pandas apply function to every row

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Pablo
22 Nov 2017
1for index, row in df.iterrows():
2    print(row['c1'], row['c2'])
3
4Output: 
5   10 100
6   11 110
7   12 120
source
Vanessa
13 Aug 2020
1# Get rid of $ and , in the SAL-RATE, then convert it to a float
2def money_to_float(money_str):
3    return float(money_str.replace("$","").replace(",",""))
4
5df['SAL-RATE'].apply(money_to_float)
source
Noemi
08 Apr 2017
1def EOQ(D,p,ck,ch):
2    Q = math.sqrt((2*D*ck)/(ch*p))
3    return Q
4ch=0.2
5ck=5
6df['Q'] = df.apply(lambda row: EOQ(row['D'], row['p'], ck, ch), axis=1)
7df
source
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