Pandas.to_datetime() Syntax

Syntax: pandas.to_datetime(arg, errors=’raise’, dayfirst=False, yearfirst=False, utc=None, box=True, format=None, exact=True, unit=None, infer_datetime_format=False, origin=’unix’, cache=False)

Parameters:

1. arg: An integer, string, float, list or dict object to convert in to Date time object.
2. dayfirst: Boolean value, places day first if True.
3. yearfirst: Boolean value, places year first if True.
4. utc: Boolean value, Returns time in UTC if True.
5. format: String input to tell position of day, month and year.

Return type: Datetime

When a CSV file is imported and a Data Frame is made, the Date time objects in the file are read as a string object rather than a Date Time object Hence it’s very tough to perform operations like Time difference on a string rather than a Date Time object. Pandas to_datetime() method helps to convert string Date time into Python Date time object.