but when doing the same thing while loading csv ,we used a lengthier approach of using a lambda and assigning it to date_parser argument.So my doubt is whether while following the later approach, do we basically apply a function(lambda in this case) to a column('Date') so that the function is applied to each value in that column and it converts each value(String) by calling strptime() ?If so, can we assume to_datetime() method converts a whole Series to datetime type while the later approach converts each value of a Series to datetime object?Is there any way we can replicate the former way while loading the csv file? That look minimal and easy.Thanks in advence(00:10:24 - 00:35:41)
Python Pandas Tutorial (Part 10): Working with Dates and Time Series Data
Corey Schafer
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