我试图定位元素“worldwide_gross”，将属于每个电影导演的每部电影相加，然后返回一个以电影导演的名字作为键的散列以及他们所有电影的“worldwide_gross”的总和作为一个值。
result = Hash.new(0)
i = 0 #which movie director's hash we're on
while i < nds.length do
j = 0 # which key in each director's hash
while j < nds[i][:movies].length do
total += nds[i][:movies][j][:worldwide_gross].to_i
j += 1
end
i += 1
result[name] = total
end
return result
数据结构如下:
nds = [{
:name => "Stephen Spielberg",
:movies => [{
:title => "Jaws",
:studio => "Universal",
:worldwide_gross => 260000000,
:release_year => 1975
}, {
:title => "Close Encounters of the Third Kind",
:studio => "Columbia",
:worldwide_gross => 135189114,
:release_year => 1977
}, {
:title => "Raiders of the Lost Ark",
:studio => "Paramount",
:worldwide_gross => 248159971,
:release_year => 1981
}, {
:title => "E.T. the Extra-terrestrial",
:studio => "Universal",
:worldwide_gross => 435110554,
:release_year => 1982
}, {
:title => "Schindler's List",
:studio => "Universal",
:worldwide_gross => 96898818,
:release_year => 1993
}, {
:title => "Lincoln",
:studio => "Buena Vista",
:worldwide_gross => 182207973,
:release_year => 2012
}]
}, {
:name => "Russo Brothers",
:movies => [{
:title => "Avengers Endgame",
:studio => "Buena Vista",
:worldwide_gross => 858371337,
:release_year => 2019
}, {
:title => "Avengers Infinity War",
:studio => "Buena Vista",
:worldwide_gross => 678815482,
:release_year => 2018
}, {
:title => "Captain America Civil War",
:studio => "Buena Vista",
:worldwide_gross => 408084349,
:release_year => 2016
}, {
:title => "Captain America The Winter Soldier",
:studio => "Buena Vista",
:worldwide_gross => 259766572,
:release_year => 2014
}, {
:title => "You, Me and Dupree",
:studio => "Universal",
:worldwide_gross => 75628110,
:release_year => 2006
}, {
:title => "Welcome to Collinwood",
:studio => "Warner Brothers",
:worldwide_gross => 336620,
:release_year => 2002
}]
}, {
:name => "James Cameron",
:movies => [{
:title => "Avatar",
:studio => "Fox",
:worldwide_gross => 760507625,
:release_year => 2009
}, {
:title => "Titanic",
:studio => "Paramout",
:worldwide_gross => 659363944,
:release_year => 1997
}, {
:title => "Titanic",
:studio => "Paramout",
:worldwide_gross => 659363944,
:release_year => 1997
}, {
:title => "Terminator 2 Judgment Day",
:studio => "TriStar",
:worldwide_gross => 205881154,
:release_year => 1991
}, {
:title => "True Lies",
:studio => "Fox",
:worldwide_gross => 146282411,
:release_year => 1994
}, {
:title => "Aliens",
:studio => "Fox",
:worldwide_gross => 85160248,
:release_year => 1986
}, {
:title => "The Abyss",
:studio => "Fox",
:worldwide_gross => 54461047,
:release_year => 1989
}]
}, {
:name => "Spike Lee",
:movies => [{
:title => "Inside Man",
:studio => "Universal",
:worldwide_gross => 88513495,
:release_year => 2006
}, {
:title => "BlacKkKlansman",
:studio => "Focus",
:worldwide_gross => 49275340,
:release_year => 2018
}, {
:title => "Malcolm X",
:studio => "Warner Brothers",
:worldwide_gross => 48169910,
:release_year => 1992
}, {
:title => "The Original Kings of Comedy",
:studio => "Paramount",
:worldwide_gross => 38182790,
:release_year => 2000
}, {
:title => "Jungle Fever",
:studio => "Universal",
:worldwide_gross => 32482682,
:release_year => 1991
}]
}, {
:name => "Wachowski Siblings",
:movies => [{
:title => "The Matrix Reloaded",
:studio => "Warner Brothers",
:worldwide_gross => 281576461,
:release_year => 2003
}, {
:title => "The Matrix",
:studio => "Warner Brothers",
:worldwide_gross => 171479930,
:release_year => 1999
}, {
:title => "The Matrix Revolutions",
:studio => "Warner Brothers",
:worldwide_gross => 139313948,
:release_year => 2003
}, {
:title => "Jupiter Ascending",
:studio => "Warner Brothers",
:worldwide_gross => 139313948,
:release_year => 2015
}, {
:title => "Speed Racer",
:studio => "Warner Brothers",
:worldwide_gross => 47387723,
:release_year => 2008
}, {
:title => "Cloud Atlas",
:studio => "Warner Brothers",
:worldwide_gross => 27108272,
:release_year => 2012
}]
}, {
:name => "Robert Zemeckis",
:movies => [{
:title => "Forrest Gump",
:studio => "Paramount",
:worldwide_gross => 330455270,
:release_year => 1994
}, {
:title => "Cast Away",
:studio => "Fox",
:worldwide_gross => 233632142,
:release_year => 2000
}, {
:title => "Back to the Future",
:studio => "Universal",
:worldwide_gross => 210609762,
:release_year => 1985
}, {
:title => "The Polar Express",
:studio => "Warner Brothers",
:worldwide_gross => 187224490,
:release_year => 2004
}, {
:title => "Who Framed Roger Rabbit",
:studio => "Buena Vista",
:worldwide_gross => 156452370,
:release_year => 1988
}, {
:title => "What Lies Beneath",
:studio => "Dreamworks",
:worldwide_gross => 155464351,
:release_year => 2000
}]
}, {
:name => "Quentin Tarantino",
:movies => [{
:title => "Django Unchained",
:studio => "Weinstein",
:worldwide_gross => 162805434,
:release_year => 2012
}, {
:title => "Once Upon a Time in Hollywood",
:studio => "Sony",
:worldwide_gross => 135156125,
:release_year => 2019
}, {
:title => "Inglourious Basterds",
:studio => "Weinstein",
:worldwide_gross => 120540719,
:release_year => 2009
}, {
:title => "Pulp Fiction",
:studio => "Miramax",
:worldwide_gross => 107928762,
:release_year => 1994
}, {
:title => "Kill Bill Vol. 1",
:studio => "Miramax",
:worldwide_gross => 70099045,
:release_year => 2003
}, {
:title => "Kill Bill Vol. 1",
:studio => "Miramax",
:worldwide_gross => 66208183,
:release_year => 2004
}]
}, {
:name => "Martin Scorsese",
:movies => [{
:title => "The Departed",
:studio => "Warner Brothers",
:worldwide_gross => 132384315,
:release_year => 2006
}, {
:title => "Shutter Island",
:studio => "Paramous",
:worldwide_gross => 128012934,
:release_year => 2010
}, {
:title => "The Wolf of Wall Street",
:studio => "Paramount",
:worldwide_gross => 116900694,
:release_year => 2013
}, {
:title => "The Aviator",
:studio => "Miramax",
:worldwide_gross => 102610330,
:release_year => 2004
}, {
:title => "Cape Fear",
:studio => "Universal",
:worldwide_gross => 79091969,
:release_year => 1991
}, {
:title => "Gangs of New York",
:studio => "Miramax",
:worldwide_gross => 77812000,
:release_year => 2002
}]
}, {
:name => "Francis Ford Coppola",
:movies => [{
:title => "The Godfather",
:studio => "Paramount",
:worldwide_gross => 134966411,
:release_year => 1972
}, {
:title => "Apocalypse Now",
:studio => "MGM",
:worldwide_gross => 83471511,
:release_year => 1979
}, {
:title => "Apocalypse Now Redux",
:studio => "Miramax",
:worldwide_gross => 83471511,
:release_year => 2001
}, {
:title => "Bram Stoker's Dracula",
:studio => "Columbia",
:worldwide_gross => 82522790,
:release_year => 1992
}, {
:title => "The Godfather Part III",
:studio => "Paramount",
:worldwide_gross => 66666062,
:release_year => 1990
}, {
:title => "Jack",
:studio => "Buena Vista",
:worldwide_gross => 58620973,
:release_year => 1996
}]
}]
预期的哈希值是
{
"Stephen Spielberg"=>1357566430,
"Russo Brothers"=>2281002470,
"James Cameron"=>2571020373,
"Spike Lee"=>256624217,
"Wachowski Siblings"=>806180282,
"Robert Zemeckis"=>1273838385,
"Quentin Tarantino"=>662738268,
"Martin Scorsese"=>636812242,
"Francis Ford Coppola"=>509719258
}
我的输出没有返回，因为它说 nil 无法添加到总数中。
最佳答案
您可以使用Enumerable#to_h
# to_h example
# (1..3).to_h { |num| [num, num + 10] } #=> {1=>11, 2=>12, 3=>13}
pp nds.to_h do |director|
[director[:name], director[:movies].sum { |movie| movie[:worldwide_gross] }]
end
输出
{
"Stephen Spielberg"=>1357566430,
"Russo Brothers"=>2281002470,
"James Cameron"=>2571020373,
"Spike Lee"=>256624217,
"Wachowski Siblings"=>806180282,
"Robert Zemeckis"=>1273838385,
"Quentin Tarantino"=>662738268,
"Martin Scorsese"=>636812242,
"Francis Ford Coppola"=>509719258
}
关于ruby - 有没有办法使用两个 while 循环对 NDS 中子哈希的元素求和？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/58549777/