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 = 0 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)

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 = 0 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)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Merge sort

Merge Sort recursively sorts a given collection of numbers or elements by using the divide and conquer strategy in less time. It is one of the most used algorithms, with the worst-case time complexity of O (n log n). It was invented by John Von Neumann. The algorithm continuously divides an array into sub-arrays until each sub-array consists of a single element. It then merges those sub-arrays to produce a sorted array.

Question

Don't submit an AI generated response. I need the correct answer without any plagiarism otherwise I'll give you multiple downvotes for sure.

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)

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