Numerical Computing with Python

Histogram and distribution fitting in Seaborn

In the population example, the raw data was already binned into different age groups. What if the data is not binned (for example, the BigMac Index data)? Turns out, seaborn.distplot can help us to process the data into bins and show us a histogram as a result. Let's look at this example:

import seaborn as snsimport matplotlib.pyplot as plt# Get the BigMac index in 2017current_bigmac = bigmac_df[(bigmac_df.Date == "2017-01-31")]# Plot the histogramax = sns.distplot(current_bigmac.dollar_price)plt.show()

The seaborn.distplot function expects either pandas Series, single-dimensional numpy.array, ...