如何替换类表矩阵中的值？

import pandas as pd

# 创建一个示例类表矩阵
data = {
    'A': ['cat', 'dog', 'cat', 'bird'],
    'B': ['red', 'blue', 'green', 'blue']
}
df = pd.DataFrame(data)

# 替换值
replacement_dict = {'cat': 'feline', 'dog': 'canine', 'bird': 'avian', 'red': 'crimson', 'blue': 'azure', 'green': 'verdant'}

# 应用替换
df_replaced = df.replace(replacement_dict)

print(df_replaced)

import numpy as np

# 创建一个示例类表矩阵
matrix = np.array([
    ['cat', 'red'],
    ['dog', 'blue'],
    ['cat', 'green'],
    ['bird', 'blue']
])

# 替换值
replacement_dict = {'cat': 'feline', 'dog': 'canine', 'bird': 'avian', 'red': 'crimson', 'blue': 'azure', 'green': 'verdant'}

# 创建一个映射数组
unique_values = np.unique(matrix)
value_to_index = {value: i for i, value in enumerate(unique_values)}
index_to_value = {i: replacement_dict[value] for i, value in enumerate(unique_values)}

# 应用替换
replaced_matrix = np.vectorize(index_to_value.get)(np.vectorize(value_to_index.get)(matrix))

print(replaced_matrix)

# 调试示例
print("Original Matrix:")
print(matrix)
print("Replacement Dictionary:")
print(replacement_dict)
print("Mapped Values:")
print(value_to_index)
print("Replaced Matrix:")
print(replaced_matrix)