Set value for particular cell in pandas DataFrame using index

Question

I\'ve created a Pandas DataFrame

df = DataFrame(index=[\'A\',\'B\',\'C\'], columns=[\'x\',\'y\'])

and got this

    x    y
A  NaN         


        

Answer 1

set_value() is deprecated.

Starting from the release 0.23.4, Pandas "announces the future"...

>>> df
                   Cars  Prices (U$)
0               Audi TT        120.0
1 Lamborghini Aventador        245.0
2      Chevrolet Malibu        190.0
>>> df.set_value(2, 'Prices (U$)', 240.0)
__main__:1: FutureWarning: set_value is deprecated and will be removed in a future release.
Please use .at[] or .iat[] accessors instead

                   Cars  Prices (U$)
0               Audi TT        120.0
1 Lamborghini Aventador        245.0
2      Chevrolet Malibu        240.0

Considering this advice, here's a demonstration of how to use them:

• by row/column integer positions

---

>>> df.iat[1, 1] = 260.0
>>> df
                   Cars  Prices (U$)
0               Audi TT        120.0
1 Lamborghini Aventador        260.0
2      Chevrolet Malibu        240.0

• by row/column labels

---

>>> df.at[2, "Cars"] = "Chevrolet Corvette"
>>> df
                  Cars  Prices (U$)
0               Audi TT        120.0
1 Lamborghini Aventador        260.0
2    Chevrolet Corvette        240.0

References:

• pandas.DataFrame.iat
• pandas.DataFrame.at