Pandas: apply a specific function to columns and create column in new dataframe

Question

I have a dataframe df1 , like this:

date        sentence
29/03/1029  i like you
.....

I want to create new dataframe df2 like this:

date         verb    object
29/03/2019   like    you
....

with the function like this:

def getSplit(df1):
    verbList = []
    objList  = []
    df2 = pd.DataFrame()
    for row in df1['sentence']:
        verb = getVerb(row)
        obj  = getObj(row)
        verbList.append(verb)
        objList.append(obj)
    df2 = df1[[date]].copy
    df2['verb'] = verbList
    df2['object'] = objList
    return df2

my function run well, but it's slow. Could someone help me improve the function so that can run faster?

Thank you

Answer 1

You can Use apply method of pandas to process fast:-

getverb(row):
    pass  # Your function
getobj(row):
    passs # Your function
df2 = df1.copy()  # Making copy of your dataframe.

df2['verb'] = df2['sentence'].apply(getverb)
df2['obj'] = df2['sentence'].apply(getobj)
df2.drop('sentence', axis=1, inplace=True)  # Droping sentence column
df2

I hope it may help you. (accept and upvote answer)