apply function to each row pandas code example

Example 1: pandas each row?

for index, row in df.iterrows():
    print(row["c1"], row["c2"])

Example 2: 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

Example 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)