Read (Parse) Files Containing Dates in Python Pandas (date parser)

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Read (Parse) Files Containing Dates in Python (date parser). In this Video we talk about how to read a csv file containing date column. And we talk about how to read (parse) a text column as date time in python programming. Basically we define a date parser function and we use pandas read_csv in order to read date and parse the date column in datetime format. So, parsing and formatting dates in Python with datetime is explained in details in this video. Basically we parse date string and change their format to datetime.

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Links
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- link to formats for date parser:

- Download Dataset:

- Download Source Code:

#dataanalysis #pythonpandas #python_programming

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Great content. I have a problem while using read_excel that my date column has multiple date formats and when I transfer it to python dataframe it changes to a single format. Is there any way so that I could preserve the date format that was given in excel?

hxbkkpy

date_parser deprecated, instead: df = pd.read_csv('example.csv', parse_dates=['Date Column'], date_format='%Y-%m-%d %I-%p') for example

mauroa.

do we need to do it while reading the data? what if we converted the data type to datetime after creating a dataframe by reading the data source? aren't the end results the same?

et.sachin

Nice video. But how can I change the Date column format into another format (e.g. from %Y-%m-%d to %d-%m-%Y) and at the same time keeping the type of Date column as datetime64 and NOT object(string)?

lambrospapadopoulos

It's says can't assign to function to call

Maryj

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