All charts

👋 This page displays all the charts available in the python graph gallery.

The vast majority of them are built using matplotlib, seaborn and plotly. But many other python charting libraries are used too.

Click on an image to read the full tutorial with explanation and reproducible code 😍! If you are interested in a particular chart type, please check the classification in the front page.

The most basic density plot one can make with python and seaborn

The most basic density plot one can make with python and seaborn

seaborn densty chart with filled area

seaborn densty chart with filled area

vertical seaborn density chart

vertical seaborn density chart

control density chart color

control density chart color

Changed the bandwidth used to compute the density

Changed the bandwidth used to compute the density

Density chart with several displayed groups

Density chart with several displayed groups

Mirror density chart to compare the distribution of 2 variables

Mirror density chart to compare the distribution of 2 variables

Basic contourplot with seaborn.

Basic contourplot with seaborn.

Basic contourplot with seaborn.

Basic contourplot with seaborn.

Basic contourplot with seaborn.

Basic contourplot with seaborn.

Basic 2D histogram with seaborn

Basic 2D histogram with seaborn

Control the color in the 2d histogram.

Control the color in the 2d histogram.

Black and white, color scale legend.

Black and white, color scale legend.

Animated volcano plot with Python
The most basic area chart one can make with python and matplotlib

The most basic area chart one can make with python and matplotlib

Control chart color (Matplotlib)

Control chart color (Matplotlib)

Control line color

Control line color

Area chart with small multiple, seaborn

Area chart with small multiple, seaborn

Horizontal barplot, handy to make labels more readable.

Horizontal barplot, handy to make labels more readable.

Barplot and color customization.

Barplot and color customization.

Change the bar stroke colors.

Change the bar stroke colors.

Title and axis labels with Matplotlib.

Title and axis labels with Matplotlib.

Custom bar width. Can be handy to illustrate the sample size.

Custom bar width. Can be handy to illustrate the sample size.

Custom space between bars.

Custom space between bars.

Change bar texture.

Change bar texture.

More space under X axis to fit long labels.

More space under X axis to fit long labels.

Customize the bar labels.

Customize the bar labels.

Barplot with confidence interval.

Barplot with confidence interval.

Bubble map with Python and the basemap library

Bubble map with Python and the basemap library

Highly customized barplot with colors, legend, labels and more.

Highly customized barplot with colors, legend, labels and more.

Most basic barplot with Python and Seaborn

Most basic barplot with Python and Seaborn

Make your barplot vertical by swapping the x and y parameters

Make your barplot vertical by swapping the x and y parameters

Learn how to reorder groups in a seaborn barplot

Learn how to reorder groups in a seaborn barplot

Add error bars on a seaborn barplot

Add error bars on a seaborn barplot

How to build a stacked barplot with Python.

How to build a stacked barplot with Python.

How to build a grouped barplot with Python.

How to build a grouped barplot with Python.

How to build a percent stacked barplot with Python..

How to build a percent stacked barplot with Python..

Grouped barplot with python and seaborn

Grouped barplot with python and seaborn

Stacked barchart with python and seaborn

Stacked barchart with python and seaborn

Percent stacked barchart with python and seaborn

Percent stacked barchart with python and seaborn

Basic boxplot. You can quickly read the median, quartiles and outliers of each group.

Basic boxplot. You can quickly read the median, quartiles and outliers of each group.

If you add individual points with jitter, a bimodal distribution appears for group B

If you add individual points with jitter, a bimodal distribution appears for group B

If you have a very large dataset, the violin plot is a better alternative than jittering

If you have a very large dataset, the violin plot is a better alternative than jittering

Let's start basic. The most simple boxplot, based on 3 differents input formats

Let's start basic. The most simple boxplot, based on 3 differents input formats

Everything you need concerning color customization on your boxplot: transparency, palette in use, manual control..

Everything you need concerning color customization on your boxplot: transparency, palette in use, manual control..

Learn how to highlight a specific group in the dataset to make your point more obvious

Learn how to highlight a specific group in the dataset to make your point more obvious

If you have group and subgroups, you can build a grouped boxplot

If you have group and subgroups, you can build a grouped boxplot

Control the order of groups in the boxplot. It makes the chart more insightful

Control the order of groups in the boxplot. It makes the chart more insightful

To avoid hiding information, you can add individual data points with jitter

To avoid hiding information, you can add individual data points with jitter

Since individual data points are hidden, it is a good practice to show the sample size under each box

Since individual data points are hidden, it is a good practice to show the sample size under each box

Customization: border width

Customization: border width

Customization: use notch

Customization: use notch

Customization: box width

Customization: box width

If you have both groups and subgroups, you'll be interested in a grouped violin plot

If you have both groups and subgroups, you'll be interested in a grouped violin plot

How to read a geoJson file with geopandas and transform it to a geodataframe.

How to read a geoJson file with geopandas and transform it to a geodataframe.

How to read a geoJson file with geopandas and transform it to a geodataframe.

How to read a geoJson file with geopandas and transform it to a geodataframe.

How to read a geoJson file with geopandas and transform it to a geodataframe.

How to read a geoJson file with geopandas and transform it to a geodataframe.

Most basic bubble plot with Python and Matplotlib

Most basic bubble plot with Python and Matplotlib

Bubble plot customization: color

Bubble plot customization: color

Bubble plot customization: shape

Bubble plot customization: shape

Bubble plot customization: size

Bubble plot customization: size

Bubble plot customization: stroke

Bubble plot customization: stroke

A bubble chart width 4 dimensions: x, y, size & color

A bubble chart width 4 dimensions: x, y, size & color

Bubble plot of the gapminder dataset

Bubble plot of the gapminder dataset

Most basic chord diagram example from a random matrix.

Most basic chord diagram example from a random matrix.

Simple chord diagram with the Bokeh python library

Simple chord diagram with the Bokeh python library

Basic connected scatterplot with Python and Seaborn.

Basic connected scatterplot with Python and Seaborn.

Basic connected scatterplot with Python and Matplotlib

Basic connected scatterplot with Python and Matplotlib

Connected scatterplot on a split window

Connected scatterplot on a split window

How to customize line and markers with Matplotlib

How to customize line and markers with Matplotlib

Connected scatterplot to show the evolution of 2 variables

Connected scatterplot to show the evolution of 2 variables

Most basic circle packing

Most basic circle packing

Add colors and labels

Add colors and labels

control space between bubbles

control space between bubbles

Circular packing with several levels of hierarchy with Python and the circlize library

Circular packing with several levels of hierarchy with Python and the circlize library

Correlogram with linear trend displayed on each scatterplot

Correlogram with linear trend displayed on each scatterplot

Apply colors to each group and customized the scatterplot

Apply colors to each group and customized the scatterplot

Customize the distributions displayed on the diagonal

Customize the distributions displayed on the diagonal

Most basic dendrogram and clustering with Python and Matplotlib

Most basic dendrogram and clustering with Python and Matplotlib

Horizontal dendrogram

Horizontal dendrogram

Cut the dendrogram at a specific height

Cut the dendrogram at a specific height

Most basic heatmap with dendrogram with seaborn

Most basic heatmap with dendrogram with seaborn

Change color palette

Change color palette

Learn how to normalize data in the heatmap, avoiding that kind of result

Learn how to normalize data in the heatmap, avoiding that kind of result

The most basic density plot one can make with python and seaborn

The most basic density plot one can make with python and seaborn

seaborn densty chart with filled area

seaborn densty chart with filled area

vertical seaborn density chart

vertical seaborn density chart

control density chart color

control density chart color

Changed the bandwidth used to compute the density

Changed the bandwidth used to compute the density