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我有以下數據,我需要做的是應用聚合函數,然後是groupby。如何將熊貓系列轉換爲所需的JSON格式?
我的數據如下:data.csv
id,category,sub_category,count
0,x,sub1,10
1,x,sub2,20
2,x,sub2,10
3,y,sub3,30
4,y,sub3,5
5,y,sub4,15
6,z,sub5,20
在這裏,我試圖讓通過子類的計數明智的。之後,我需要以JSON格式存儲結果。以下代碼可以幫助我實現這一目標。 test.py
import pandas as pd
df = pd.read_csv('data.csv')
sub_category_total = df['count'].groupby([df['category'], df['sub_category']]).sum()
print sub_category_total.reset_index().to_json(orient = "records")
上面的代碼給了我下面的格式。
[{"category":"x","sub_category":"sub1","count":10},{"category":"x","sub_category":"sub2","count":30},{"category":"y","sub_category":"sub3","count":35},{"category":"y","sub_category":"sub4","count":15},{"category":"z","sub_category":"sub5","count":20}]
但是,我想要的格式如下:
{
"x":[{
"sub_category":"sub1",
"count":10
},
{
"sub_category":"sub2",
"count":30}],
"y":[{
"sub_category":"sub3",
"count":35
},
{
"sub_category":"sub4",
"count":15}],
"z":[{
"sub_category":"sub5",
"count":20}]
}
通過下面的討論@How to convert pandas DataFrame result to user defined json format,我更換了最後兩行的test.py
用,
g = df.groupby('category')[["sub_category","count"]].apply(lambda x: x.to_dict(orient='records'))
print g.to_json()
它給我以下輸出。
{"x":[{"count":10,"sub_category":"sub1"},{"count":20,"sub_category":"sub2"},{"count":10,"sub_category":"sub2"}],"y":[{"count":30,"sub_category":"sub3"},{"count":5,"sub_category":"sub3"},{"count":15,"sub_category":"sub4"}],"z":[{"count":20,"sub_category":"sub5"}]}
雖然上述結果有點類似我想要的格式,我不能在這裏,因爲它會引發錯誤說執行任何聚合功能。因此,我最終得到了數據文件中的所有行。
有人能幫我實現上面的JSON格式嗎?
我嘗試了兩次投票...它不會讓我。 – piRSquared
謝謝。順便說一句,非常好[問題](http://meta.stackoverflow.com/questions/323414/incentivizing-people-to-avoid-gamesmanship)。 ;) – jezrael
哇!太棒了!非常感謝你@jezrael :) –