Answers for "how to apply lambda function on rows in pandas"

3

pandas apply function to every row

# Get rid of $ and , in the SAL-RATE, then convert it to a float
def money_to_float(money_str):
    return float(money_str.replace("$","").replace(",",""))

df['SAL-RATE'].apply(money_to_float)
Posted by: Guest on February-23-2020
3

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
Posted by: Guest on August-23-2020

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