pandas - How to lookup values for multiple columns in one dataframe from another -

-



i have dataframe (df1) movie titles:

movie1              movie2              desired dinosaur planet     screamers           favorite brunette immortal beloved    strange relations   chump change clifford            lady chatterley     invader zim

and dataframe (df2) vector representations of each movie:

id  year    title              genre            word vector 1   2003.0  dinosaur planet    documentary      [-0.55423898, -0.72544044, 0.33189204, -0.1720... 2   2004.0  isle of man        sports & fitness [-0.373265237, -1.07549703, -0.469254494, -0.4... 3   1997.0  character          foreign          [-1.57682264, -0.91265768, 2.43038678, -0.2114... 4   1994.0  & dance     sports & fitness [0.3096168, -0.57186663, 0.39008939, 0.2868615...

my goal sum movie1 + movie2 in df1 , find closest matches in df2 using cosine similarity , see if matches desired result in in df1. this, need find vector representation of each movie in df1 , sum first 2 columns.

i've written function looks movie vectors df2

def find_movie_vec(movie_str, df): ''' given movie string , dataframe 'title' feature, find movies titles containing string assumes no ambiguity within movie string title ''' row = df[df['title'].str.contains(movie_str)] return row.iloc[0]['word vector']

i'm unsure how apply across dataframe , make separate column vector representation of movie1, movie2, , desired movie. tried:

df1.apply(find_movie_vec(...))

however apply takes in 1 argument functions thinking along lines of:

df1.apply(lambda x, y: find_movie_vec(df1['movie1'], df2) + find_movie_vec(df1['movie2']), df2))

but i'm not sure if cleanest or correct approach. suggestions appreciated!





wiki

Comments

Post a Comment

Popular posts from this blog

python - Read npy file directly from S3 StreamingBody -

-
i have many .npy (numpy) , .json files saved in s3, need download , load these files. for json files downloading files , loading dictionary using following code: obj = s3.object(bucket, key) response = obj.get() body = response['body'].read().decode('utf-8') data = json.loads(body) that way avoid writing .json file disk , reading it. now want same .npy files, equivalent? currently downloading file, saving temp file on disk , loading np.load avoid if possible. following https://stackoverflow.com/a/28196540/3509999 : obj = s3.object(bucket, key) io.bytesio(obj.get()["body"].read()) f: # rewind file f.seek(0) arr = np.load(f) wiki
Read more

kotlin - Out-projected type in generic interface prohibits the use of metod with generic parameter -

-
i start using kotlin , defined interface this: interface aadapter<vh : recyclerview.viewholder> { fun oncreateaviewholder(parent: viewgroup): vh fun onbindaviewholder(v: vh, position: int) } and when try use on code: class klasa ( private val adapter: aadapter<*> ) { fun dosth(){ //... val vh = this.adapter.oncreateaviewholder(parent) //on below line error adapter.onbindaviewholder(v, position) //... } } i error out-projected type 'aadapter<*>' prohibits use of 'public abstract fun onbindaviewholder(v: t, position: int): unit i tied add "in" or "out" definition i'm confused. how allow it. replace aadapter<*> aadapter<recyclerview.viewholder> . class klasa ( private val adapter: aadapter<recyclerview.viewholder> ) { // ... because have declared aadapter has type parameter vh type subclass of recyclerview....
Read more

Asterisk AGI Python Script to Dialplan does not work -

-
i'm stuck project have check database of sip extension incoming caller id , dial sip extension. below receive when run script on asterisk cli. -- registered sip '9125' @ 192.168.1.102:50142 > saved useragent "zoiper rv2.8.40" peer 9125 [2017-08-22 13:53:33] notice[5095]: chan_sip.c:24558 handle_response_peerpoke: peer '9125' reachable. (17ms / 2000ms) == using sip rtp tos bits 184 == using sip rtp cos mark 5 -- executing [0112617769@from-trunk:1] answer("sip/obitrunk1-0000000d", "") in new stack > 0x1ca50d0 -- probation passed - setting rtp source address 192.168.1.98:16834 -- executing [0112617769@from-trunk:2] agi("sip/obitrunk1-0000000d", "test.py") in new stack -- launched agi script /var/lib/asterisk/agi-bin/test.py args: ['/var/lib/asterisk/agi-bin/test.py'] env line: agi_request: test.py env line: agi_channel: sip/obitrunk1-0000000d env line: agi_language: en env line: a...
Read more