Create week.py

RRG/week.py

@@ -0,0 +1,31 @@
+#pip install pandas-datareader
+import datetime
+import pandas as pd
+from pandas_datareader import data
+import numpy as np
+from datetime import timedelta
+import time
+import os
+
+pasta_save='/home/XXX/Shared/RRG/data_py/'
+
+hoje =  (datetime.datetime.today() - timedelta(days=0))  
+inicio=(datetime.datetime.today() - timedelta(days=320))
+
+lista=['^BVSP','USIM5','OIBR4','TEND3','BBDC4','PETZ3','LAME4','MGLU3','WEGE3', 'PRIO3', 'VVAR3','JBSS3', 'MRFG3','RENT3','JHSF3', 'GGBR4','CSNA3',
+'ELET6','MOVI3','PETR4','RAIL3']
+
+def save_acao(parte):
+    acao=lista[parte]
+    if acao=='USDBRL=X' or acao=='^BVSP' or acao=='GC=F' or acao=='CL=F' or acao=='ZS=F' or acao=='SI=F' or acao=='^DJI' or acao=='^IXIC':
+        stock=acao
+    else:
+        stock = '{}.SA'.format(acao)
+    source = 'yahoo'
+    goog_df = data.DataReader(stock, source, inicio, hoje).resample('W-MON').mean().reset_index()
+    goog_df.columns=['Date','High', 'Low', 'Open', 'Close', 'Volume', 'Adj_Close']
+    goog_df.Date=pd.to_datetime(goog_df.Date).dt.strftime('%m/%d/%Y')
+    goog_df.to_csv(pasta_save+acao+'.csv',sep=';',index=False)
+    return print(acao, 'OK')
+
+list(map(save_acao,np.arange(0,len(lista))))