AttributeError: (“module 'pandas' has no attribute 'rolling_std'”

[Mariana136]

Hello,
I have an error ocurred in a code in Python- Jupyter. I am new in python. The error ocurred where it's used pd.rolling_std. I don't know why it doesn't work beacuse I used this code before and it worked perfect. Anyone knows what happen? I saw the answer to the same question but it doesn't work for me.
Thank you
Here is the code:

import pandas as pd
import numpy as np

def score(SeriesTemps, window):
    # normalization
    SeriesTempsNorm=(SeriesTemps-SeriesTemps.mean())/(SeriesTemps[:-1].std() + 1)  # "+ 1" to avoid division by 0

    #model 
    rollingStd = SeriesTempsNorm.apply(lambda x : pd.rolling_std(x,window=window), axis = 0)
    scoreSeason = rollingStd.iloc[-1] / rollingStd.iloc[window-1]   #division of the last element by the first no NaN (offset du to the computation of the rolling std)
    scoreYear = rollingStd.iloc[-1] / rollingStd.iloc[:-1].mean()  #mean variance as denominator


    def mergeScore(scoreSeason, scoreYear):    # we take the right score
        if scoreSeason == np.inf:     # if the Seasonal score is inf, their is no seasonnality effect, we take the score over the past year to avoid inf score
            return scoreYear
        else: return min(scoreSeason,scoreYear)      # else it might be a seasonnality effect, then we take the season score

    score = scoreSeason.combine(other = scoreYear, func= lambda x, y : mergeScore(x,y))

    return score

def groupedScore(SeriesTemps):

    # normalization
    SeriesTempsNorm=(SeriesTemps-SeriesTemps.mean())/(SeriesTemps[:-1].std() + 1) # "+ 1" to avoid division by 0

    #model
    return SeriesTempsNorm[1:].std() / SeriesTempsNorm[:-1].std() 

def scores_computation(SeriesTemps,group,window):
    if group < 6:
        # compute the score with concidering seasonnality 
        return score(SeriesTemps,window)
    else:
        # compute the score without considering seasonnality
        return groupedScore(SeriesTemps)

[Larz60+]

show error, verbatim

[Mariana136]

Sorry. Here is the error:

Error:
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-9-80eddc82c8d1> in <module>
      1 ## Scores computation
      2 print("Scores computation")
----> 3 Scores = scores.scores_computation(temporalSeries,group,window)
      4 print("End of scores computation")

~\Desktop\AOD - VANZARI\AOD - discount\applicationAOD_20170911\application\scores.py in scores_computation(SeriesTemps, group, window)
     32     if group < 6:
     33         # compute the score with concidering seasonnality
---> 34         return score(SeriesTemps,window)
     35     else:
     36         # compute the score without considering seasonnality

~\Desktop\AOD - VANZARI\AOD - discount\applicationAOD_20170911\application\scores.py in score(SeriesTemps, window)
      7 
      8     #model
----> 9     rollingStd = SeriesTempsNorm.apply(lambda x : pd.rolling_std(x,window=window), axis = 0)
     10     scoreSeason = rollingStd.iloc[-1] / rollingStd.iloc[window-1]   #division of the last element by the first no NaN (offset du to the computation of the rolling std)
     11     scoreYear = rollingStd.iloc[-1] / rollingStd.iloc[:-1].mean()  #mean variance as denominator

~\AppData\Local\Continuum\anaconda3\New folder\lib\site-packages\pandas\core\frame.py in apply(self, func, axis, broadcast, raw, reduce, result_type, args, **kwds)
   6485                          args=args,
   6486                          kwds=kwds)
-> 6487         return op.get_result()
   6488 
   6489     def applymap(self, func):

~\AppData\Local\Continuum\anaconda3\New folder\lib\site-packages\pandas\core\apply.py in get_result(self)
    149             return self.apply_raw()
    150 
--> 151         return self.apply_standard()
    152 
    153     def apply_empty_result(self):

~\AppData\Local\Continuum\anaconda3\New folder\lib\site-packages\pandas\core\apply.py in apply_standard(self)
    255 
    256         # compute the result using the series generator
--> 257         self.apply_series_generator()
    258 
    259         # wrap results

~\AppData\Local\Continuum\anaconda3\New folder\lib\site-packages\pandas\core\apply.py in apply_series_generator(self)
    284             try:
    285                 for i, v in enumerate(series_gen):
--> 286                     results[i] = self.f(v)
    287                     keys.append(v.name)
    288             except Exception as e:

~\Desktop\AOD - VANZARI\AOD - discount\applicationAOD_20170911\application\scores.py in <lambda>(x)
      7 
      8     #model
----> 9     rollingStd = SeriesTempsNorm.apply(lambda x : pd.rolling_std(x,window=window), axis = 0)
     10     scoreSeason = rollingStd.iloc[-1] / rollingStd.iloc[window-1]   #division of the last element by the first no NaN (offset du to the computation of the rolling std)
     11     scoreYear = rollingStd.iloc[-1] / rollingStd.iloc[:-1].mean()  #mean variance as denominator

AttributeError: ("module 'pandas' has no attribute 'rolling_std'", 'occurred at index clasa BM<>B6')

[Larz60+]

rolling_std has been depreciated from pandas, can still be used but syntax has changed
see: https://pandas.pydata.org/pandas-docs/st...index.html

[Mariana136]

I tried to replace

rollingStd = SeriesTempsNorm.apply(lambda x : pd.rolling_std(x,window=window), axis = 0)

with

rollingStd = SeriesTempsNorm.apply(lambda x : SeriesTemps.rolling(window=window).std(x), axis = 0)

but still doesn't work..