Python for Finance Cookbook

How to do it...

Execute the following steps to carry out EDA.

1. Import the libraries:

import pandas as pdimport seaborn as snsimport numpy as np

2. Get summary statistics for numeric variables:

df.describe().transpose().round(2)

This results in the following table:

3. Get summary statistics for categorical variables:

df.describe(include='object').transpose()

This results in the following table:

4. Plot the distribution of age and, additionally, split it by gender:

fig, ax = plt.subplots()sns.distplot(df.loc[df.sex=='Male', 'age'].dropna(),  hist=False, ...