How to filter row dataframe based on value of another dataframe

Question

How to get filter based data rows from Genre column coming from another dataframe?

I have dataframe movies as follows:

Movie_Name	Genre	Rating
Halloween	Crime, Horror, Thriller	6.5
Nope	Horror, Mystery, Sci-Fi	6.9
The Midnight Club	Drama, Horror, Mystery	6.7
The Northman	Action, Adventure, Drama	7.1
Prey	Action, Adventure, Drama	7.2
Uncharted	Action, Adventure	6.3
Sherwood	Crime, Drama, Mystery	7.4

I have dataframe user as follows:

User_Id	User_Name	Genre
100	Christine	Horror, Thriller, Drama

Output that i want like this :

Movie_Name	Genre	Rating
Halloween	Crime, Horror, Thriller	6.5
Nope	Horror, Mystery, Sci-Fi	6.9
The Midnight Club	Drama, Horror, Mystery	6.7
The Northman	Action, Adventure, Drama	7.1
Prey	Action, Adventure, Drama	7.2
Sherwood	Crime, Drama, Mystery	7.4

Because user like horror, thriller, and drama genres. How to make the code to get the output like above?

Asked By: Annisa Lianda

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Source

Answer 1

try this:

pattern = user['Genre'].str.replace(', ', '|')[0]
result = movies.query('Genre.str.contains(@pattern)')
print(result)

Answered By: ziying35

Answer 2

The example use a for loop to get a list for each user on df2

import pandas as pd
df=pd.read_csv("db1.csv",header=[0]) # movies
df2=pd.read_csv("db2.csv",header=[0]) # users

for ir,row in df2.iterrows():
    gen=row["Genre"].replace(",","|").replace(" ","")
    filtereddf=df[df["Genre"].str.contains(gen)]

Answered By: wrbp

How to filter row dataframe based on value of another dataframe

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