Python熊猫-提取并替换

Question

I have a Pandas data frame column containing elements similar to the string McNally, King (XYZ) . I would like to keep the last name, first name and remove everything else. Therefore after cleaning McNally, King (XYZ) should be McNally, King .

I have tried following two functions but not getting the desired result:

df['name'] = df['name'].str.extract(r'\w+\,\s[A-Z][a-z]+', expand=False)

df['name'] = df['name'].replace({r'\w+\,\s[A-Z][a-z]+' : r'\w+\,\s[A-Z][a-z]+'}, regex=True)

Second code replaces the substring with the regex itself, while the first code extracts the names from the string but I want to keep the name and remove everything else followed by the name.

Edit: Sample data:

Reyes, Rebecca  L (XYZ)
Derry, Odd     P (XYZ)
Garza, Per-Laura   A (MNP)
Fernandez, Rafael   Carl (XYZ)

Expected output:

Reyes, Rebecca
Derry, Odd
Garza, Per-Laura
Fernandez, Rafael

I would like to edit-in-place ie modify the existing datafame itself and not creating a new one.

Answer 1

You can try something like this:

df = pd.DataFrame({'name':['McNally, King  (XYZ)']}, index=[0])
df['name'].str.extract(r'(\w+,\s\w+)')

Output:

0    McNally, King
Name: name, dtype: object