Deal With datetime
Explore how to work with datetime data in Pandas by generating date ranges with various frequencies, converting strings and UNIX timestamps to datetime objects, and accessing datetime properties to handle time series data effectively in Python.
We'll cover the following...
We'll cover the following...
pandas contains extensive capabilities and features for time series data, so it provides a lot of functions to deal with datetime related requirements.
Generate date range
date_range can generate a series of dates where the default frequency is DAY.
The example below generates a series of five days.
import pandas as pd
pd.date_range("1/1/2020", periods=5)
You can change the frequency from DAY to WEEK by passing freq="W".
import pandas as pd
pd.date_range("1/1/2020",