import pandas as pd
df = pd.DataFrame(['Time':['16:47:55.510','16:47:55.511','16:47:55.410']})
df
output:
Time
0 16:47:55.510
1 16:47:55.511
2 16:47:55.410
how to convert this time values to float value using python?
If the time is in h:m:s.ms format you can do something like this:
hours, minutes, seconds = df.Time[0].split(':')
total_seconds = int(hours) * 3600 + int(minutes) * 60 + float(seconds)