pandas apply function to column

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pandas apply function to column -

df['a'] = df['a'].apply(lambda x: x + 1)

python pandas apply function to one column -

df['a'] = df['a'].apply(lambda x: x + 1)

pandas apply function to each row lambda -

def EOQ(D,p,ck,ch):
    Q = math.sqrt((2*D*ck)/(ch*p))
    return Q
ch=0.2
ck=5
df['Q'] = df.apply(lambda row: EOQ(row['D'], row['p'], ck, ch), axis=1)
df

apply a created function pandas -

df['column']=df['column'].apply(function)

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