Renaming values in list in a pandas column-CodePudding

I need to rename values in a list contained in a pandas column and keep unique values if duplicates exist within the list. Please note that I want to apply this to a pandas column.

text                   matches
flowers are red.       [red,yellow,pink]
airplanes are blue.    [blue, indigo]
xxxxxxxx               [orange]

I need to replace pink and yellow with red and blue with indigo. Since red and blue already exist in the list, I just want to keep one red and one blue. My code looks like this

    df["rename"] = df["matches"].str.replace("pink","red")

I need my output to look like this:

text                   matches            rename         final
flowers are red.       [red,pink]         [red, red]     [red]
airplanes are blue.    [blue, indigo]     [blue, blue]   [blue] 
xxxxxxxx               [orange]           [orange]       [orange]

Thank you in advance!

CodePudding user response：

Here is a work around using apply and lambda

df['rename'] = df['matches'].apply(lambda x: [i.replace('pink', 'red').replace('indigo', 'blue') for i in x])
df['final'] = df['rename'].apply(lambda x: list(set(x))) 

print(df)

                  text         matches            rename     final
0     flowers are red.     [red, pink]        [red, red]     [red]
1  airplanes are blue.  [blue, indigo]      [blue, blue]    [blue]
2             xxxxxxxx        [orange]          [orange]  [orange]