当Pandas列是列表或集合时，重新映射该列中的值

import pandas as pd

data = {'col1': [['a', 'b'], ['c', 'd'], ['e', 'f']],
        'col2': [1, 2, 3]}
df = pd.DataFrame(data)

def remap_values(value):
    mapping = {'a': 'apple', 'b': 'banana', 'c': 'cat', 'd': 'dog', 'e': 'elephant', 'f': 'fox'}
    return [mapping[v] for v in value]

df['col1'] = df['col1'].apply(lambda x: remap_values(x))

print(df)

import pandas as pd

data = {'col1': [['a', 'b'], ['c', 'd'], ['e', 'f']],
        'col2': [1, 2, 3]}
df = pd.DataFrame(data)

def remap_values(value):
    mapping = {'a': 'apple', 'b': 'banana', 'c': 'cat', 'd': 'dog', 'e': 'elephant', 'f': 'fox'}
    return [mapping[v] for v in value]

df['col1'] = df['col1'].apply(lambda x: remap_values(x))

print(df)

          col1  col2
0  [apple, banana]     1
1      [cat, dog]     2
2  [elephant, fox]     3