The present repository suggests a function to draw good-looking and customizable 3d bar charts out of the box. Input data are two 1D arrays (labels + data points), and the data bars are fit to a given ...

Complex visuals such as heat maps, 3D charts and multi-variable bubble charts might distract or confuse the audience if they are not technical savvy. For them, using simple charts like bar, line ...

Matplotlib integrates seamlessly with other Python data science libraries like NumPy, scikit-learn, and pandas. Features: Supports 2D plotting, including line charts, scatter plots, bar charts, ...

Use Plotly Express and the grammar of graphics for easily mapping data to various visual attributes; Create different chart types, such as bar charts, scatter plots, histograms, maps, and more; Expand ...

Output: In the above productions, the displayed dots can be represented as outliers, and here plotly is also displaying the values of Quantile regions in the Box-plot, but using seaborn we can ...