Add sectors performance

stock_market_cli.py

@@ -113,7 +113,7 @@ def main():
     main_parser = argparse.ArgumentParser(prog='stock_market_bot', add_help=False)
 
     # Add list of arguments that the main parser accepts
-    main_parser.add_argument('cmd', choices=['quit', 'help', 'gainers' ,'view', 'load', 'clear', 
+    main_parser.add_argument('cmd', choices=['quit', 'help', 'gainers', 'sectors', 'view', 'load', 'clear', 
                                              'sma', 'ema', 'macd', 'vwap', 'stoch', 'rsi', 'adx',
                                              'cci', 'aroon', 'bbands', 'ad', 'obv', 'ratings'])
 
@@ -143,6 +143,11 @@ def main():
             smm.gainers(l_args)
             continue
 
+        # --------------------------------------------------- GAINERS --------------------------------------------------
+        if ns_known_args.cmd == 'sectors':
+            smm.sectors(l_args)
+            continue
+
         # --------------------------------------------------- CLEAR ----------------------------------------------------
         elif ns_known_args.cmd == 'clear':
             print("Clearing stock ticker to be used for analysis")

stock_market_helper_funcs.py

@@ -126,3 +126,15 @@ def b_is_stock_market_open():
     # Otherwise, Stock Market is open!
     return True
 
+
+# -----------------------------------------------------------------------------------------------------------------------
+def long_number_format(s_num):
+    if s_num.lstrip("-").isdigit():
+        n_num = int(s_num)
+        magnitude = 0
+        while abs(n_num) >= 1000:
+            magnitude += 1
+            n_num /= 1000.0
+        # add more suffixes if you need them
+        return '%.2f%s' % (n_num, ['', ' K', ' M', ' G', ' T', ' P'][magnitude])
+    return s_num

stock_market_menu.py

@@ -1,10 +1,33 @@
 import argparse
+from alpha_vantage.sectorperformance import SectorPerformances
 from alpha_vantage.timeseries import TimeSeries
 import re
 import config_bot as cfg
 import pandas as pd
 from stock_market_helper_funcs import *
 
+# ---------------------------------------------------- SECTORS ----------------------------------------------------
+def sectors(l_args):
+    parser = argparse.ArgumentParser(prog='sectors', description='Plot sectors performance')
+
+    try:
+        (ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
+    except SystemExit:
+        print("")
+        return
+    
+    if l_unknown_args:
+        print(f"The following args couldn't be interpreted: {l_unknown_args}")
+
+    sp = SectorPerformances(key=cfg.API_KEY_ALPHAVANTAGE, output_format='pandas')
+    df_sectors, d_meta_data = sp.get_sector()
+    df_sectorsf['Rank A: Real-Time Performance'].plot(kind='bar')
+    plt.title('Real Time Performance (%) per Sector')
+    plt.tight_layout()
+    plt.grid()
+    plt.show()
+    print("")
+
 
 # ---------------------------------------------------- GAINERS ----------------------------------------------------
 def gainers(l_args):