This series will introduce you to graphing in python with Matplotlib, which is arguably the most popular graphing and data visualization library for Python. Here, we use plt.hist() function to plot a ...

Python boasts a rich ecosystem of libraries for data visualization, such as Matplotlib, Seaborn, and Plotly. These libraries come with a variety of functions and methods to create customizable graphs.

We use matplotlib for plotting in python. We also have to convert SymPy matrices to NumPy arrays prior to plotting. Therefore, we prefer to define vectors as NumPy arrays if we intend to just plot ...