[英]New to Python: how to extract one element from an object?
I'm new to python, so I don't really know exactly how to ask my question, so my terminology may be wrong. 我是python的新手,所以我真的不太清楚如何问我的问题,因此我的术语可能是错误的。 Anyway, I'm given some preliminary code that creates a matrix called subeta.
无论如何,我得到了一些初步的代码,这些代码创建了一个称为subeta的矩阵。 I need to work with subeta.
我需要使用subeta。 However, when I type 'subeta', I see that the object actually has much more information (see below) than the matrix I want to work with.
但是,当我键入'subeta'时,我看到该对象实际上比我要使用的矩阵具有更多的信息(见下文)。 How can I extract only the array (after the 'data':, not including the dtype=float32 part) from all the information that is stored in that object subeta?
我如何从存储在该对象子集中的所有信息中仅提取数组(在“数据”之后:,不包括dtype = float32部分)?
In [17]: subeta
Out[17]:
{'data': array([[ 1. , 0.88093734, 0.87001401, ..., 0.65282464,
0.59209341, 0.58587438],
[ 0.88093734, 1. , 0.97301871, ..., 0.63097703,
0.60524851, 0.60063201],
[ 0.87001401, 0.97301871, 1. , ..., 0.6584534 ,
0.61063689, 0.5927977 ],
...,
[ 0.65282464, 0.63097703, 0.6584534 , ..., 1. ,
0.7761867 , 0.72384161],
[ 0.59209341, 0.60524851, 0.61063689, ..., 0.7761867 ,
1. , 0.99335372],
[ 0.58587438, 0.60063201, 0.5927977 , ..., 0.72384161,
0.99335372, 1. ]], dtype=float32),
'desc': 'Correlation matrix [channels,channels]',
'funcfile': '/Users/...[omitted]/newJJ/S3/func/func_res.nii.gz',
'mask': <nibabel.nifti1.Nifti1Image at 0x5344350>,
'maskfile': '/Users/...[omitted]/S3/segment/gm2func.nii.gz /\\ sphere.nii.gz',
'maskthresh': 0.5,
'mode': 'fMRI',
'type': 'VTT/eta2'}
subeta
is a dictionary. subeta
是一本字典。 To get a handle on the array, you can just do: 要获取数组的句柄,您可以执行以下操作:
array = subeta['data']
Now, array
is a numpy ndarray
which holds float32
objects (It's an array of 4-byte floats). 现在,
array
是一个numpy ndarray
,它保存float32
对象(这是一个4字节浮点数的数组)。 ndarray
objects carry around a lot of meta-data that can be very useful (including the dtype=float32
part which could be inspected from the .dtype
attribute and other attributes like shape
). ndarray
对象包含许多非常有用的元数据(包括dtype=float32
部分,可以从.dtype
属性和诸如shape
其他属性中进行检查)。
Use: 采用:
subeta['data']
Or: 要么:
my_data = subeta['data']
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