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)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)add new row to dataframe pandas
# Add a new row at index k with values provided in list
dfObj.loc['k'] = ['Smriti', 26, 'Bangalore', 'India']Copyright © 2021 Codeinu
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