python - Create a new column based on values of time-series data in pandas -

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i created date range in pandas follows:

new_range = pd.date_range(start="2015-1-1", end="2015-12-31") required_df = pd.dataframe(new_range) required_df.head()

this results in dataframe:

    start date 0   2015-01-01 1   2015-01-02 2   2015-01-03 3   2015-01-04 4   2015-01-05

now add new column date range starting value of date field in row ending on last date of year. resulting dataframe should this:

    start date   end date 0   2015-01-01  2015-01-02 1   2015-01-01  2015-01-03 2   2015-01-01  2015-01-04 ................. n   2015-01-01  2015-12-31 n+1 2015-01-02  2015-01-03 n+2 2015-01-02  2015-01-04 ................. n+m 2015-12-30  2015-12-31

i can use loop loop through each value in data_range , create new columns based on that. think there must efficient solution in pandas accomplish this.


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