TypeError: 'numpy.float64' object cannot be interpreted as an integer

[Nikhil2919]

I am trying to run the detect_ts function from pyculiarity package but getting this error on passing a two-dimensional dataframe.

data=pd.read_csv('C:\Users\nikhil.chauhan\Desktop\Bosch_Frame\dataset1.csv',usecols=['A','B']) from pyculiarity import detect_ts results = detect_ts(data,max_anoms=0.02,alpha=0.001,direction = 'both',only_last=None) Traceback (most recent call last): File "", line 1, in TypeError: detect_ts() got an unexpected keyword argument 'only_last' results = detect_ts(data,max_anoms=0.02,alpha=0.001,direction = 'both') Traceback (most recent call last): File "", line 1, in File "C:\Users\nikhil.chauhan\Downloads\Compressed\pyculiar-0.0.5\pyculiarity\detect_ts.py", line 177, in detect_ts verbose=verbose) File "C:\Users\nikhil.chauhan\Downloads\Compressed\pyculiar-0.0.5\pyculiarity\detect_anoms.py", line 69, in detect_anoms decomp = stl(data.value, np=num_obs_per_period) File "C:\Users\nikhil.chauhan\Downloads\Compressed\pyculiar-0.0.5\pyculiarity\stl.py", line 35, in stl res = sm.tsa.seasonal_decompose(data.values, model='additive', freq=np) File "C:\Anaconda3\lib\site-packages\statsmodels\tsa\seasonal.py", line 88, in seasonal_decompose trend = convolution_filter(x, filt) File "C:\Anaconda3\lib\site-packages\statsmodels\tsa\filters\filtertools.py", line 303, in convolution_filter result = _pad_nans(result, trim_head, trim_tail) File "C:\Anaconda3\lib\site-packages\statsmodels\tsa\filters\filtertools.py", line 28, in _padnans return np.r[[np.nan] head, x, [np.nan] tail] TypeError: 'numpy.float64' object cannot be interpreted as an integer

[HozcarAndres]

Are you working with windows? please read https://gehrcke.de/2015/02/how-to-set-up-a-64-bit-version-of-numpy-on-windows/