Data Visualisation

Matplotlib Series 11: Histogram

This blog specifies how to create/custom basic histogram and cumulative histogram with matplotlib in Python and their use cases.

Matplotlib Series 10: Lollipop plot

This blog specifies how to create/custom basic lollipop plot and vertical lollipop plot with matplotlib in Python and their use cases.

Matplotlib Series 9: Word cloud

This blog specifies how to create basic word cloud, word cloud in specific shape with matplotlib in Python and their use cases.

Matplotlib Series 8: Radar chart

This blog specifies how to create simple radar charts, multiple area charts with matplotlib in Python and their use cases.

Matplotlib Series 7: Area chart

This blog specifies how to create simple area charts, multiple area charts, stacked area charts and 100% stacked area charts with matplotlib in Python, and their use cases.

Matplotlib Series 6: Venn diagram

This blog specifies how to create venn diagram with matplotlib in Python, and its use case.

Matplotlib Series 5: Treemap

This blog specifies how to create treemap with matplotlib in Python, and its use case.

Matplotlib Series 4: Scatter plot

This blog specifies how to create scatter plot, connected scatter plot and bubble chart with matplotlib in Python.

Matplotlib Series 3: Pie chart

This blog specifies how to create pie chart with value labels, donut chart and nested pie chart, and how to adjust labels' size and position with matplotlib in Python.

Matplotlib Series 2: Line chart

This blog specifies how to create line chart with single line, line chart with multiple lines and add values' label on the chart with matplotlib in Python.

Matplotlib Series 1: Bar chart

This blog specifies how to create simple bar chart, grouped bar chart and stacked bar chart with matplotlib in Python.

Introduction to matplotlib.pyplot

In this blog, I will talk about some basic elements for creating a graph/graphs by package matplotlib.pyplot. Figures & Axes & Axis The figure can be seen as the canvas, on which all drawi...