Upload files to 'Demand_forcasting'

Этот коммит содержится в:
2023-08-29 06:01:25 +00:00
родитель d198ac8073
Коммит 1866d5678e
2 изменённых файлов: 39 добавлений и 7 удалений
+4 -7
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@@ -1,6 +1,3 @@
from flask import Flask, render_template, send_file, request, redirect, Response from flask import Flask, render_template, send_file, request, redirect, Response
import os import os
@@ -312,7 +309,7 @@ def month(Num,df):
print('file exist') print('file exist')
os.remove('path.csv') os.remove('path.csv')
else: else:
print("file as it doesn't exists") print("file doesn't exists")
pass pass
userdata=df userdata=df
itemid=userdata[['itemname','itemid']] itemid=userdata[['itemname','itemid']]
@@ -347,7 +344,7 @@ def month(Num,df):
userdata= userdata.groupby('Month-Year').sum() userdata= userdata.groupby('Month-Year').sum()
userdata= userdata.reset_index() userdata= userdata.reset_index()
#print(userdata)
fulldata=userdata[['Month-Year','sum']] fulldata=userdata[['Month-Year','sum']]
fulldata.columns = ["Dates","SALES"] fulldata.columns = ["Dates","SALES"]
#************************************************************************************************************************ #************************************************************************************************************************
@@ -357,7 +354,7 @@ def month(Num,df):
from pandas import DataFrame from pandas import DataFrame
# userdata=pd.read_csv(r"C:\Users\Bizgaze\ipynb files\TS forcasting\working\139470.csv") # userdata=pd.read_csv(r"C:\Users\Bizgaze\ipynb files\TS forcasting\working\139470.csv")
userdata=userdata[['Month-Year','sum','itemid']]
userdata.columns = ['Month', 'sales','sku'] userdata.columns = ['Month', 'sales','sku']
from statsmodels.tsa.stattools import adfuller from statsmodels.tsa.stattools import adfuller
@@ -607,4 +604,4 @@ def sales_forcast():
return output return output
if __name__ == "__main__": if __name__ == "__main__":
app.run(host='0.0.0.0', port=5003) app.run(host='0.0.0.0', port=8082)
+35
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@@ -0,0 +1,35 @@
certifi==2022.12.7
charset-normalizer==3.1.0
click==8.1.3
contourpy==1.0.7
cycler==0.11.0
Flask==2.2.3
fonttools==4.39.3
idna==3.4
importlib-metadata==6.3.0
importlib-resources==5.12.0
itsdangerous==2.1.2
Jinja2==3.1.2
joblib==1.2.0
kiwisolver==1.4.4
MarkupSafe==2.1.2
matplotlib==3.7.1
numpy==1.24.2
packaging==23.0
pandas==2.0.0
patsy==0.5.3
Pillow==9.5.0
pyparsing==3.0.9
python-dateutil==2.8.2
pytz==2023.3
requests==2.28.2
scikit-learn==1.2.2
scipy==1.10.1
six==1.16.0
statsmodels==0.13.5
threadpoolctl==3.1.0
tzdata==2023.3
urllib3==1.26.15
Werkzeug==2.2.3
xgboost==1.7.5
zipp==3.15.0