CODEWITHSUNDEEP
pythonpandasdatetimetimedelta
Graham Streich
Graham Streich

Reputation: 924

Turn a string back into a datetime timedelta

A column in my pandas data frame represents a time delta that I calculated with datetime then exported into a csv and read back into a pandas data frame. Now the column's dtype is object whereas I want it to be a timedelta so I can perform a groupby function on the dataframe. Below is what the strings look like. Thanks!

  0 days 00:00:57.416000
  0 days 00:00:12.036000
  0 days 16:46:23.127000  
 49 days 00:09:30.813000  
 50 days 00:39:31.306000  
 55 days 12:39:32.269000
-1 days +22:03:05.256000

Update, my best attempt at writing a for-loop to iterate over a specific column in my pandas dataframe:

def delta(i):
    days, timestamp = i.split(" days ")
    timestamp = timestamp[:len(timestamp)-7]
    t = datetime.datetime.strptime(timestamp,"%H:%M:%S") + 
    datetime.timedelta(days=int(days))
    delta = datetime.timedelta(days=t.day, hours=t.hour, 
    minutes=t.minute, seconds=t.second)
    delta.total_seconds()

data['diff'].map(delta)

Upvotes: 6

Views: 6506

Answers (3)

piRSquared
piRSquared

Reputation: 294218

Use pd.to_timedelta

pd.to_timedelta(df.iloc[:, 0])

0     0 days 00:00:57.416000
1     0 days 00:00:12.036000
2     0 days 16:46:23.127000
3    49 days 00:09:30.813000
4    50 days 00:39:31.306000
5    55 days 12:39:32.269000
6   -1 days +22:03:05.256000
Name: 0, dtype: timedelta64[ns]

Upvotes: 5

user1767754
user1767754

Reputation: 25094

import datetime

#Parse your string
days, timestamp = "55 days 12:39:32.269000".split(" days ")
timestamp = timestamp[:len(timestamp)-7]

#Generate datetime object
t = datetime.datetime.strptime(timestamp,"%H:%M:%S") + datetime.timedelta(days=int(days))

#Generate a timedelta
delta = datetime.timedelta(days=t.day, hours=t.hour, minutes=t.minute, seconds=t.second)

#Represent in Seconds
delta.total_seconds()

Upvotes: 3

zachMade
zachMade

Reputation: 34

You could do something like this, looping through each value from the CSV in place of stringdate:

stringdate = "2 days 00:00:57.416000"
days_v_hms = string1.split('days')
hms = days_v_hms[1].split(':')
dt = datetime.timedelta(days=int(days_v_hms[0]), hours=int(hms[0]), minutes=int(hms[1]), seconds=float(hms[2]))

Cheers!

Upvotes: 1

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