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Anonymous
Not applicable

Not able to run this code in python script on power query

import pandas as pd
import numpy as np
from datetime import datetime, timedelta
from statsmodels.tsa.statespace.sarimax import SARIMAX
from scipy.stats import norm

dataset = dataset[['Start of Week','23756856']]
def datetimeix(dataset):
dataset['Start of Week'] = pd.DatetimeIndex(dataset['Start of Week'])
dataset.set_index('Start of Week', inplace = True)
return dataset
dataset = datetimeix(dataset)
data_train = dataset[:45]
data_for_dist_fitting = dataset[45:]
history = np.log(dataset.astype(float))
predictions= []
train_end =datetime(2022,2,28)
rolling_predictions = data_for_dist_fitting.copy()
i=0

for train_end in data_for_dist_fitting.index+timedelta(7):

train_data = history[:train_end+timedelta(7)]
model = SARIMAX(train_data,order=(1,1,1),seasonal_order=(1, 1, 1, 12),enforce_invertibility=False, enforce_stationarity=False)\

model_fit = model.fit()
output = model_fit.predict()
yhat = np.exp(output)
rolling_predictions[train_end] = yhat
predictions[i]= rolling_predictions.iloc[i, i+1]
i=i+1

 

predictions = pd.DataFrame({'Date': data_for_dist_fitting.index ,'#Prediction':predictions })

2 REPLIES 2
Anonymous
Not applicable

Hi 

I ran it on visual studio code and debugged it. It still is not working on power bi.

v-yalanwu-msft
Community Support
Community Support

Hi, @Anonymous ;

Sorry, since this is the Power query forum, your python will have some shortcomings, you can try the following code can be executed in pycharm or other software; Are there any error messages?
Secondly, you check whether you have a python environment installed below and related libraries, such as pandas.

Using Python in Power BI Power Query Editor - Power BI | Microsoft Learn


Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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