Quick example taking a string such as ’00:25:00′ (which is 25 minutes) and converting it to 1500 seconds (for example) for an entire Python Pandas dataframe column.
First: Install required Python Packages
import pandas as pd
from csv import writer
from csv import reader
Second: Read a CSV into a Python Dataframe
df = pd.read_csv(path_to_download_default_directory + '/test.csv')
Third: Convert Time to Minutes
On line 4, I converted the seconds into minutes by diving by 60.
### Convert entire 'timeColumn' to timedelta type..
df['timeColumn'] = pd.to_timedelta(df['timeColumn'])
### Convert 'timeColumn' to minutes only.
df['columnAsMinutes'] = df['timeColumn'].dt.total_seconds() / 60
### Drop the old table.
df.drop('timeColumn', axis = 1, inplace = True)
Finally: Save Output
Let’s save our work.
df.to_csv('newData.csv', index = False)
Full Script
The full script is as follows: