pandas loop through rows
for index, row in df.iterrows():
print(row['c1'], row['c2'])
Output:
10 100
11 110
12 120pandas loop through rows
for index, row in df.iterrows():
print(row['c1'], row['c2'])
Output:
10 100
11 110
12 120pandas 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)Copyright © 2021 Codeinu
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