I am working with a dataframe where the index is set as df.index =
2016-08-01 06:45:00
2016-08-01 07:00:00
2016-08-01 07:15:00
.
.
2018-03-28 11:30:00
2018-03-28 11:45:00
2018-03-28 12:00:00
My goal is to create a new dataframe that includes only unique dates in the index, like this:
new_df.index =
2016-08-01
2016-08-02
.
.
2018-03-28
2018-03-29
Any ideas on how to accomplish this by creating a new dataframe with unique dates as the index?
In Python, there is a built-in collection called set that contains only unique elements. An example of how to use it is shown below:
new_data = sorted(list(set(old_data)))If you need to remove the time component from your datetime data, you can modify the code using generators like this:
new_data = sorted(list(set([elem[:10] for elem in old_data])))Keep in mind that if your datetime values are linked to other information (such as values in a dictionary with datetime keys), you will need to handle the removal of elements before applying these operations.
Since there is no information provided, I can only assume it is not relevant.
It seems like your initial DataFrame has a DatetimeIndex, and you are looking to convert it into a PeriodIndex. To achieve this and obtain unique days, you can use the method df.resample(rule='D').asfreq(). Further details can be found in the documentation available here
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