将numpy数组的元素的不同组合组合到数据框中 [英] Combining distinct combinatios of elements of an numpy array into a dataframe

问题描述

也许我可以用标题准确地综合我的问题，但是我想通过解释它，事情会变得更加清楚.

Maybe I could synthesize precisely my problem with my title, however I guess that by explaning it, things will get more clear.

因此，我要执行以下操作:我想创建一个数据框，每一行将4个不同的numpy数组的每个不同元素组合在一起.

So, what I want to do is the following: I want to create a dataframe which each row combinates each distinct element of 4 different numpy arrays.

我正在尝试尽可能避免for循环，并且我不确定是否还有其他方法可以利用我尚不了解的pandas或python方法来实现我的目标.我要解决的问题自然会更加复杂，并且会涉及更多的数组以及更复杂的数据.

I am trying to avoid for loops as much as possible and I am not sure if there are other means to achieve my goal utilizing pandas or python methods which I am not still aware of. The problem that I am trying to solve is naturally more complex and would involve several more arrays as well as more complex data.

非常感谢您在此方面的帮助！

I would really appreciate your help on this one!

min_x = 1

max_x = 5


x1_set = np.linspace(min_x, max_x, 5)

x2_set = np.linspace(min_x, max_x, 5)

x3_set = np.linspace(min_x, max_x, 5)

x4_set = np.linspace(min_x, max_x, 5)

X_set_df = pd.DataFrame([x1_set,x2_set,x3_set,x4_set]).T

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我希望这样的数据框

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I would expect a dataframe that would be somehow like this

First row : 1,1,1,1

Second row: 1,1,1,2

Third row: 1,1,1,3

...

n-row: 5,5,5,5

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