Plotly Express in Python: 10 Essential Chart Types Explained
Learn the most important Plotly Express functions in Python in 10 simple scenes. This video covers basic charts, distribution charts, part-of-whole charts, density plots, heatmaps, 3D charts, multidimensional visualizations, geographic maps, polar charts, and ternary charts.
You’ll see how functions like px.line(), px.bar(), px.scatter(), px.histogram(), px.pie(), px.imshow(), px.scatter_3d(), and px.choropleth() are used to create interactive visualizations quickly.
This is a beginner-friendly introduction for anyone learning Python data visualization, Plotly, Streamlit dashboards, or data analysis.