Need to change 24:00 to 23:00 time for portion of data in Python

Question

I have data for 2018 and 2017 that uses 24:00 hour times like this:

Hour Ending         X           Y       Z
12/31/2017 24:00    11452.16    1834.87 2856.94         


        

Answer 1

I don't know how your data is structured, but just iterate through it and splice the string (if it's a string) to see if '24' shows up in the 5th to last chars to the 3rd to last char. Then add one to the date using the datetime module.

import datetime

lines = ['12/31/2017 24:00', '12/31/2017 23:00', '12/30/2017 24:00']
for line in lines:
    print('PREVIOUS : ' + line)
    # Convert a 24 hour to 0 hour
    if line[-5:-3] == '24':
        (date, time) = line.split()
        time = time[:-5] + '0' + time[-3:]
        date = datetime.datetime.strptime(date, '%m/%d/%Y') + datetime.timedelta(days=1)
        print('CHANGED  : ' + date.strftime('%m/%d/%Y') + ' ' + time)
    else:
        print('UNCHANGED: ' + line)

output:

PREVIOUS : 12/31/2017 24:00
AFTER    : 01/01/2018 0:00
PREVIOUS : 12/31/2017 23:00
UNCHANGED: 12/31/2017 23:00
PREVIOUS : 12/30/2017 24:00
AFTER    : 12/31/2017 0:00

Answer 2

You can use pd.to_timedelta to help:

s = df['Hour Ending'].str.split()
df['Hour Ending'] = pd.to_datetime(s.str[0]) + pd.to_timedelta(s.str[1].str.split(':').str[0] +' hours')
print(df)

Output:

           Hour Ending         X        Y        Z
0  2018-01-01 00:00:00  11452.16  1834.87  2856.94
1  2017-12-31 23:00:00  11579.85  1855.94  2898.57
2  2017-12-31 22:00:00  11754.25  1890.36  2942.23
3  2017-12-31 21:00:00  11883.11  1907.59  2970.85
4  2017-12-31 20:00:00  12015.66  1910.72  2989.82
5  2017-12-31 19:00:00  12061.55  1923.56  3002.77
6  2017-12-31 18:00:00  11663.43  1891.09  2915.28
7  2017-12-31 17:00:00  11008.23  1803.92  2871.94
8  2017-12-31 16:00:00  10904.93  1730.49  2864.33
9  2017-12-31 15:00:00  11014.92  1673.37  2862.77
10 2017-12-31 14:00:00  11099.28  1604.28  2853.98
11 2017-12-31 13:00:00  11088.55  1585.55  2841.05
12 2017-12-31 12:00:00  10989.86  1578.52  2822.75
13 2017-12-31 11:00:00  10849.49  1578.38  2802.30
14 2017-12-31 10:00:00  10600.86  1581.44  2774.18
15 2017-12-31 09:00:00  10184.76  1532.89  2715.56
16 2017-12-31 08:00:00   9826.52  1461.63  2672.01
17 2017-12-31 07:00:00   9556.41  1399.10  2611.86
18 2017-12-31 06:00:00   9260.16  1341.11  2578.80
19 2017-12-31 05:00:00   9113.75  1328.50  2581.56
20 2017-12-31 04:00:00   9025.76  1346.87  2582.43
21 2017-12-31 03:00:00   9044.65  1343.63  2584.13
22 2017-12-31 02:00:00   9194.51  1358.57  2600.79
23 2017-12-31 01:00:00   9444.48  1379.35  2621.97
24 2017-12-31 00:00:00   9794.90  1426.91  2679.92