Splitting timestamp column into separate date and time columns

Question

I have a pandas dataframe with over 1000 timestamps (below) that I would like to loop through:

2016-02-22 14:59:44.561776

I\'m having a har

Answer 1

If your timestamps are already in pandas format (not string), then:

df["date"] = df["timestamp"].date
dt["time"] = dt["timestamp"].time

If your timestamp is a string, you can parse it using the datetime module:

from datetime import datetime
data1["timestamp"] = df["timestamp"].apply(lambda x: \
    datetime.strptime(x,"%Y-%m-%d %H:%M:%S.%f"))

Source: http://pandas.pydata.org/pandas-docs/stable/timeseries.html