w3resource

Pandas: Indexing by date and time

Pandas Indexing: Exercise-6 with Solution

Write a Pandas program to create a dataframe indexing by date and time.

Test Data:

0        s001     V  Alberto Franco     15/05/2002      35  street1   t1
1        s002     V    Gino Mcneill     17/05/2002      32  street2   t2
2        s003    VI     Ryan Parkes     16/02/1999      33  street3   t3
3        s001    VI    Eesha Hinton     25/09/1998      30  street1   t4
4        s002     V    Gino Mcneill     11/05/2002      31  street2   t5
5        s004    VI    David Parkes     15/09/1997      32  street4   t6

Sample Solution:

Python Code :

import pandas as pd
print("Create a dataframe, indexing by date and time:")

dt_range = pd.date_range(start ='2020-05-12 07:10:10', freq ='S', periods = 10) 
df_dt = pd.DataFrame({"Sale_amt":[100, 110, 117, 150, 112, 99, 129, 135, 140, 150]},
                            index = dt_range)
print(df_dt)

Sample Output:

Create a dataframe, indexing by date and time:
                     Sale_amt
2020-05-12 07:10:10       100
2020-05-12 07:10:11       110
2020-05-12 07:10:12       117
2020-05-12 07:10:13       150
2020-05-12 07:10:14       112
2020-05-12 07:10:15        99
2020-05-12 07:10:16       129
2020-05-12 07:10:17       135
2020-05-12 07:10:18       140
2020-05-12 07:10:19       150      

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to create a DataFrame using intervals as an index.
Next: Write a Pandas program to create a dataframe and set a title or name of the index column.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Follow us on Facebook and Twitter for latest update.