如何在 Pandas 数据帧的列中存储 numpy 数组？
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How to store a numpy arrays in a column of a Pandas dataframe?
提问by MLister
Is it possible to store arbitrary numpyarrays as the values of a singlecolumn in a dataframe of Pandas?
是否可以将任意numpy数组存储为数据框中的单个列的值Pandas？
The arrays are all 2-dimensional, and I intend to use them to calculate values for other columns in the same dataframe.
数组都是二维的，我打算用它们来计算同一数据帧中其他列的值。
To provide some context of what I'm trying to do here:
提供一些我在这里尝试做的事情的背景：
Each array is an adjacency matrix of some network, and for each network I want to calculate its various characteristics (e.g. density, centralities, clustering coefficient, etc) which are in fact other columns in the same dataframe.
每个数组都是某个网络的邻接矩阵，对于每个网络，我想计算它的各种特征（例如密度、中心性、聚类系数等），这些特征实际上是同一数据帧中的其他列。
采纳答案by Boud
Store them as elements as you would do for any other data:
将它们存储为元素，就像您对任何其他数据所做的一样：
import numpy as np
import pandas as pd
a = np.arange(10).reshape(2,5)
b = np.arange(10, 20).reshape(2,5)
pd.DataFrame({'foo':[42,51], 'arr':[a,b]})
Out[10]:
arr foo
0 [[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]] 42
1 [[10, 11, 12, 13, 14], [15, 16, 17, 18, 19]] 51
Note that what you try to do sounds more to use a Panel.
请注意，您尝试做的事情听起来更像是使用Panel.
回答by cc7768
What do you mean store arbitrary numpy arrays as the values of a column in a dataframe of Pandas?
您是什么意思将任意 numpy 数组存储为 Pandas 数据框中的列值？
Something like this?
像这样的东西？
import numpy as np
import pandas as pd
x = np.random.randn(50, 25)
random_frame = pd.DataFrame(x)
This will store the array x in a DataFrame where the column names are 0, 1, 2, 3... Could you clarify? I think this is more a comment, but I don't know if I can comment yet.
这会将数组 x 存储在列名称为 0、1、2、3 的 DataFrame 中......你能澄清一下吗？我认为这更像是评论，但我不知道我是否可以评论。
