熊猫数据框中的yyyy-MM-ddT00：00：00到yyyy-MM-dd 00:00:00

Question

I believe that my problem is really straightfoward and there must be a really easy way to solve this issue with pandas that I am still not aware of.

The problem is that I have one column on a pandas dataframe which all the elements are written on this following format:

 yyyy-MM-ddT00:00:00

I want to translate each element of the column to the following format:

yyyy-MM-dd 00:00:00

And also, afterwards, is it possible from this column of the dataframe, create two more columns now dividing into date and time. What I mean is, to get:

yyyy-MM-dd 00:00:00

to two more columns, one containing the date:

yyyy-MM-dd

And the other containing the time:

00:00:00

Hope that I could synthetize everything properly. Thank you in advance.

Answer 1

How about pd.Series.str.split

# import pandas as pd
# df = pd.DataFrame({'Date': ['2019-08-29T12:00:00']})

#                   Date
# 0  2019-08-29T12:00:00

df.Date.str.split('T', expand=True)

#             0         1
# 0  2019-08-29  12:00:00

To simply get rid of the T between date and time string, you could use pd.Series.str.replace :

df.Date.str.replace('T', ' ')

# 0    2019-08-29 12:00:00