["python","datetime","pandas"]
datetime to string with series in pandas

How should I transform from datetime to string? My attempt: dates = p.to_datetime(p.Series(['20010101', '20010331']), format = '%Y%m%d') dates.str
There is no .str accessor for datetimes and you can't do .astype(str) either. Instead, use .dt.strftime: >>> series = pd.Series(['20010101', '20010331']) >>> dates = pd.to_datetime(series, format='%Y%m%d') >>> dates.dt.strftime('%Y-%m-%d') 0 2001-01-01 1 2001-03-31 dtype: object See the docs on customizing date string formats here: strftime() and strptime() Behavior. For old pandas versions <0.17.0, one can instead can call .apply with the Python standard library's datetime.strftime: >>> dates.apply(lambda x: x.strftime('%Y-%m-%d')) 0 2001-01-01 1 2001-03-31 dtype: object