prefomring a function on an entire dataframe at once code example
Example 1: 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)
Example 2: lambda in pandas
Series.apply(lambda x: x**2)
#x represent the cell value and x**2 is your function