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NumPy Cookbook - Second Edition by Ivan Idris

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Exploring atmospheric pressure

In this recipe, we will take a look at the daily mean sea level pressure (in 0.1 hPa) calculated from 24 hourly values. This includes printing descriptive statistics and visualizing the probability distribution. In nature, we often deal with the normal distribution, so the normality test from Chapter 10, Fun with Scikits, will come in handy.

The complete code is in the exploring.py file in this book's code bundle:

from __future__ import print_function import numpy as np import matplotlib.pyplot as plt from statsmodels.stats.adnorm import normal_ad data = np.load('cbk12.npy') # Multiply to get hPa values meanp = .1 * data[:,1] # Filter out 0 values meanp = meanp[ meanp > 0] # Get descriptive statistics print("Max", ...

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