Plotting Bond Energy vs. Distance with Python and Matplotlib

Atoms in solid materials like steel and aluminum are held together with chemical bonds. Atoms of solid materials are more stable when they are chemically bonded together, and it takes energy to separate atoms which are joined together with a chemical bond. The bonding energy associated with a chemical bond …

Taylor Series in Python

In this post, we will review how to create a Taylor Series with Python and for loops. Then we will refactor the Taylor Series into functions and compare the output of our Taylor Series functions to functions from Python's Standard Library.

A Taylor Series is an infinite series of mathematical …

Quiver plots using Python, matplotlib and Jupyter notebooks

A quiver plot is a type of 2D plot that shows vector lines as arrows. Quiver plots are useful in electrical engineering to visualize electrical potential and valuable in mechanical engineering to show stress gradients. In this post, we will build three quiver plots using Python, matplotlib, numpy, and Jupyter notebooks.

Plotting Histograms with matplotlib and Python

Histograms are a useful type of statistics plot for engineers. A histogram is a type of bar plot that shows the frequency or number of values compared to a set of value ranges. Histogram plots can be created with Python and the plotting package matplotlib. The plt.hist() function creates …

Bar charts with error bars using Python, jupyter notebooks and matplotlib

Bar charts with error bars are useful in engineering to show the confidence or precision in a set of measurements or calculated values. Bar charts without error bars give the illusion that a measured or calculated value is known to high precision or high confidence. In this post, we will build a bar plot using Python, the statistics module and matplotlib. The plot will show the tensile strength of two different 3-D printer filament materials, ABS and HIPS. We will then add error bars to the plot based on the standard deviation of the data.