How does pandas handle time series data?

To work with time series data in pandas, we use a DatetimeIndex as the index for our DataFrame (or Series) . Let’s see how to do this with our OPSD data set. First, we use the read_csv() function to read the data into a DataFrame, and then display its shape.10 Oca 2019

DateTime in Pandas. We already know that Pandas is a great library for doing data analysis tasks. And so it goes without saying that Pandas also supports Python DateTime objects . It has some great methods for handling dates and times, such as to_datetime() and to_timedelta().

The Python world has a number of available representations of dates, times, deltas, and timespans. While the time series tools provided by Pandas tend to be the most useful for data science applications , it is helpful to see their relationship to other packages used in Python.