創建字典并添加來自另一個資料集的出現次數

我需要幫助撰寫 for 回圈來將元素在資料集中出現的次數添加到字典理解的值中。

這是示例資料集：

salary_data = 
{'Age': '39', 'Education': 'E - Bachelors', 'Occupation': 'Adm-clerical', 'Relationship': 'Not-in-family', 'Race': 'White', 'Sex': 'Male', 'Target': '<=50K'}
{'Age': '50', 'Education': 'E - Bachelors', 'Occupation': 'Exec-managerial', 'Relationship': 'Husband', 'Race': 'White', 'Sex': 'Male', 'Target': '<=50K'}
{'Age': '38', 'Education': 'B - HS Diploma', 'Occupation': 'Handlers-cleaners', 'Relationship': 'Not-in-family', 'Race': 'White', 'Sex': 'Male', 'Target': '<=50K'}
{'Age': '53', 'Education': 'A - No HS Diploma', 'Occupation': 'Handlers-cleaners', 'Relationship': 'Husband', 'Race': 'Black', 'Sex': 'Male', 'Target': '<=50K'}
{'Age': '28', 'Education': 'E - Bachelors', 'Occupation': 'Prof-specialty', 'Relationship': 'Wife', 'Race': 'Black', 'Sex': 'Female', 'Target': '<=50K'}
{'Age': '37', 'Education': 'F - Graduate Degree', 'Occupation': 'Exec-managerial', 'Relationship': 'Wife', 'Race': 'White', 'Sex': 'Female', 'Target': '<=50K'}
{'Age': '49', 'Education': 'A - No HS Diploma', 'Occupation': 'Other-service', 'Relationship': 'Not-in-family', 'Race': 'Black', 'Sex': 'Female', 'Target': '<=50K'}
{'Age': '52', 'Education': 'B - HS Diploma', 'Occupation': 'Exec-managerial', 'Relationship': 'Husband', 'Race': 'White', 'Sex': 'Male', 'Target': '>50K'}
{'Age': '31', 'Education': 'F - Graduate Degree', 'Occupation': 'Prof-specialty', 'Relationship': 'Not-in-family', 'Race': 'White', 'Sex': 'Female', 'Target': '>50K'}
{'Age': '42', 'Education': 'E - Bachelors', 'Occupation': 'Exec-managerial', 'Relationship': 'Husband', 'Race': 'White', 'Sex': 'Male', 'Target': '>50K'}

并給出了獨特的教育水平串列：

unique_education_levels=
['A - No HS Diploma',
 'B - HS Diploma',
 'C - Some College',
 'D - Associates',
 'E - Bachelors',
 'F - Graduate Degree']

我需要創建一個名為 education_level_frequencies 的字典，其中鍵是唯一的教育水平，值是教育水平在資料集中出現的次數。

到目前為止，我使用字典理解來創建值為 0 的字典。

education_level_frequencies = [{level: 0} for level in unique_education_levels]

我正在嘗試使用 for 回圈遍歷資料集并將 1 添加到 education_level_frequencies 鍵無濟于事。

for entry in salary_data:
    if entry['Education'] == education_level_frequencies:
        education_level_frequencies[entry]  = 1

uj5u.com熱心網友回復：

對于 for 回圈，您可能想表達的意思是：

for entry in salary_data:
    if entry['Education'] in education_level_frequencies:
        education_level_frequencies[entry['Education']  = 1

uj5u.com熱心網友回復：

它看起來unique_education_levels是多余的，因為字典中的鍵必須是唯一的。

您可以使用 collections.Counter或collections.defaultdict：

from collections import Counter, defaultdict

salary_data = [
    {'Age': '39', 'Education': 'E - Bachelors', 'Occupation': 'Adm-clerical', 'Relationship': 'Not-in-family', 'Race': 'White', 'Sex': 'Male', 'Target': '<=50K'},
    {'Age': '50', 'Education': 'E - Bachelors', 'Occupation': 'Exec-managerial', 'Relationship': 'Husband', 'Race': 'White', 'Sex': 'Male', 'Target': '<=50K'},
    {'Age': '38', 'Education': 'B - HS Diploma', 'Occupation': 'Handlers-cleaners', 'Relationship': 'Not-in-family', 'Race': 'White', 'Sex': 'Male', 'Target': '<=50K'},
    {'Age': '53', 'Education': 'A - No HS Diploma', 'Occupation': 'Handlers-cleaners', 'Relationship': 'Husband', 'Race': 'Black', 'Sex': 'Male', 'Target': '<=50K'},
    {'Age': '28', 'Education': 'E - Bachelors', 'Occupation': 'Prof-specialty', 'Relationship': 'Wife', 'Race': 'Black', 'Sex': 'Female', 'Target': '<=50K'},
    {'Age': '37', 'Education': 'F - Graduate Degree', 'Occupation': 'Exec-managerial', 'Relationship': 'Wife', 'Race': 'White', 'Sex': 'Female', 'Target': '<=50K'},
    {'Age': '49', 'Education': 'A - No HS Diploma', 'Occupation': 'Other-service', 'Relationship': 'Not-in-family', 'Race': 'Black', 'Sex': 'Female', 'Target': '<=50K'},
    {'Age': '52', 'Education': 'B - HS Diploma', 'Occupation': 'Exec-managerial', 'Relationship': 'Husband', 'Race': 'White', 'Sex': 'Male', 'Target': '>50K'},
    {'Age': '31', 'Education': 'F - Graduate Degree', 'Occupation': 'Prof-specialty', 'Relationship': 'Not-in-family', 'Race': 'White', 'Sex': 'Female', 'Target': '>50K'},
    {'Age': '42', 'Education': 'E - Bachelors', 'Occupation': 'Exec-managerial', 'Relationship': 'Husband', 'Race': 'White', 'Sex': 'Male', 'Target': '>50K'},
]

education_level_frequencies = Counter() # or defaultdict(int)
for entry in salary_data:
    education_level_frequencies[entry['Education']]  = 1
education_level_frequencies = dict(education_level_frequencies)

# Equivalent one liner to above:
# education_level_frequencies = dict(Counter(entry['Education'] for entry in salary_data))

print(education_level_frequencies)

或者，get()如果您只想使用標準 python 字典，也可以使用該方法：

education_level_frequencies = {}
for entry in salary_data:
    education_val = entry['Education']
    education_level_frequencies[education_val] = education_level_frequencies.get(
            education_val, 0)   1

print(education_level_frequencies)

輸出：

{'E - Bachelors': 4, 'B - HS Diploma': 2, 'A - No HS Diploma': 2, 'F - Graduate Degree': 2}

uj5u.com熱心網友回復：

你可以做這樣的事情。

education_level_frequencies = defaultdict(int)
for data in salary_data:
    education = data['Education']
    education_level_frequencies[education]  = int(education in unique_education_levels)

在這里，我們將獲得教育級別的所有頻率。

標籤：Python 字典 for循环 数据序列化

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