PANDAS 按唯一值行将数据帧拆分为多个
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PANDAS split dataframe to multiple by unique values rows
提问by Darshan Jadav
I have a DataFrame in Pandas
我在 Pandas 中有一个 DataFrame
PRICE Name PER CATEGORY STORENAME
0 9.99 MF gram Indica Store1
1 9.99 HY gram Herb Store2
2 9.99 FF gram Herb Store2
What I want to do is split these into multiple data frames to have unique names, then in those split to category.
我想要做的是将它们拆分为多个数据框以具有唯一名称，然后将它们拆分为类别。
Current code:
当前代码：
names = df['STORENAME'].unique().tolist() #find unique values
store1 = df[df['STORENAME']==names[0]]
store2 = df[df['STORENAME']==names[1]]
This code works perfectly but I am wondering if there is a Pythonic way since the number of stores may change.
这段代码运行良好，但我想知道是否有 Pythonic 方式，因为商店的数量可能会改变。
This is needed to plot the difference in prices in categories in stores.
这是绘制商店中类别价格差异所必需的。
Thanks!
谢谢！
回答by jezrael
I think you can create dictionary of DataFrames:
我认为你可以创建dictionary of DataFrames：
dfs = dict(tuple(df.groupby('STORENAME')))
And then select by STORENAME:
然后选择STORENAME：
store1 = dfs['Store1']
store2 = dfs['Store2']
print (store1)
PRICE Name PER CATEGORY STORENAME
0 9.99 MF gram Indica Store1
print (store2)
PRICE Name PER CATEGORY STORENAME
1 9.99 HY gram Herb Store2
2 9.99 FF gram Herb Store2
