Interpolation of data using interpolate.interp1d in python with datetime as index
I have some health data of people that are not regular during the day.
In order to make use of it, I want to interpolate the data in regular periods of time during the day (each 30 minutes). Therefore, I tried to use the function interpolate.interp1d
.
Executing:
f = interpolate.interp1d(data['pump_timestamp'], data['denormalized_glucose_value'])
datelist = pd.date_range(start = date(year, month, day), periods=48, freq='30min').tolist()
ynew = f(datelist)
Results in the following error:
ValueError: object arrays are not supported
How should I modify my code to make it work?
python datetime interpolation
add a comment |
I have some health data of people that are not regular during the day.
In order to make use of it, I want to interpolate the data in regular periods of time during the day (each 30 minutes). Therefore, I tried to use the function interpolate.interp1d
.
Executing:
f = interpolate.interp1d(data['pump_timestamp'], data['denormalized_glucose_value'])
datelist = pd.date_range(start = date(year, month, day), periods=48, freq='30min').tolist()
ynew = f(datelist)
Results in the following error:
ValueError: object arrays are not supported
How should I modify my code to make it work?
python datetime interpolation
You can convert the datetimes to minutes or hours with respect to some offset.
– a_guest
Jan 1 at 15:45
Please share your whole code so I can have a look on this. Right now, it seems too vague.
– Abdur Rehman
Jan 1 at 16:41
add a comment |
I have some health data of people that are not regular during the day.
In order to make use of it, I want to interpolate the data in regular periods of time during the day (each 30 minutes). Therefore, I tried to use the function interpolate.interp1d
.
Executing:
f = interpolate.interp1d(data['pump_timestamp'], data['denormalized_glucose_value'])
datelist = pd.date_range(start = date(year, month, day), periods=48, freq='30min').tolist()
ynew = f(datelist)
Results in the following error:
ValueError: object arrays are not supported
How should I modify my code to make it work?
python datetime interpolation
I have some health data of people that are not regular during the day.
In order to make use of it, I want to interpolate the data in regular periods of time during the day (each 30 minutes). Therefore, I tried to use the function interpolate.interp1d
.
Executing:
f = interpolate.interp1d(data['pump_timestamp'], data['denormalized_glucose_value'])
datelist = pd.date_range(start = date(year, month, day), periods=48, freq='30min').tolist()
ynew = f(datelist)
Results in the following error:
ValueError: object arrays are not supported
How should I modify my code to make it work?
python datetime interpolation
python datetime interpolation
edited Jan 1 at 21:32


Loss of human identity
1,1911926
1,1911926
asked Jan 1 at 15:26


ASUCBASUCB
93
93
You can convert the datetimes to minutes or hours with respect to some offset.
– a_guest
Jan 1 at 15:45
Please share your whole code so I can have a look on this. Right now, it seems too vague.
– Abdur Rehman
Jan 1 at 16:41
add a comment |
You can convert the datetimes to minutes or hours with respect to some offset.
– a_guest
Jan 1 at 15:45
Please share your whole code so I can have a look on this. Right now, it seems too vague.
– Abdur Rehman
Jan 1 at 16:41
You can convert the datetimes to minutes or hours with respect to some offset.
– a_guest
Jan 1 at 15:45
You can convert the datetimes to minutes or hours with respect to some offset.
– a_guest
Jan 1 at 15:45
Please share your whole code so I can have a look on this. Right now, it seems too vague.
– Abdur Rehman
Jan 1 at 16:41
Please share your whole code so I can have a look on this. Right now, it seems too vague.
– Abdur Rehman
Jan 1 at 16:41
add a comment |
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You can convert the datetimes to minutes or hours with respect to some offset.
– a_guest
Jan 1 at 15:45
Please share your whole code so I can have a look on this. Right now, it seems too vague.
– Abdur Rehman
Jan 1 at 16:41