![]() An inset curve is a small plot that is placed on top of the main plot. We are going to add an inset curve on top of our stress-strain curve that highlights the linear elastic region. Stress-strain curves are used by engineers to demonstrate how a material deforms under stress. The type of plot we are building is called a stress-strain curve. You can install Matplotlib, NumPy, and Pandas with the Anaconda Prompt using the commands below: Pandas, a Python library for working with tabular data, will help us bring the data into our Python program. We'll use NumPy to make a few calculations. NumPy is a Python library for numeric computation. If you installed Python from somewhere else, you'll need to install Matplotlib. If you installed Anaconda, Matplotlib is already installed. Matplotlib is one of the most popular Python plotting libraries. Matplotlib, NumPy, and Pandas - We'll build our inset curve using a Python plotting library called Matplotlib. See this post to see how to install Anaconda on your computer. I recommend installing the Anaconda Distribution of Python. Python - You need to have Python installed on your computer. While it's possible to create the inset curve with a Chromebook, tablet, or phone - that's a bit more complicated and beyond the scope of this post. ![]() A laptop or desktop computer will both work. In order to build an inset curve with Matplotlib, you'll need to have a couple of things in place:Ĭomputer - to recreate the inset curve in this post, you'll need a computer. ![]()
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