如何檢索 Pandas DataFrame 中每行具有最大值的列的名稱？

通訊與搜尋業務一般生活方式<br>0 0.745763 0.050847 0.118644 0.084746<br>0 0.333333 0.00. 0.083333<br>0 0.617021 0.042553 0.297872 0.042553<br>0 0.435897 0.000000 0.410256 0.15384635338035 0.076923 0.410256 0.153846<br>

Communications and Search Business General Lifestyle Max<p>0 0.745763 0.050847 0.118644 0.084746 Communications <br>0 0.118644 0.084746 Communications <br>0 0.3033830303030303038 0.083333 商業 <br>0 0.617021 0.042553 0.297872 0.042553 通訊 <br>0 0.435897 0.000000 通訊 <br>0 0.435897 0.000000 通訊 <br>0 0.435897 0.000000 0.410256 . 0.076923 0.410256 0.153846 商業</p>

import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
    'Communications and Search': [0.745763, 0.333333, 0.617021, 0.435897, 0.358974],
    'Business': [0.050847, 0.000000, 0.042553, 0.000000, 0.076923],
    'General': [0.118644, 0.583333, 0.297872, 0.410256, 0.410256],
    'Lifestyle': [0.084746, 0.083333, 0.042553, 0.153846, 0.153846]
})

# Find the column index with the maximum value in each row
max_column_idxs = df.idxmax(axis=1)

# Create a new column with the column names
df['Max'] = max_column_idxs

# Display the updated DataFrame
print(df)