DataFrame.astype() function is used to cast a column data type (dtype) in pandas object, it supports String, flat, date, int, datetime any many other dtypes supported by Numpy. This comes…
Let's see different ways to convert multiple columns from string, integer, and object to DataTime (date & time) type using pandas.to_datetime(), DataFrame.apply() & astype() functions. Usually, we get Data &…
By using pandas to_datetime() & astype() functions you can convert column to DateTime format (from String and Object to DateTime). If your DataFrame holds the DateTime in a string column…