In PYTHON   Print values from the Goal column only Print values only for columns: Team, Yellow Cards and Red Cards Find and print rows for teams that scored more than 6 goals Select the teams whose name start with a G Print values only for columns Team and Shooting Accuracy , and only for rows in which the team is either of the following: England, Italy and Spain Find and print rows for teams that scored more than 6 goals and at least 4000 passes     Team Goals Shots on target Shots off target Shooting Accuracy Goals-to-shots (perc) Total shots (inc. Blocked) Hit Woodwork Penalty goals Penalties not scored Headed goals Passes Passes completed Passing Accuracy Touches Crosses Dribbles Corners Taken Tackles Clearances Interceptions Clearances off line Clean Sheets Blocks Goals conceded Saves made Saves-to-shots ratio Fouls Won Fouls Conceded Offsides Yellow Cards Red Cards Subs on Subs off Players Used Croatia 4 13 12 0.5 0.16 32 0 0 0 2 1076 828 0.769 1706 60 42 14 49 83 56   0 10 3 13 0.813 41 62 2 9 0 9 9 16   Czech Republic 4 13 18 0.4 0.129 39 0 0 0 0 1565 1223 0.781 2358 46 68 21 62 98 37 2 1 10 6 9 0.601 53 73 8 7 0 11 11 19   Denmark 4 10 10 0.5 0.2 27 1 0 0 3 1298 1082 0.833 1873 43 32 16 40 61 59 0 1 10 5 10 0.667 25 38 8 4 0 7 7 15   England 5 11 18 0.5 0.172 40 0 0 0 3 1488 1200 0.806 2440 58 60 16 86 106 72 1 2 29 3 22 0.881 43 45 6 5 0 11 11 16   France 3 22 24 0.4 0.065 65 1 0 0 0 2066 1803 0.872 2909 55 76 28 71 76 58 0 1 7 5 6 0.546 36 51 5 6 0 11 11 19   Germany 10 32 32 0.5 0.156 80 2 1 0 2 2774 2427 0.874 3761 101 60 35 91 73 69 0 1 11 6 10 0.626 63 49 12 4 0 15 15 17   Greece 5 8 18 0.3 0.192 32 1 1 1 0 1187 911 0.767 2016 52 53 10 65 123 87 0 1 23 7 13 0.651 67 48 12 9 1 12 12 20   Italy 6 34 45 0.4 0.075 110 2 0 0 2 3016 2531 0.839 4363 75 75 30 98 137 136 1 2 18 7 20 0.741 101 89 16 16 0 18 18 19   Netherlands 2 12 36 0.3 0.041 60 2 0 0 0 1556 1381 0.887 2163 50 49 22 34 41 41 0 0 9 5 12 0.706 35 30 3 5 0 7 7 15   Poland 2 15 23 0.4 0.052 48 0 0 0 1 1059 852 0.804 1724 55 39 14 67 87 62 0 0 8 3 6 0.667 48 56 3 7 1 7 7 17   Portugal 6 22 42 0.3 0.093 82 6 0 0 2 1891 1461 0.772 2958 91 64 41 78 92 86 0 2 11 4 10 0.715 73 90 10 12 0 14 14 16   Republic of Ireland 1 7 12 0.4 0.052 28 0 0 0 1 851 606 0.712 1433 43 18 8 45 78 43 1 0 23 9 17 0.654 43 51 11 6 1 10 10 17   Russia 5 9 31 0.2 0.125 59 2 0 0 1 1602 1345 0.839 2278 40 40 21 65 74 58 0 0 8 3 10 0.77 34 43 4 6 0 7 7 16   Spain 12 42 33 0.6 0.16 100 0 1 0 2 4317 3820 0.884 5585 69 106 44 122 102 79 0 5 8 1 15 0.938 102 83 19 11 0 17 17 18   Sweden 5 17 19 0.5 0.138 39 3 0 0 1 1192 965 0.809 1806 44 29 7 56 54 45 0 1 12 5 8 0.616 35 51 7 7 0 9 9 18   Ukraine 2 7 26 0.2 0.06 38 0 0 0 2 1276 1043

Programming with Microsoft Visual Basic 2017
8th Edition
ISBN:9781337102124
Author:Diane Zak
Publisher:Diane Zak
Chapter8: Arrays
Section: Chapter Questions
Problem 4E
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In PYTHON

 

  1. Print values from the Goal column only

  2. Print values only for columns: Team, Yellow Cards and Red Cards

  3. Find and print rows for teams that scored more than 6 goals

  4. Select the teams whose name start with a G

  5. Print values only for columns Team and Shooting Accuracy , and only for rows in which the team is either of the following: England, Italy and Spain

  6. Find and print rows for teams that scored more than 6 goals and at least 4000 passes

 

 

Team Goals Shots on target Shots off target Shooting Accuracy Goals-to-shots (perc) Total shots (inc. Blocked) Hit Woodwork Penalty goals Penalties not scored Headed goals Passes Passes completed Passing Accuracy Touches Crosses Dribbles Corners Taken Tackles Clearances Interceptions Clearances off line Clean Sheets Blocks Goals conceded Saves made Saves-to-shots ratio Fouls Won Fouls Conceded Offsides Yellow Cards Red Cards Subs on Subs off Players Used
Croatia 4 13 12 0.5 0.16 32 0 0 0 2 1076 828 0.769 1706 60 42 14 49 83 56   0 10 3 13 0.813 41 62 2 9 0 9 9 16  
Czech Republic 4 13 18 0.4 0.129 39 0 0 0 0 1565 1223 0.781 2358 46 68 21 62 98 37 2 1 10 6 9 0.601 53 73 8 7 0 11 11 19  
Denmark 4 10 10 0.5 0.2 27 1 0 0 3 1298 1082 0.833 1873 43 32 16 40 61 59 0 1 10 5 10 0.667 25 38 8 4 0 7 7 15  
England 5 11 18 0.5 0.172 40 0 0 0 3 1488 1200 0.806 2440 58 60 16 86 106 72 1 2 29 3 22 0.881 43 45 6 5 0 11 11 16  
France 3 22 24 0.4 0.065 65 1 0 0 0 2066 1803 0.872 2909 55 76 28 71 76 58 0 1 7 5 6 0.546 36 51 5 6 0 11 11 19  
Germany 10 32 32 0.5 0.156 80 2 1 0 2 2774 2427 0.874 3761 101 60 35 91 73 69 0 1 11 6 10 0.626 63 49 12 4 0 15 15 17  
Greece 5 8 18 0.3 0.192 32 1 1 1 0 1187 911 0.767 2016 52 53 10 65 123 87 0 1 23 7 13 0.651 67 48 12 9 1 12 12 20  
Italy 6 34 45 0.4 0.075 110 2 0 0 2 3016 2531 0.839 4363 75 75 30 98 137 136 1 2 18 7 20 0.741 101 89 16 16 0 18 18 19  
Netherlands 2 12 36 0.3 0.041 60 2 0 0 0 1556 1381 0.887 2163 50 49 22 34 41 41 0 0 9 5 12 0.706 35 30 3 5 0 7 7 15  
Poland 2 15 23 0.4 0.052 48 0 0 0 1 1059 852 0.804 1724 55 39 14 67 87 62 0 0 8 3 6 0.667 48 56 3 7 1 7 7 17  
Portugal 6 22 42 0.3 0.093 82 6 0 0 2 1891 1461 0.772 2958 91 64 41 78 92 86 0 2 11 4 10 0.715 73 90 10 12 0 14 14 16  
Republic of Ireland 1 7 12 0.4 0.052 28 0 0 0 1 851 606 0.712 1433 43 18 8 45 78 43 1 0 23 9 17 0.654 43 51 11 6 1 10 10 17  
Russia 5 9 31 0.2 0.125 59 2 0 0 1 1602 1345 0.839 2278 40 40 21 65 74 58 0 0 8 3 10 0.77 34 43 4 6 0 7 7 16  
Spain 12 42 33 0.6 0.16 100 0 1 0 2 4317 3820 0.884 5585 69 106 44 122 102 79 0 5 8 1 15 0.938 102 83 19 11 0 17 17 18  
Sweden 5 17 19 0.5 0.138 39 3 0 0 1 1192 965 0.809 1806 44 29 7 56 54 45 0 1 12 5 8 0.616 35 51 7 7 0 9 9 18  
Ukraine 2 7 26 0.2 0.06 38 0 0 0 2 1276 1043 0.817 1894 33 26 18 65 97 29 0 0 4 4 13 0.765 48 31 4 5 0 9 9 18  
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