A simple way to model atmospheric pressure is to assume that values dance around a mean μ. We then assume in the simplest case that deviations of consecutive values ε from the mean follow this equation:
The relation is linear and in the simplest case, we need to estimate only one parameter—θ. To do so, we will require SciPy functionality. The full code for this recipe is in the
moving_average.py file in this book's code bundle:
from __future__ import print_function import numpy as np import matplotlib.pyplot as plt from datetime import datetime as dt from scipy.optimize import leastsq data = np.load('cbk12.npy') ...