Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Python Pandas - Create a DataFrame from DateTimeIndex ignoring the index
To create a DataFrame from DateTimeIndex ignoring the index, use the DateTimeIndex.to_frame() method. Set the parameter index to False to ignore the index.
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 5 and frequency as S i.e. seconds −
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')Display DateTimeIndex −
print("DateTimeIndex...\n", datetimeindex)
Create a DataFrame from DateTimeIndex. The original index isn't set in the returned DataFrame using the 'False' parameter −
print("\nDateTimeIndex to DataFrame...\n", datetimeindex.to_frame(index=False))Example
Following is the code −
import pandas as pd
# DatetimeIndex with period 5 and frequency as S i.e. seconds
# timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("\nDateTimeIndex frequency...\n", datetimeindex.freq)
# Create a DataFrame from DateTimeIndex
# The original index isn't set in the returned DataFrame using the 'False' parameter
print("\nDateTimeIndex to DataFrame...\n", datetimeindex.to_frame(index=False))Output
This will produce the following code −
DateTimeIndex... DatetimeIndex(['2021-10-18 07:20:32.261811624+10:30', '2021-10-18 07:21:12.261811624+10:30', '2021-10-18 07:21:52.261811624+10:30', '2021-10-18 07:22:32.261811624+10:30', '2021-10-18 07:23:12.261811624+10:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='40S') DateTimeIndex frequency... <40 * Seconds> DateTimeIndex to DataFrame... 0 0 2021-10-18 07:20:32.261811624+10:30 1 2021-10-18 07:21:12.261811624+10:30 2 2021-10-18 07:21:52.261811624+10:30 3 2021-10-18 07:22:32.261811624+10:30 4 2021-10-18 07:23:12.261811624+10:30
Updated on: 19-Oct-2021
2K+ Views
Advertisements