• Write down the algorithm of this code:

  count = 0
  delivery_df_1st_innings = pd.DataFrame()
  for index, row in final_df.iterrows():
  if count in [75,108,150,180,268,360,443,458,584,748,982,1052,1111,1226,1345]:
  count+=1
  continue
  count+=1
  ball_of_match = []
  runs = []
  player_of_dismissed = []
  teams = []
  batting_team = []
  winner = []
  win_by_runs = []
  win_by_wickets = []
  match_id = []
  city = []
  venue = []
  for ball in row['innings'][0]['1st innings']['deliveries']:
  for key in ball.keys():
  match_id.append(count)
  batting_team.append(row['innings'][0]['1st innings']['team'])
  teams.append(row['info.teams'])
  winner.append(row['info.outcome.winner'])
  ball_of_match.append(key)
  runs.append(ball[key]['runs']['total'])
  city.append(row['info.city'])
  venue.append(row['info.venue'])
  try:
  player_of_dismissed.append(ball[key]['wicket']['player_out'])
  except:
  player_of_dismissed.append('0')
  loop_df = pd.DataFrame({
  'match_id':match_id,
  'teams':teams,
  'batting_team':batting_team,
  'winner':winner,
  'ball':ball_of_match,
  'runs':runs,
  'player_dismissed':player_of_dismissed,
  'city':city,
  'venue':venue
  })
  delivery_df_1st_innings = delivery_df_1st_innings.append(loop_df)