Tools | https://python-graph-gallery.com/boxplot/ |
| All | https://python-graph-gallery.com/all-charts |
| Best | https://python-graph-gallery.com/best-python-chart-examples |
| Libs | https://python-graph-gallery.com/best-dataviz-packages |
| Related | https://python-graph-gallery.com/boxplot/ |
| Learn | https://www.matplotlib-journey.com |
| boxplot | https://www.data-to-viz.com/caveat/boxplot.html |
| seaborn | https://python-graph-gallery.com/seaborn |
| matplotlib | https://python-graph-gallery.com/matplotlib |
| Boxplot section | https://python-graph-gallery.com/boxplot/ |
| About this chart | https://www.data-to-viz.com/caveat/boxplot.html |
| Basic boxplot with Python and Seaborn from various data input formats. | https://python-graph-gallery.com/30-basic-boxplot-with-seaborn/ |
| data-to-viz.com | https://www.data-to-viz.com/caveat/boxplot.html |
| Basic boxplot. You can quickly read the median, quartiles and outliers of each group. | https://python-graph-gallery.com/39-hidden-data-under-boxplot/ |
| If you add individual points with jitter, a bimodal distribution appears for group B | https://python-graph-gallery.com/39-hidden-data-under-boxplot/ |
| If you have a very large dataset, the violin plot is a better alternative than jittering | https://python-graph-gallery.com/39-hidden-data-under-boxplot/ |
| Code and more | https://python-graph-gallery.com/39-hidden-data-under-boxplot/ |
| Let's start basic. The most simple boxplot, based on 3 differents input formats | https://python-graph-gallery.com/30-basic-boxplot-with-seaborn/ |
| Everything you need concerning color customization on your boxplot: transparency, palette in use, manual control.. | https://python-graph-gallery.com/33-control-colors-of-boxplot-seaborn/ |
| Learn how to highlight a specific group in the dataset to make your point more obvious | https://python-graph-gallery.com/33-control-colors-of-boxplot-seaborn/ |
| If you have group and subgroups, you can build a grouped boxplot | https://python-graph-gallery.com/34-grouped-boxplot/ |
| Control the order of groups in the boxplot. It makes the chart more insightful | https://python-graph-gallery.com/35-control-order-of-boxplot/ |
| To avoid hiding information, you can add individual data points with jitter | https://python-graph-gallery.com/36-add-jitter-over-boxplot-seaborn/ |
| Since individual data points are hidden, it is a good practice to show the sample size under each box | https://python-graph-gallery.com/38-show-number-of-observation-on-boxplot/ |
| Customization: border width | https://python-graph-gallery.com/32-custom-boxplot-appearance-seaborn/ |
| Customization: use notch | https://python-graph-gallery.com/32-custom-boxplot-appearance-seaborn/ |
| Customization: box width | https://python-graph-gallery.com/32-custom-boxplot-appearance-seaborn/ |
| If you have both groups and subgroups, you'll be interested in a grouped violin plot | https://python-graph-gallery.com/54-grouped-violinplot/ |
| Horizontal boxplot with seaborn | https://python-graph-gallery.com/31-horizontal-boxplot-with-seaborn/ |
| Matplotlib | https://python-graph-gallery.com/matplotlib |
| Simple boxplot with matplotlib | https://python-graph-gallery.com/533-introduction-boxplots-matplotlib/ |
| Flipped, notched and customized boxplot | https://python-graph-gallery.com/542-custom-boxplots-matplotlib/ |
| Grouped boxplot | https://python-graph-gallery.com/543-grouped-boxplots-matplotlib/ |
| Beeswarm and boxplot combination | https://python-graph-gallery.com/509-introduction-to-swarm-plot-in-matplotlib/ |
| Boxplot and ANOVA results on top | https://python-graph-gallery.com/557-anova-visualization-with-matplotlib/ |
| Subplot, title, and margin customization | https://python-graph-gallery.com/534-highly-customized-layout/ |
| Add patterns to your boxplot | https://python-graph-gallery.com/584-introduction-hatch-matplotlib/ |
| R | https://www.r-graph-gallery.com |
| Python graph gallery | https://python-graph-gallery.com |
| Pull Request | https://github.com/holtzy/The-Python-Graph-Gallery |
| A combination of a violin plot and a boxplot. Allows the comparison of several groups with statistical test results on top. | https://python-graph-gallery.com/web-ggbetweenstats-with-matplotlib/ |
| Combining boxplot and density chart. A great way to display the distribution of a variable for several groups. | https://python-graph-gallery.com/raincloud-plot-with-matplotlib-and-ptitprince/ |
| + | https://python-graph-gallery.com/violin-plot/ |
| + | https://python-graph-gallery.com/density-plot/ |
| + | https://python-graph-gallery.com/histogram/ |
| + | https://python-graph-gallery.com/boxplot/ |
| + | https://python-graph-gallery.com/ridgeline/ |
| + | https://python-graph-gallery.com/beeswarm/ |
| https://github.com/holtzy |
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| Privacy | https://python-graph-gallery.com/privacy/ |
| License | https://github.com/holtzy/The-Python-Graph-Gallery/blob/master/LICENSE |
| About | https://python-graph-gallery.com/about/ |