Simple example on using dates as index

pandas_data_index.py

#!/usr/bin/env python3

import pandas as pd
import io

# Make up some data
example_csv = '''Birthday,Name,Surname
1643-01-04,Isaac,Newton
1879-03-14,Albert,Einsten
1942-01-08,Stephen,Hawking
1564-02-15,Galileo,Galilei
1777-04-30,Carl Friedrich,Gauss
1815-12-10,Ada,Lovelace
1791-12-26,Charles,Babbage'''

df = pd.read_csv(
    io.StringIO(example_csv), # Use a string like a file
    parse_dates=True,         # Tell pandas to parse (all) the dates
)

print(df) # Let's see original data
# Natural numbers used as index
print(df.index.values)
# You can slice using index
print(df[2:4])
# Set birthday as index
df.set_index('Birthday', inplace=True)
# Sort it to make it accessible
df.sort_index(inplace=True)
# Data is now indexed by date
print(df)
# You can conveniently slice by time
print(df['1700':'1800'])