Python Tutorial: Working with Time-Series Data in Pandas - to_datetime() in 7 Minutes
Pandas is mainly used for machine learning in the form of dataframes. Once we use panda functions to extract data from our text file or binary file, the data will be formed as a dataframe. And Pandas further allows us to perform various data manipulation operations.
While we are working with data, encountering time series data is very common. Data scientists love pandas for many reasons. One of the reasons is because it contains extensive functions and features for working with time series data. We can convert date and time text strings in pandas Datetime objects easily by using the to_datatime() functions.
