Answers for "apply function to each column with pandas"

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)

python pandas apply function to one column

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