Wie man mehrere Schlüsselwörter mit einem Datenrahmen Spaltenwerte mit Pandas in Python zuordnen

Question

Hallo Ich habe eine Liste von Schlüsselwörtern.

keyword_list=['one','two'] 

DF, 

    Name  Description 
    Sri  Sri is one of the good singer in this two 
    Ram  Ram is one of the good cricket player 

Ich möchte die Zeilen finden, die alle Werte aus meiner Keyword_list haben.

meine gewünschte Ausgabe ist,

output_Df, 
    Name Description 
    Sri  Sri is one of the good singer in this two 

I tried, mask=DF['Description'].str.contains() method but I can do this only for a single word pls help. 

Answer 1

Verwenden np.logical_and + reduce aller von list comprehension erstellten Masken:

keyword_list=['one','two'] 

m = np.logical_and.reduce([df['Description'].str.contains(x) for x in keyword_list]) 
df1 = df[m] 
print (df1) 

    Name        Description 
0 Sri Sri is one of the good singer in this two 

Alternativen für Maske:

m = np.all([df['Description'].str.contains(x) for x in keyword_list], axis=0) 

#if no NaNs 
m = [set(x.split()) >= set(keyword_list) for x in df['Description']]