I have a dataframe column which looks like this :
It reads M:S.MS
. How can I convert it into a M:S:MS timeformat
so I can plot it as a time series graph?
If I plot it as it is, python throws an Invalid literal for float()
error.
Note : This dataframe contains one hour worth of data.
Values between 0:0.0 - 59:59.9
df = pd.DataFrame({'date':['00:02.0','00:05:0','00:08.1']})
print (df)
date
0 00:02.0
1 00:05:0
2 00:08.1
It is possible convert to datetime
:
df['date'] = pd.to_datetime(df['date'], format='%M:%S.%f')
print (df)
date
0 1900-01-01 00:00:02.000
1 1900-01-01 00:00:05.000
2 1900-01-01 00:00:08.100
Or to timedelta
s:
df['date'] = pd.to_timedelta(df['date'].radd('00:'))
print (df)
date
0 00:00:02
1 00:00:05
2 00:00:08.100000
EDIT:
For custom date use:
date = '2015-01-04'
td = pd.to_datetime(date) - pd.to_datetime('1900-01-01')
df['date'] = pd.to_datetime(df['date'], format='%M:%S.%f') + td
print (df)
date
0 2015-01-04 00:00:02.000
1 2015-01-04 00:00:05.000
2 2015-01-04 00:00:08.100
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