resampling data python
#Resample to monthly
df.resample('M').asfreq()resampling data python
#Resample to monthly
df.resample('M').asfreq()use functions to resample python
#We can also use custom functions and apply them when resampling using the .apply(method_name) method
#This is an example used in a downsampling example
def custom_resampler(arraylike):
return np.sum(arraylike) + 5
data.resample('Q').apply(custom_resampler)how i resamplae a datetime column in python
>>> d = dict({'price': [10, 11, 9, 13, 14, 18, 17, 19],
... 'volume': [50, 60, 40, 100, 50, 100, 40, 50]})
>>> df = pd.DataFrame(d)
>>> df['week_starting'] = pd.date_range('01/01/2018',
... periods=8,
... freq='W')
>>> df
price volume week_starting
0 10 50 2018-01-07
1 11 60 2018-01-14
2 9 40 2018-01-21
3 13 100 2018-01-28
4 14 50 2018-02-04
5 18 100 2018-02-11
6 17 40 2018-02-18
7 19 50 2018-02-25
# try below code when you want resample on datetime column to other all columns in dataframe
>>> df.resample('M', on='week_starting').mean()
price volume
week_starting
2018-01-31 10.75 62.5
2018-02-28 17.00 60.0Copyright © 2021 Codeinu
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