如何将带有参数的函数应用于Pandas数据框

Question

I am trying to remove all accents in the data. I found a function but I am not able to apply the same on entire dataframe at once.

import unicodedata
import pandas as pd

def remove_accents(input_str):
    nfkd_form = unicodedata.normalize('NFKD', input_str)
    only_ascii = nfkd_form.encode('ASCII', 'ignore')
    return only_ascii


data = {'name': ['Guzmán', 'Molly'],
        'year': [2012, 2012]}
df = pd.DataFrame(data)
df

How can I apply the above function?

Is there any parameter in pandas read_csv that I can use to achieve similar output?

Answer 1

As others have pointed out, this is pretty straightforward:

df['name'] = df['name'].apply(remove_accents)

Also, in case you are using Python 3, I would recommend changing the last line of your remove_accents function. only_ascii is returning binary data, and it's usually best practice to keep unicode text as regular (Python 3) str .

def remove_accents(input_str):
    nfkd_form = unicodedata.normalize('NFKD', input_str)
    only_ascii = nfkd_form.encode('ASCII', 'ignore')
    return only_ascii.decode('utf-8')