Most basic animated chart


This post explains how to build a very basic animated chart with Python. A loop is used to output several simple scatterplots at png format. A tool called image magick is then used to concatenate those images in a gif.

📍 Basic scatterplot

Let's start by building a very basic scatterplot. This is extensively described in the scatterplot section of the gallery, so let's go straight to the point:

# libraries
import matplotlib.pyplot as plt
import seaborn as sns

# grey background
sns.set(style="darkgrid")

# Scatterplot with 1 data point
plt.scatter(1, 10, s=600, alpha=0.5, edgecolors="grey", linewidth=2)
plt.xlim(0, 10)
plt.ylim(0, 100)
plt.show();

🔁 Loop

That was easy. Now let's build a loop that will produce this kind of chart at .png format at each iteration. For each step of the loop, the circle will be slightly moved toward the top right side of the figure:

# image resolution
dpi=96

# For each year:
for i in range(0,10):
 
    # initialize a figure
    fig = plt.figure(figsize=(680/dpi, 480/dpi), dpi=dpi)
    
    # Build the scatterplot
    plt.scatter(i, i*i, s=40+i*600, alpha=0.5, edgecolors="grey", linewidth=2)
    plt.xlim(0, 10)
    plt.ylim(0, 100)

    # Save it & close the figure
    filename='/Users/yan.holtz/Desktop/Scatter_step'+str(i)+'.png'
    plt.savefig(fname=filename, dpi=96)
    plt.gca()
    plt.close(fig)

Now, you should have a set of 12 images in the specified folder (/Users/yan.holtz/Desktop/ for me). Image magick is a command line tool that allows to concatenate those images in a gif file.

✨ Build a Gif

Install ImageMagick with this line of bash: brew install imagemagick

If you don't have brew installed, visit the image magick homepage for explanations.

Once the tool is installed, you can concatenate the 12 images using the following command:

# Bash
# convert -delay 80 Scatter*.png animated_scatter.gif

Note: the above line of code is written in bash, not in python. You have to execute it in a terminal, not in your python environment.

And here is the final result title

Colors

Interactivity

Animation with python

Animation

Cheat sheets

Caveats

3D

Contact & Edit

👋 This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message onTwitter, or send an email pasting yan.holtz.data with gmail.com.

This page is just a jupyter notebook, you can edit it here. Please help me making this website better 🙏!

Violin

Density

Histogram

Boxplot

Ridgeline

Scatterplot

Heatmap

Correlogram

Bubble

Connected Scatter

2D Density

Barplot

Spider / Radar

Wordcloud

Parallel

Lollipop

Circular Barplot

Treemap

Venn Diagram

Donut

Pie Chart

Dendrogram

Circular Packing

Line chart

Area chart

Stacked Area

Streamgraph

Timeseries with python

Timeseries

Map

Choropleth

Hexbin

Cartogram

Connection

Bubble

Chord Diagram

Network

Sankey

Arc Diagram

Edge Bundling

Colors

Interactivity

Animation with python

Animation

Cheat sheets

Caveats

3D

Animation with python