Pandas create date column from year and month

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We could extract year and month from Datetime column using pandas.Series.dt.year() and pandas.Series.dt.month() methods respectively. If the data isn’t in Datetime type, we need to convert it firstly to Datetime. We can also extract year and month using pandas.DatetimeIndex.month along with pandas.DatetimeIndex.year and strftime() method. Python Pandas provide wide varieties of options to process data. Out of these options, one option is dataframe.set_index (). Using dataframe.set_index () methon, we can set any column as a Index. This method accepts name (s) of columns that you want to set as Index. In our example on jupyter notebook, we have set date as a index value.
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