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使用 defaultdict 對 pandas 中的值進(jìn)行分類

Python

SMILET 2022-11-18 20:55:42

我正在嘗試使用以下詞典（' ContinentDict '）按大陸對國家/地區(qū)進(jìn)行分類。因此，我想按值對鍵進(jìn)行分類。ContinentDict = {'China':'Asia', 'United States':'North America', 'Japan':'Asia', 'United Kingdom':'Europe', 'Russian Federation':'Europe', 'Canada':'North America', 'Germany':'Europe', 'India':'Asia', 'France':'Europe', 'South Korea':'Asia', 'Italy':'Europe', 'Spain':'Europe', 'Iran':'Asia', 'Australia':'Australia', 'Brazil':'South America'}當(dāng)我嘗試選項 1 時：v = {}for key, value in sorted(d.items()): v.setdefault(value, []).append(key)我收到錯誤：Traceback (most recent call last): File "<input>", line 2, in <module>TypeError:'dict' object is not callable當(dāng)我嘗試選項 2 時：from collections import defaultdictdictionary = defaultdict(list)for key, value in ContinentDict:dictionary[value].append(key)我收到錯誤：Traceback (most recent call last): File "<input>", line 1, in <module>TypeError: first argument must be callable or None有人可以幫我嗎？

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1 回答

動漫人物

TA貢獻(xiàn)1815條經(jīng)驗獲得超10個贊

對于選項 2，我想你錯過了.items()。這對我有用：

ContinentDict = {'China':'Asia',

'United States':'North America',

'Japan':'Asia',

'United Kingdom':'Europe',

'Russian Federation':'Europe',

'Canada':'North America',

'Germany':'Europe',

'India':'Asia',

'France':'Europe',

'South Korea':'Asia',

'Italy':'Europe',

'Spain':'Europe',

'Iran':'Asia',

'Australia':'Australia',

'Brazil':'South America'}

dictionary = defaultdict(list)

for key, value in ContinentDict.items():

dictionary[value].append(key)

print(dictionary)

輸出：

defaultdict(<class 'list'>, {'Asia': ['China', 'Japan', 'India', 'South Korea', 'Iran'], 'North America': ['United States', 'Canada'], 'Europe': ['United Kingdom', 'Russian Federation', 'Germany', 'France', 'Italy', 'Spain'], 'Australia': ['Australia'], 'South America': ['Brazil']})

反對回復(fù) 2022-11-18