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- W2809225487 abstract "In this chapter, you will look at styles and techniques for plotting two-dimensional data. You will start with some simple plots and then progress to those that include multiple sets of data on the same plot. While Python contains specialized built-in functions that can be quite efficient at this, usually requiring only a few lines of code, you will find that you can embellish your plots by taking a more hands-on approach and being creative by supplementing the specialized Python functions with simple Python commands. For example, the plot in Figure 8-1 requires only three lines of specialized code after the setup and data has been entered. Figure 8-5, on the other hand, can be a challenge to create using just specialized Python commands. The use of simple commands, plus a little creativity, can make the job much easier. Following simple data plots, you will move on to linear regression where you fit a straight line to a data set. You will then see how to fit non-linear mathematical functions to the data. You conclude with splines. A spline is a smooth curve that passes through each data point." @default.
- W2809225487 created "2018-06-29" @default.
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- W2809225487 date "2018-01-01" @default.
- W2809225487 modified "2023-09-25" @default.
- W2809225487 title "2D Data Plotting" @default.
- W2809225487 doi "https://doi.org/10.1007/978-1-4842-3378-8_8" @default.
- W2809225487 hasPublicationYear "2018" @default.
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