以下是我的问题中的数据。这是一组基于电影评论家的代码。一行=评论者的一次评论。
bigdataframe
Out[43]:
movie id movietitle releasedate \
0 1 Toy Story (1995) 01-Jan-1995
1 4 Get Shorty (1995) 01-Jan-1995
2 5 Copycat (1995) 01-Jan-1995
3 7 Twelve Monkeys (1995) 01-Jan-1995
4 8 Babe (1995) 01-Jan-1995
5 9 Dead Man Walking (1995) 01-Jan-1995
6 11 Seven (Se7en) (1995) 01-Jan-1995
7 12 Usual Suspects, The (1995) 14-Aug-1995
8 15 Mr. Holland's Opus (1995) 29-Jan-1996
9 17 From Dusk Till Dawn (1996) 05-Feb-1996
10 19 Antonia's Line (1995) 01-Jan-1995
11 21 Muppet Treasure Island (1996) 16-Feb-1996
12 22 Braveheart (1995) 16-Feb-1996
13 23 Taxi Driver (1976) 16-Feb-1996
14 24 Rumble in the Bronx (1995) 23-Feb-1996
15 25 Birdcage, The (1996) 08-Mar-1996
16 28 Apollo 13 (1995) 01-Jan-1995
17 30 Belle de jour (1967) 01-Jan-1967
18 31 Crimson Tide (1995) 01-Jan-1995
19 32 Crumb (1994) 01-Jan-1994
20 42 Clerks (1994) 01-Jan-1994
21 44 Dolores Claiborne (1994) 01-Jan-1994
22 45 Eat Drink Man Woman (1994) 01-Jan-1994
23 47 Ed Wood (1994) 01-Jan-1994
24 48 Hoop Dreams (1994) 01-Jan-1994
25 49 I.Q. (1994) 01-Jan-1994
26 50 Star Wars (1977) 01-Jan-1977
27 54 Outbreak (1995) 01-Jan-1995
28 55 Professional, The (1994) 01-Jan-1994
29 56 Pulp Fiction (1994) 01-Jan-1994
... ... ...
99970 332 Kiss the Girls (1997) 01-Jan-1997
99971 334 U Turn (1997) 01-Jan-1997
99972 338 Bean (1997) 01-Jan-1997
99973 346 Jackie Brown (1997) 01-Jan-1997
99974 682 I Know What You Did Last Summer (1997) 17-Oct-1997
99975 873 Picture Perfect (1997) 01-Aug-1997
99976 877 Excess Baggage (1997) 01-Jan-1997
99977 886 Life Less Ordinary, A (1997) 01-Jan-1997
99978 1527 Senseless (1998) 09-Jan-1998
99979 272 Good Will Hunting (1997) 01-Jan-1997
99980 288 Scream (1996) 20-Dec-1996
99981 294 Liar Liar (1997) 21-Mar-1997
99982 300 Air Force One (1997) 01-Jan-1997
99983 310 Rainmaker, The (1997) 01-Jan-1997
99984 313 Titanic (1997) 01-Jan-1997
99985 322 Murder at 1600 (1997) 18-Apr-1997
99986 328 Conspiracy Theory (1997) 08-Aug-1997
99987 333 Game, The (1997) 01-Jan-1997
99988 338 Bean (1997) 01-Jan-1997
99989 346 Jackie Brown (1997) 01-Jan-1997
99990 354 Wedding Singer, The (1998) 13-Feb-1998
99991 362 Blues Brothers 2000 (1998) 06-Feb-1998
99992 683 Rocket Man (1997) 01-Jan-1997
99993 689 Jackal, The (1997) 01-Jan-1997
99994 690 Seven Years in Tibet (1997) 01-Jan-1997
99995 748 Saint, The (1997) 14-Mar-1997
99996 751 Tomorrow Never Dies (1997) 01-Jan-1997
99997 879 Peacemaker, The (1997) 01-Jan-1997
99998 894 Home Alone 3 (1997) 01-Jan-1997
99999 901 Mr. Magoo (1997) 25-Dec-1997
videoreleasedate IMDb URL \
0 NaN http://us.imdb.com/M/title-exact?Toy%20Story%2...
1 NaN http://us.imdb.com/M/title-exact?Get%20Shorty%...
2 NaN http://us.imdb.com/M/title-exact?Copycat%20(1995)
3 NaN http://us.imdb.com/M/title-exact?Twelve%20Monk...
4 NaN http://us.imdb.com/M/title-exact?Babe%20(1995)
5 NaN http://us.imdb.com/M/title-exact?Dead%20Man%20...
6 NaN http://us.imdb.com/M/title-exact?Se7en%20(1995)
7 NaN http://us.imdb.com/M/title-exact?Usual%20Suspe...
8 NaN http://us.imdb.com/M/title-exact?Mr.%20Holland...
9 NaN http://us.imdb.com/M/title-exact?From%20Dusk%2...
10 NaN http://us.imdb.com/M/title-exact?Antonia%20(1995)
11 NaN http://us.imdb.com/M/title-exact?Muppet%20Trea...
12 NaN http://us.imdb.com/M/title-exact?Braveheart%20...
13 NaN http://us.imdb.com/M/title-exact?Taxi%20Driver...
14 NaN http://us.imdb.com/M/title-exact?Hong%20Faan%2...
15 NaN http://us.imdb.com/M/title-exact?Birdcage,%20T...
16 NaN http://us.imdb.com/M/title-exact?Apollo%2013%2...
17 NaN http://us.imdb.com/M/title-exact?Belle%20de%20...
18 NaN http://us.imdb.com/M/title-exact?Crimson%20Tid...
19 NaN http://us.imdb.com/M/title-exact?Crumb%20(1994)
20 NaN http://us.imdb.com/M/title-exact?Clerks%20(1994)
21 NaN http://us.imdb.com/M/title-exact?Dolores%20Cla...
22 NaN http://us.imdb.com/M/title-exact?Yinshi%20Nan%...
23 NaN http://us.imdb.com/M/title-exact?Ed%20Wood%20(...
24 NaN http://us.imdb.com/M/title-exact?Hoop%20Dreams...
25 NaN http://us.imdb.com/M/title-exact?I.Q.%20(1994)
26 NaN http://us.imdb.com/M/title-exact?Star%20Wars%2...
27 NaN http://us.imdb.com/M/title-exact?Outbreak%20(1...
28 NaN http://us.imdb.com/Title?L%E9on+(1994)
29 NaN http://us.imdb.com/M/title-exact?Pulp%20Fictio...
... ...
99970 NaN http://us.imdb.com/M/title-exact?Kiss+the+Girl...
99971 NaN http://us.imdb.com/Title?U+Turn+(1997)
99972 NaN http://us.imdb.com/M/title-exact?Bean+(1997)
99973 NaN http://us.imdb.com/M/title-exact?imdb-title-11...
99974 NaN http://us.imdb.com/M/title-exact?I+Know+What+Y...
99975 NaN http://us.imdb.com/M/title-exact?Picture+Perfe...
99976 NaN http://us.imdb.com/M/title-exact?Excess+Baggag...
99977 NaN http://us.imdb.com/M/title-exact?Life+Less+Ord...
99978 NaN http://us.imdb.com/M/title-exact?imdb-title-12...
99979 NaN http://us.imdb.com/M/title-exact?imdb-title-11...
99980 NaN http://us.imdb.com/M/title-exact?Scream%20(1996)
99981 NaN http://us.imdb.com/Title?Liar+Liar+(1997)
99982 NaN http://us.imdb.com/M/title-exact?Air+Force+One...
99983 NaN http://us.imdb.com/M/title-exact?Rainmaker,+Th...
99984 NaN http://us.imdb.com/M/title-exact?imdb-title-12...
99985 NaN http://us.imdb.com/M/title-exact?Murder%20at%2...
99986 NaN http://us.imdb.com/M/title-exact?Conspiracy+Th...
99987 NaN http://us.imdb.com/M/title-exact?Game%2C+The+(...
99988 NaN http://us.imdb.com/M/title-exact?Bean+(1997)
99989 NaN http://us.imdb.com/M/title-exact?imdb-title-11...
99990 NaN http://us.imdb.com/M/title-exact?Wedding+Singe...
99991 NaN http://us.imdb.com/M/title-exact?Blues+Brother...
99992 NaN http://us.imdb.com/M/title-exact?Rocket+Man+(1...
99993 NaN http://us.imdb.com/M/title-exact?Jackal%2C+The...
99994 NaN http://us.imdb.com/M/title-exact?Seven+Years+i...
99995 NaN http://us.imdb.com/M/title-exact?Saint%2C%20Th...
99996 NaN http://us.imdb.com/M/title-exact?imdb-title-12...
99997 NaN http://us.imdb.com/M/title-exact?Peacemaker%2C...
99998 NaN http://us.imdb.com/M/title-exact?imdb-title-11...
99999 NaN http://us.imdb.com/M/title-exact?imdb-title-11...
unknown Action Adventure Animation Childrens ... Western \
0 0 0 0 1 1 ... 0
1 0 1 0 0 0 ... 0
2 0 0 0 0 0 ... 0
3 0 0 0 0 0 ... 0
4 0 0 0 0 1 ... 0
5 0 0 0 0 0 ... 0
6 0 0 0 0 0 ... 0
7 0 0 0 0 0 ... 0
8 0 0 0 0 0 ... 0
9 0 1 0 0 0 ... 0
10 0 0 0 0 0 ... 0
11 0 1 1 0 0 ... 0
12 0 1 0 0 0 ... 0
13 0 0 0 0 0 ... 0
14 0 1 1 0 0 ... 0
15 0 0 0 0 0 ... 0
16 0 1 0 0 0 ... 0
17 0 0 0 0 0 ... 0
18 0 0 0 0 0 ... 0
19 0 0 0 0 0 ... 0
20 0 0 0 0 0 ... 0
21 0 0 0 0 0 ... 0
22 0 0 0 0 0 ... 0
23 0 0 0 0 0 ... 0
24 0 0 0 0 0 ... 0
25 0 0 0 0 0 ... 0
26 0 1 1 0 0 ... 0
27 0 1 0 0 0 ... 0
28 0 0 0 0 0 ... 0
29 0 0 0 0 0 ... 0
... ... ... ... ... ... ...
99970 0 0 0 0 0 ... 0
99971 0 1 0 0 0 ... 0
99972 0 0 0 0 0 ... 0
99973 0 0 0 0 0 ... 0
99974 0 0 0 0 0 ... 0
99975 0 0 0 0 0 ... 0
99976 0 0 1 0 0 ... 0
99977 0 0 0 0 0 ... 0
99978 0 0 0 0 0 ... 0
99979 0 0 0 0 0 ... 0
99980 0 0 0 0 0 ... 0
99981 0 0 0 0 0 ... 0
99982 0 1 0 0 0 ... 0
99983 0 0 0 0 0 ... 0
99984 0 1 0 0 0 ... 0
99985 0 0 0 0 0 ... 0
99986 0 1 0 0 0 ... 0
99987 0 0 0 0 0 ... 0
99988 0 0 0 0 0 ... 0
99989 0 0 0 0 0 ... 0
99990 0 0 0 0 0 ... 0
99991 0 1 0 0 0 ... 0
99992 0 0 0 0 0 ... 0
99993 0 1 0 0 0 ... 0
99994 0 0 0 0 0 ... 0
99995 0 1 0 0 0 ... 0
99996 0 1 0 0 0 ... 0
99997 0 1 0 0 0 ... 0
99998 0 0 0 0 1 ... 0
99999 0 0 0 0 0 ... 0
类型是动作冒险动画儿童...西方。有大约20种类型，但数据框架并没有全部打印出来。我怎样才能弄清楚哪些评论将他们的电影归类为至少2种类型？这意味着他们说电影属于动作和戏剧两种类型。
由于每个类型都在自己的数据帧列中，我对如何执行此操作感到有点困惑。如果有一个数据帧列，我会简单地使用groupby，因为它可以很好地处理类型和它们的数量。
任何见解都会有所帮助！
编辑：作为示例，您可以看到电影＆＃34; 0＆＃34;玩具故事被归类为动画和儿童故事，因为它在两列中都有1。
答案 0 :(得分：1)
基本上，您只对类型列总和大于1的行感兴趣。
对于所有列，df = df[df.sum(axis=1) > 1]可以自动忽略非数字列。
这里真正的问题是如何仅对类型列求和（因为movie id列似乎也是数字）。
如果你有一个外部的流派列表，你可以使用它，即
df = df[df[['Horror', 'Comedy']].sum(axis=1) > 1]。