Python for civil and structural engineers by Vittorio Lora

Author:Vittorio Lora [Lora, Vittorio]
Language: eng
Format: epub
Publisher: Amazon.com
Published: 2019-09-30T05:00:00+00:00

Plotting the results

The library matplotlib (used for plotting) will be explained in the next chapter. For now just copy the following code in an empty cell and run it:

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import matplotlib.pyplot as plt fig = plt.figure(figsize=(8,8)) ax = plt.subplot(211) ax.invert_yaxis() combos.loc[:,pd.IndexSlice[:,"M"]].plot(ax=ax) ax = plt.subplot(212) ax.invert_yaxis() combos.loc[:,pd.IndexSlice[:,"V"]].plot(ax=ax)

Matplotlib

In this chapter you will learn how to visualize various kinds of data using the functionalities offered by Matplotlib. Those who have used MatLab at some point in their lives will find this library somewhat familiar. Indeed Matplotlib was written to mimic the behaviour of Matlab, at least to some extent. In the vast landscape of python libraries matplotlib as become virtually the only library that people use to plot data. Like all the libraries we have seen so far matplotlib is in a sense the "industry standard" to do this kind of task.

In this chapter you will find many code examples that showcase some of the functionalities of matplotlib. The main goal is to give you the tools necessary so that you know what to do in order to obtain a certain type of plot. In the end, however, everything comes down to personal taste. In fact I believe that tinkering and experimenting is the best way to learn how matplotlib works.

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