Python Feature Engineering Cookbook

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In this recipe, we created new features that aggregate energy consumption with commonly used mathematical computations, which are built into pandas. We can also apply user-defined computations. In this section, we will create two functions to detect the number of local maxima and minima in time series, and then calculate those values per day of energy consumption.

To do this, we'll import pandas, load the data, and parse the date variable into datetime format, just like we did in step 1 to step 3 of this recipe:

1. First, let's import a function to find the local maxima from SciPy's signal module:

from scipy.signal import find_peaks

2. Let's create two functions to count the number of local maxima and minima in a time series: ...