How to Convert Float to Datetime in Pandas DataFrame?

How to change the Pandas datetime format in Python?

Last Updated : 04 Jul, 2022

Prerequisites: Pandas

The date-time default format is "YYYY-MM-DD". Hence, December 8, 2020, in the date format will be presented as "2020-12-08". The datetime format can be changed and by changing we mean changing the sequence and style of the format.

Function used

strftime() can change the date format in python.

Syntax:

strftime(format)

Where, format is a string representing the type of required date format.

For year %y
For month %m
For day %d

Approach

Import module
Provide date
Change the format using above function

Example

Python3

# importing pandas as pd
import pandas as pd

# Creating the date series
date_sr = pd.Series(pd.date_range(
    '2019-12-31', periods=3, freq='M', tz='Asia/Calcutta'))

# Creating the index
ind = ['Day 1', 'Day 2', 'Day 3']

# set the index
date_sr.index = ind
change_format = date_sr.dt.strftime('%d,%m,%Y')

# Print the formatted date
print(change_format)

Output

Example

Python3

# importing pandas as pd
import pandas as pd

# change in date time format
date_sr = pd.to_datetime(pd.Series("2020-12-08"))
change_format = date_sr.dt.strftime('%d/%m/%Y')

# Print the formatted date
print(change_format)

Output

Example

Python3

# importing pandas as pd
import pandas as pd

# change in date time format
date_sr = pd.to_datetime(pd.Series("2012-09-02"))
change_format = date_sr.dt.strftime('%d-%m-%Y')

# Print the formatted date
print(change_format)

Output

How to Convert Float to Datetime in Pandas DataFrame?

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