我如何将 numpy 数组转换为 Pandas 数据帧
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how do i convert a numpy array to pandas dataframe
提问by I am not George
How do i convert a numpy array to a pandas dataframe?
如何将 numpy 数组转换为 Pandas 数据框？
for example:
例如：
test = np.array([[1,2],[2,3]])
test2 = np.array([[2,4],[2,5]])
to this:
对此：
pd.DataFrame({'test':[[1,2],[2,3]],
'test2':[[2,4],[2,5]]})
test test2
0 [1, 2] [2, 4]
1 [2, 3] [2, 5]
采纳答案by unutbu
Although you could use
虽然你可以使用
In [85]: pd.DataFrame({'test':test.tolist(), 'test2':test2.tolist()})
Out[85]:
test test2
0 [1, 2] [2, 4]
1 [2, 3] [2, 5]
computation on the NumPy arrays would probably be much faster than an equivalent computation done on a Pandas DataFrame whose columns contain Python lists.
在 NumPy 数组上的计算可能比在 Pandas DataFrame 上执行的等效计算快得多，该 Pandas DataFrame 的列包含 Python 列表。
回答by Andy Hayden
If these numpy arrays have the same length, then Panelmay be a preferable:
如果这些 numpy 数组具有相同的长度，那么Panel可能更可取：
In [11]: p = pd.Panel({"test": test, "test2": test2})
In [12]: p
Out[12]:
<class 'pandas.core.panel.Panel'>
Dimensions: 2 (items) x 2 (major_axis) x 2 (minor_axis)
Items axis: test to test2
Major_axis axis: 0 to 1
Minor_axis axis: 0 to 1
In [13]: p["test"] # a DataFrame
Out[13]:
0 1
0 1 2
1 2 3
