Web Reference: In this tutorial, we will understand the Python plot () function. The PyPlot interface offers the plot () function for creating 2D graphs Feb 10, 2020 · I have several functions that create plots, which I use in Jupyter notebooks to visualise data. I want to create basic tests for these, checking that they still run without erroring on various inputs if I make changes. Jul 15, 2025 · The plot () function allows us to plot data points, customize line styles, markers and colors making it useful for various types of visualizations. In this article, we'll see how to use this function to plot data in Python.
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