Convert the Column type from String to Datetime format in Pandas Dataframe

In this video, we go over how to convert pandas String objects to DataTime objects and how automatically convert to DateTime when reading in data.

Pandas To Datetime (.to_datetime()) will convert your string representation of a date to an actual date format. This is extremely important when utilizing all of the Pandas Date functionality like resample. the following syntax for it is: pd.to_datetime(format="Your_datetime_format")

Here, we will first create a dataframe of a string type and then check the data type with the help of df.info() function, it returns a Date as an object then we will convert it to datetime format using pd.to_datetime() function this Convert Pandas dataframe column type from string to datetime format using DataFrame.astype() function. we will see the format of the ‘Date’ column has been changed to the DateTime format.

Another method is to use the DataFrame.astype() function. DataFrame.astype() method is used to cast an object to a specified dtype. This function also provides the capability to convert any suitable existing column to categorical type with the help of this function we can convert Pandas dataframe column type from string to datetime format using DataFrame.astype() function. by using this function we will see that the format of the ‘Date’ column has been updated and changed to the datetime format. and the last way is that, if the data frame column is in ‘yymmdd’ format and we have to convert it to ‘yyyymmdd’ format by simply using format='%y%m%d' in pd.to_datetime.

Related article: https://www.geeksforgeeks.org/convert-the-column-type-from-string-to-datetime-format-in-pandas-dataframe/