Question

我想提取数据框中几列的模式并将它们存储在列表中。

mode_list = ['Race','Education','Gender','Married','Housing','HH size']
mode_values =[]

counter = 0
while counter < len(mode_list):
    mode_value = df[str(mode_list[counter])].mode()
    mode_values.append(mode_value)
    counter = counter + 1

我希望列表中的模式值如下所示：

['White','High School','Female','Single','Rental',1]

相反，它们看起来像这样：

[0    White
dtype: object, 0    High School
dtype: object, 0    Female
dtype: object, 0    Single
dtype: object, 0    Rental
dtype: object, 0    1.0
dtype: float64]

如何抑制 dtype 值和 0？

Answer 1

做：

import pandas as pd

# dummy setup
mode_list = ['Race', 'Education', 'Gender', 'Married', 'Housing', 'HH size']
df = pd.DataFrame(data=[['White', 'High School', 'Female', 'Single', 'Rental', 1]], columns=mode_list)

# extract mode
mode_values = df[mode_list].mode().values[0].tolist()
print(mode_values)

输出

['White', 'High School', 'Female', 'Single', 'Rental', 1]

从 Pandas 模式值中删除 dtype 信息

1 个答案: