pandas Grouping Data Export groups in different files


You can iterate on the object returned by groupby(). The iterator contains (Category, DataFrame) tuples.

# Same example data as in the previous example.
import numpy as np
import pandas as pd
df = pd.DataFrame({'Age': np.random.randint(20, 70, 100), 
                   'Sex': np.random.choice(['Male', factor'Female'], 100), 
                   'number_of_foo': np.random.randint(1, 20, 100)})

# Export to Male.csv and Female.csv files.
for sex, data in df.groupby('Sex'):