Parsing dates and times from a large string into seperate columns-CodePudding

I am trying to parse the date and time from a string column.

This is the original column (all one column):

description 
4/18/2020 21:05  XXXXXXXXXXXXXXXXXXXXXXXXXXX YYYYYYYYYYYY ZZZZZZZZZZZZZZZZZ

my desired output:

spliced_date       spliced_time
4/18/2020          21:05

I am looking to pick out the date and time into their own seperate columns.

CodePudding user response：

You could use str.split:

df = pd.DataFrame({'description': ['4/18/2020 21:05  XXXXXXXXXXXXXXXXXXXXXXXXXXX YYYYYYYYYYYY ZZZZZZZZZZZZZZZZZ']})
df[['Date','Time']] = df['description'].str.split(n=2, expand=True)[[0,1]]
df = df.drop(columns='description')

Output:

        Date   Time
0  4/18/2020  21:05

CodePudding user response：

You can use named capture group with str.extract:

pattern = r'(?P<spliced_date>[^\s] )\s (?P<spliced_time>[^\s] )'
df = df['description'].str.extract(pattern)
print(df)

# Output:
  spliced_date spliced_time
0    4/18/2020        21:05