Python 一维 numpy 连接：类型错误：只有整数标量数组可以转换为标量索引
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1D numpy concatenate: TypeError: only integer scalar arrays can be converted to a scalar index
提问by Santhosh
I want to store numpy array into to another numpy array
我想将 numpy 数组存储到另一个 numpy 数组中
I am using np.concatenate
我在用 np.concatenate
This is my code
这是我的代码
x=np.concatenate(x,s_x)
These are the type and the shape of x and s_x
这些是类型和形状 x and s_x
Type of s_x: <class 'numpy.ndarray'>, Shape of s_x: (173,)
Type of x: <class 'numpy.ndarray'> (0,), Shape of x: (0,)
This is the error being displayed
这是正在显示的错误
TypeError: only integer scalar arrays can be converted to a scalar index
回答by Nils Werner
You need to pass the arrays as an iterable (a tuple or list), thus the correct syntax is
您需要将数组作为可迭代对象（元组或列表）传递，因此正确的语法是
x=np.concatenate((x, s_x))
