Primi due csv per i grafici delle comparisons + modifiche a indexer.py + creazione comparison_indexer.py per la creazione dei csvdelle comparisons

Elaborated_Data/eps_quarterly_bar_chart.csv

@@ -0,0 +1,361 @@
+,symbol,epsActual,quarter
+0,XOM,4.14,2022-06-30
+1,XOM,4.45,2022-09-30
+2,XOM,3.4,2022-12-31
+3,XOM,2.83,2023-03-31
+4,WMT,1.3,2022-04-30
+5,WMT,1.77,2022-07-31
+6,WMT,1.5,2022-10-31
+7,WMT,1.71,2023-01-31
+8,WFC,0.74,2022-06-30
+9,WFC,0.85,2022-09-30
+10,WFC,0.61,2022-12-31
+11,WFC,1.23,2023-03-31
+12,VZ,1.31,2022-06-30
+13,VZ,1.32,2022-09-30
+14,VZ,1.19,2022-12-31
+15,VZ,1.2,2023-03-31
+16,V,1.98,2022-06-30
+17,V,1.93,2022-09-30
+18,V,2.18,2022-12-31
+19,V,2.09,2023-03-31
+20,USB,1.09,2022-06-30
+21,USB,1.18,2022-09-30
+22,USB,1.2,2022-12-31
+23,USB,1.16,2023-03-31
+24,UPS,3.29,2022-06-30
+25,UPS,2.99,2022-09-30
+26,UPS,3.62,2022-12-31
+27,UPS,2.2,2023-03-31
+28,UNP,2.93,2022-06-30
+29,UNP,3.19,2022-09-30
+30,UNP,2.67,2022-12-31
+31,UNP,2.67,2023-03-31
+32,UNH,5.57,2022-06-30
+33,UNH,5.79,2022-09-30
+34,UNH,5.34,2022-12-31
+35,UNH,6.26,2023-03-31
+36,TXN,2.45,2022-06-30
+37,TXN,2.47,2022-09-30
+38,TXN,2.13,2022-12-31
+39,TXN,1.85,2023-03-31
+40,TSLA,0.76,2022-06-30
+41,TSLA,1.05,2022-09-30
+42,TSLA,1.19,2022-12-31
+43,TSLA,0.85,2023-03-31
+44,TMUS,-0.09,2022-06-30
+45,TMUS,0.4,2022-09-30
+46,TMUS,1.18,2022-12-31
+47,TMUS,1.58,2023-03-31
+48,TMO,5.51,2022-06-30
+49,TMO,5.08,2022-09-30
+50,TMO,5.4,2022-12-31
+51,TMO,5.03,2023-03-31
+52,TGT,2.19,2022-04-30
+53,TGT,0.39,2022-07-31
+54,TGT,1.54,2022-10-31
+55,TGT,1.89,2023-01-31
+56,T,0.65,2022-06-30
+57,T,0.68,2022-09-30
+58,T,0.61,2022-12-31
+59,T,0.6,2023-03-31
+60,SPGI,2.81,2022-06-30
+61,SPGI,2.93,2022-09-30
+62,SPGI,2.54,2022-12-31
+63,SPGI,3.15,2023-03-31
+64,SPG,1.51,2022-06-30
+65,SPG,1.65,2022-09-30
+66,SPG,2.06,2022-12-31
+67,SPG,1.38,2023-03-31
+68,SO,1.07,2022-06-30
+69,SO,1.31,2022-09-30
+70,SO,0.26,2022-12-31
+71,SO,0.79,2023-03-31
+72,SCHW,0.97,2022-06-30
+73,SCHW,1.1,2022-09-30
+74,SCHW,1.09,2022-12-31
+75,SCHW,0.93,2023-03-31
+76,PYPL,0.93,2022-06-30
+77,PYPL,1.08,2022-09-30
+78,PYPL,1.24,2022-12-31
+79,PYPL,1.17,2023-03-31
+80,PM,1.32,2022-06-30
+81,PM,1.33,2022-09-30
+82,PM,1.39,2022-12-31
+83,PM,1.38,2023-03-31
+84,PG,1.21,2022-06-30
+85,PG,1.57,2022-09-30
+86,PG,1.59,2022-12-31
+87,PG,1.37,2023-03-31
+88,PFE,2.04,2022-06-30
+89,PFE,1.78,2022-09-30
+90,PFE,1.14,2022-12-31
+91,PFE,1.23,2023-03-31
+92,PEP,1.86,2022-06-30
+93,PEP,1.97,2022-09-30
+94,PEP,1.67,2022-12-31
+95,PEP,1.5,2023-03-31
+96,ORCL,1.54,2022-05-31
+97,ORCL,1.03,2022-08-31
+98,ORCL,1.21,2022-11-30
+99,ORCL,1.22,2023-02-28
+100,NVDA,1.36,2022-04-30
+101,NVDA,0.51,2022-07-31
+102,NVDA,0.58,2022-10-31
+103,NVDA,0.88,2023-01-31
+104,NSC,3.45,2022-06-30
+105,NSC,4.1,2022-09-30
+106,NSC,3.42,2022-12-31
+107,NSC,3.32,2023-03-31
+108,NKE,0.9,2022-05-31
+109,NKE,0.93,2022-08-31
+110,NKE,0.85,2022-11-30
+111,NKE,0.79,2023-02-28
+112,NFLX,3.2,2022-06-30
+113,NFLX,3.1,2022-09-30
+114,NFLX,0.12,2022-12-31
+115,NFLX,2.88,2023-03-31
+116,NEE,0.81,2022-06-30
+117,NEE,0.85,2022-09-30
+118,NEE,0.51,2022-12-31
+119,NEE,0.84,2023-03-31
+120,MSFT,2.23,2022-06-30
+121,MSFT,2.35,2022-09-30
+122,MSFT,2.32,2022-12-31
+123,MSFT,2.45,2023-03-31
+124,MRK,1.87,2022-06-30
+125,MRK,1.85,2022-09-30
+126,MRK,1.62,2022-12-31
+127,MRK,1.4,2023-03-31
+128,MO,1.26,2022-06-30
+129,MO,1.28,2022-09-30
+130,MO,1.18,2022-12-31
+131,MO,1.18,2023-03-31
+132,MMM,2.48,2022-06-30
+133,MMM,2.69,2022-09-30
+134,MMM,2.28,2022-12-31
+135,MMM,1.97,2023-03-31
+136,MMC,1.89,2022-06-30
+137,MMC,1.18,2022-09-30
+138,MMC,1.47,2022-12-31
+139,MMC,2.53,2023-03-31
+140,MDT,1.52,2022-04-30
+141,MDT,1.13,2022-07-31
+142,MDT,1.3,2022-10-31
+143,MDT,1.3,2023-01-31
+144,MCO,2.22,2022-06-30
+145,MCO,1.85,2022-09-30
+146,MCO,1.6,2022-12-31
+147,MCO,2.99,2023-03-31
+148,MCD,2.55,2022-06-30
+149,MCD,2.68,2022-09-30
+150,MCD,2.59,2022-12-31
+151,MCD,2.63,2023-03-31
+152,MA,2.56,2022-06-30
+153,MA,2.68,2022-09-30
+154,MA,2.65,2022-12-31
+155,MA,2.8,2023-03-31
+156,LRCX,8.83,2022-06-30
+157,LRCX,10.42,2022-09-30
+158,LRCX,10.71,2022-12-31
+159,LRCX,6.99,2023-03-31
+160,LOW,3.51,2022-04-30
+161,LOW,4.67,2022-07-31
+162,LOW,3.27,2022-10-31
+163,LOW,2.28,2023-01-31
+164,LMT,1.16,2022-06-30
+165,LMT,6.71,2022-09-30
+166,LMT,7.4,2022-12-31
+167,LMT,6.61,2023-03-31
+168,LLY,1.25,2022-06-30
+169,LLY,1.98,2022-09-30
+170,LLY,2.09,2022-12-31
+171,LLY,1.62,2023-03-31
+172,LIN,3.1,2022-06-30
+173,LIN,3.1,2022-09-30
+174,LIN,3.16,2022-12-31
+175,LIN,3.42,2023-03-31
+176,KO,0.7,2022-06-30
+177,KO,0.69,2022-09-30
+178,KO,0.45,2022-12-31
+179,KO,0.68,2023-03-31
+180,JPM,2.76,2022-06-30
+181,JPM,3.12,2022-09-30
+182,JPM,3.56,2022-12-31
+183,JPM,4.1,2023-03-31
+184,JNJ,2.59,2022-06-30
+185,JNJ,2.55,2022-09-30
+186,JNJ,2.35,2022-12-31
+187,JNJ,2.68,2023-03-31
+188,ISRG,1.14,2022-06-30
+189,ISRG,1.19,2022-09-30
+190,ISRG,1.23,2022-12-31
+191,ISRG,1.23,2023-03-31
+192,INTC,0.29,2022-06-30
+193,INTC,0.59,2022-09-30
+194,INTC,0.1,2022-12-31
+195,INTC,-0.04,2023-03-31
+196,IBM,2.31,2022-06-30
+197,IBM,1.81,2022-09-30
+198,IBM,3.6,2022-12-31
+199,IBM,1.36,2023-03-31
+200,HON,2.1,2022-06-30
+201,HON,2.25,2022-09-30
+202,HON,2.52,2022-12-31
+203,HON,2.07,2023-03-31
+204,HD,4.09,2022-04-30
+205,HD,5.05,2022-07-31
+206,HD,4.24,2022-10-31
+207,HD,3.3,2023-01-31
+208,GS,7.73,2022-06-30
+209,GS,8.25,2022-09-30
+210,GS,3.32,2022-12-31
+211,GS,8.79,2023-03-31
+212,GOOGL,1.21,2022-06-30
+213,GOOGL,1.06,2022-09-30
+214,GOOGL,1.05,2022-12-31
+215,GOOGL,1.17,2023-03-31
+216,GILD,1.58,2022-06-30
+217,GILD,1.9,2022-09-30
+218,GILD,1.67,2022-12-31
+219,GILD,1.37,2023-03-31
+220,GE,0.78,2022-06-30
+221,GE,0.35,2022-09-30
+222,GE,1.24,2022-12-31
+223,GE,0.27,2023-03-31
+224,FIS,1.73,2022-06-30
+225,FIS,1.74,2022-09-30
+226,FIS,1.71,2022-12-31
+227,FIS,1.29,2023-03-31
+228,FDX,6.87,2022-05-31
+229,FDX,3.44,2022-08-31
+230,FDX,3.18,2022-11-30
+231,FDX,3.41,2023-02-28
+232,EXC,0.44,2022-06-30
+233,EXC,0.75,2022-09-30
+234,EXC,0.43,2022-12-31
+235,EXC,0.7,2023-03-31
+236,DUK,1.14,2022-06-30
+237,DUK,1.78,2022-09-30
+238,DUK,1.11,2022-12-31
+239,DUK,1.2,2023-03-31
+240,DIS,1.09,2022-06-30
+241,DIS,0.3,2022-09-30
+242,DIS,0.99,2022-12-31
+243,DIS,0.93,2023-03-31
+244,DHR,2.76,2022-06-30
+245,DHR,2.56,2022-09-30
+246,DHR,2.87,2022-12-31
+247,DHR,2.36,2023-03-31
+248,DE,6.81,2022-04-30
+249,DE,6.16,2022-07-31
+250,DE,7.44,2022-10-31
+251,DE,6.55,2023-01-31
+252,D,0.77,2022-06-30
+253,D,1.11,2022-09-30
+254,D,1.06,2022-12-31
+255,D,0.99,2023-03-31
+256,CVX,5.82,2022-06-30
+257,CVX,5.56,2022-09-30
+258,CVX,4.09,2022-12-31
+259,CVX,3.55,2023-03-31
+260,CVS,2.4,2022-06-30
+261,CVS,2.09,2022-09-30
+262,CVS,1.99,2022-12-31
+263,CVS,2.2,2023-03-31
+264,CSX,0.5,2022-06-30
+265,CSX,0.51,2022-09-30
+266,CSX,0.47,2022-12-31
+267,CSX,0.48,2023-03-31
+268,CSCO,0.87,2022-04-30
+269,CSCO,0.83,2022-07-31
+270,CSCO,0.86,2022-10-31
+271,CSCO,0.88,2023-01-31
+272,CRM,0.98,2022-04-30
+273,CRM,1.19,2022-07-31
+274,CRM,1.4,2022-10-31
+275,CRM,1.68,2023-01-31
+276,COST,3.04,2022-05-31
+277,COST,4.2,2022-08-31
+278,COST,3.07,2022-11-30
+279,COST,3.3,2023-02-28
+280,CME,1.97,2022-06-30
+281,CME,1.98,2022-09-30
+282,CME,1.92,2022-12-31
+283,CME,2.42,2023-03-31
+284,CMCSA,1.01,2022-06-30
+285,CMCSA,0.96,2022-09-30
+286,CMCSA,0.82,2022-12-31
+287,CMCSA,0.92,2023-03-31
+288,CHTR,8.8,2022-06-30
+289,CHTR,7.38,2022-09-30
+290,CHTR,7.69,2022-12-31
+291,CHTR,6.65,2023-03-31
+292,CCI,0.97,2022-06-30
+293,CCI,0.97,2022-09-30
+294,CCI,0.95,2022-12-31
+295,CCI,0.97,2023-03-31
+296,CAT,3.18,2022-06-30
+297,CAT,3.95,2022-09-30
+298,CAT,4.27,2022-12-31
+299,CAT,4.91,2023-03-31
+300,BMY,1.93,2022-06-30
+301,BMY,1.99,2022-09-30
+302,BMY,1.82,2022-12-31
+303,BMY,2.05,2023-03-31
+304,BIDU,1.66,2022-03-31
+305,BIDU,2.18,2022-06-30
+306,BIDU,2.49,2022-09-30
+307,BIDU,2.23,2022-12-31
+308,BDX,2.66,2022-06-30
+309,BDX,2.75,2022-09-30
+310,BDX,2.98,2022-12-31
+311,BDX,2.86,2023-03-31
+312,BAC,0.73,2022-06-30
+313,BAC,0.81,2022-09-30
+314,BAC,0.85,2022-12-31
+315,BAC,0.94,2023-03-31
+316,BA,-0.37,2022-06-30
+317,BA,-6.18,2022-09-30
+318,BA,-1.75,2022-12-31
+319,BA,-1.27,2023-03-31
+320,AVGO,9.07,2022-04-30
+321,AVGO,9.73,2022-07-31
+322,AVGO,10.45,2022-10-31
+323,AVGO,10.33,2023-01-31
+324,APD,2.62,2022-06-30
+325,APD,2.89,2022-09-30
+326,APD,2.64,2022-12-31
+327,APD,2.74,2023-03-31
+328,AMZN,-0.2,2022-06-30
+329,AMZN,0.28,2022-09-30
+330,AMZN,0.03,2022-12-31
+331,AMZN,0.31,2023-03-31
+332,AMGN,4.65,2022-06-30
+333,AMGN,4.7,2022-09-30
+334,AMGN,4.09,2022-12-31
+335,AMGN,3.98,2023-03-31
+336,AMAT,1.85,2022-04-30
+337,AMAT,1.94,2022-07-31
+338,AMAT,2.03,2022-10-31
+339,AMAT,2.03,2023-01-31
+340,ADBE,3.35,2022-05-31
+341,ADBE,3.4,2022-08-31
+342,ADBE,3.6,2022-11-30
+343,ADBE,3.8,2023-02-28
+344,ACN,2.79,2022-05-31
+345,ACN,2.6,2022-08-31
+346,ACN,3.08,2022-11-30
+347,ACN,2.69,2023-02-28
+348,ABT,1.43,2022-06-30
+349,ABT,1.15,2022-09-30
+350,ABT,1.03,2022-12-31
+351,ABT,1.03,2023-03-31
+352,ABBV,3.37,2022-06-30
+353,ABBV,3.66,2022-09-30
+354,ABBV,3.6,2022-12-31
+355,ABBV,2.46,2023-03-31
+356,AAPL,1.2,2022-06-30
+357,AAPL,1.29,2022-09-30
+358,AAPL,1.88,2022-12-31
+359,AAPL,1.52,2023-03-31

indexer/comparison_indexer.py

@@ -0,0 +1,42 @@
+import sys
+sys.path.append('../group-1')
+import pandas as pd 
+from scraper.top100_extractor import programming_crime_list
+
+def stock_price_time_series(ticker: str):
+  # Read market price csv
+    market_prices = pd.read_csv(f'Companies_Data/{ticker}_Data/{ticker}_price_history.csv')
+
+    return market_prices
+
+def eps_bar_chart(ticker: str):
+    # Read earnings csv
+    earnings = pd.read_csv(f'Companies_Data/{ticker}_Data/{ticker}earnings.csv')
+    
+    earnings = earnings[['symbol', 'epsActual', 'quarter']]
+
+    return earnings
+
+def concatenate_price_history():
+    # Declare empty dataframe 
+    unified_price_history = pd.DataFrame()
+
+    for ticker in programming_crime_list:
+        prices = stock_price_time_series(ticker)
+        unified_price_history = pd.concat([prices, unified_price_history], ignore_index=True, axis=0)
+    
+    unified_price_history.to_csv('Elaborated_Data/price_history_data.csv')
+
+def concatenate_eps():
+    # Declare  empty dataframe
+    eps_df = pd.DataFrame()
+
+    for ticker in programming_crime_list:
+        eps = eps_bar_chart(ticker)
+        eps_df = pd.concat([eps, eps_df], ignore_index=True, axis=0)
+    
+    eps_df.to_csv('Elaborated_Data/eps_quarterly_bar_chart.csv')
+
+if __name__ == '__main__':
+    concatenate_price_history()
+    concatenate_eps()

indexer/indexer.py

@@ -1,5 +1,5 @@
 import sys
-sys.path.append('../VISUAL-AN-PROJECT')
+sys.path.append('../group-1')
 import math
 import pandas as pd
 import os
@@ -131,16 +131,13 @@ def create_df(companies_list):
     df.to_csv("Elaborated_Data/Not_Normalized.csv")
 
 def main():
-
+    # Check directory
     if not os.path.exists(r"Elaborated_Data"):
         os.mkdir(r"Elaborated_Data")
 
+    # Create the df and then normalize it
     create_df(programming_crime_list)
     normalizer()
-    # print(get_peg('GOOGL'))  # < 1 ( GREEN); > 1 (RED); = 1 (ORANGE)
-    # print(get_financial_health('GOOGL'))  # < 1 (GREEN); > 1 (RED); = 1 (ORANGE) 
-    # print(estimated_growth('GOOGL'))  # < 0 (RED); 0 < x < 8% (ORANGE); < 8 % (GREEN)
-    # print(past_performance_earnings('GOOGL'), "%") # -100 < x < 0 (RED); = 0 (ORANGE); 0 < x < 100 (GREEN)
 
 if __name__ == '__main__':
     main()