Pandas apply function to column

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

Source: stackoverflow.com

Pandas apply function to column

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

Source: stackoverflow.com

Python pandas apply function to one column

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

Source: stackoverflow.com

Apply a created function pandas

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

Source: stackoverflow.com

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Num = [7,8, 120, 25, 44, 20, 27] newnum = [] def remove_even(num): for i in num: if i%2 != 0: newnum.append(i) return newnum print("get_unevens") test(remove_even(num), [7,25,27])
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