Converting Pandas Timestamps to Datetime Objects
Importing Pandas
Python3
import pandas as pd |
Using the date() function
This method extracts the date information from the Timestamp object and returns a new datetime.date object. It’s useful if you only care about the date and not the time.
Python3
# Sample dataset using dictionariesdata = { 'timestamp': ['2024-01-01 12:00:00', '2024-01-02 14:30:00', '2024-01-03 08:45:00'], 'value': [10, 20, 15]}import pandas as pd# Create a Timestamp objectts = pd.Timestamp("2024-02-05 10:00:00")# Extract the date using the date() methoddate_obj = ts.date()print(type(ts))print(type(date_obj)) |
Output:
<class 'pandas._libs.tslibs.timestamps.Timestamp'>
<class 'datetime.date'>
Using the to_pydatetime() function
First, we create a timestamp object using Components (year, month, day, hour, minute, second, microsecond) and convert it to a DateTime object using the Pandas.to_pydatetime() function.
Python3
# Create a Pandas Timestamp objectts =pd.Timestamp(year=2024, month=1, day=28, hour=15, minute=30, second=0, microsecond=0)# Convert the Timestamp to a Python datetime objectdatetime_obj = ts.to_pydatetime()print(datetime_obj)print(type(datetime_obj)) |
Output:
2024-01-28 15:30:00-05:00
<class 'datetime.datetime'>
Pandas Timestamp To Datetime
A timestamp is a representation of a specific point in time, expressed as a combination of date and time information. In data processing, timestamps are used to note the occurrence of events, record the time at which data was generated or modified, and provide a chronological ordering of data.
Pandas Timestamp is a data structure used to handle timestamps in time-series data analysis.