Replace dots in a float column with nan in Python

Question

I have a data frame df like this

df = pd.DataFrame([
    {\'Name\': \'Chris\', \'Item Purchased\': \'Sponge\', \'Cost\': 22.50},
    {\'Name\': \'Kevyn\', \'         


        

Answer 1

Use DataFrame.replace with the regex=True switch.

df = df.replace('\.+', np.nan, regex=True)
df

         Cost Item Purchased   Name
Store 1  22.5         Sponge  Chris
Store 1   NaN   Kitty Litter  Kevyn
Store 2   NaN          Spoon  Filip

The pattern \.+ specifies one or more dots. You could also use [.]+ as a pattern to the same effect.