How to properly add hours to a pandas.tseries.index.DatetimeIndex?
Question:
I have a normal df.index that I would like to add some hours to it.
In [1]: test[1].index
Out[2]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2010-03-11, ..., 2014-08-14]
Length: 52, Freq: None, Timezone: None
This is how the first element looks like:
In [1]: test[1].index[0]
Out[2]: Timestamp('2010-03-11 00:00:00')
So I try this to add the hours:
In [1]: test[1].index[0] + pd.tseries.timedeltas.to_timedelta(16, unit='h')
However I get this:
Out[2]: Timestamp('2010-03-11 00:00:00.000000016')
But I would like to get this:
Out[2]: Timestamp('2010-03-11 16:00:00')
What I am missing?. The enviroment is Anaconda (latest) Python 2.7.7, iPython 2.2
Thanks a lot
Answers:
You can use pd.DateOffset:
test[1].index + pd.DateOffset(hours=16)
pd.DateOffset
accepts the same keyword arguments as dateutil.relativedelta.
The problem you encountered was due to this bug which has been fixed in Pandas version 0.14.1:
In [242]: pd.to_timedelta(16, unit='h')
Out[242]: numpy.timedelta64(16,'ns')
If you upgrade, your original code should work.
Example of adding and subtracting time from a given datatime column in a given data frame.: using pd.Dateoffset()
for index,row in insulin_dfs.iterrows():
tm = row['date_time']
print("Original Start Time : " + str(tm))
start_time = tm + pd.DateOffset(minutes=-30)
print("30 minutes prior Start Time : " + str(start_time))
end_time = tm + pd.DateOffset(hours=2)
print("2 hours , 30 minutes from original Time" + str(end_time))
break
output: 30 minutes prior to original time, and 2 hours after the time picked.
Note:
You can use the +
for adding time to existing time and -
for subtracting
time. you can pass multiple parameters simultaneously.
I have a normal df.index that I would like to add some hours to it.
In [1]: test[1].index
Out[2]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2010-03-11, ..., 2014-08-14]
Length: 52, Freq: None, Timezone: None
This is how the first element looks like:
In [1]: test[1].index[0]
Out[2]: Timestamp('2010-03-11 00:00:00')
So I try this to add the hours:
In [1]: test[1].index[0] + pd.tseries.timedeltas.to_timedelta(16, unit='h')
However I get this:
Out[2]: Timestamp('2010-03-11 00:00:00.000000016')
But I would like to get this:
Out[2]: Timestamp('2010-03-11 16:00:00')
What I am missing?. The enviroment is Anaconda (latest) Python 2.7.7, iPython 2.2
Thanks a lot
You can use pd.DateOffset:
test[1].index + pd.DateOffset(hours=16)
pd.DateOffset
accepts the same keyword arguments as dateutil.relativedelta.
The problem you encountered was due to this bug which has been fixed in Pandas version 0.14.1:
In [242]: pd.to_timedelta(16, unit='h')
Out[242]: numpy.timedelta64(16,'ns')
If you upgrade, your original code should work.
Example of adding and subtracting time from a given datatime column in a given data frame.: using pd.Dateoffset()
for index,row in insulin_dfs.iterrows():
tm = row['date_time']
print("Original Start Time : " + str(tm))
start_time = tm + pd.DateOffset(minutes=-30)
print("30 minutes prior Start Time : " + str(start_time))
end_time = tm + pd.DateOffset(hours=2)
print("2 hours , 30 minutes from original Time" + str(end_time))
break
output: 30 minutes prior to original time, and 2 hours after the time picked.
Note:
You can use the +
for adding time to existing time and -
for subtracting
time. you can pass multiple parameters simultaneously.