ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
目录
ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
问题:
解决:
完整错误:
问题:
import numpy as np
# create a 1d array
ar1 = np.array([1, 2])
# create a 2d array
ar2 = np.array([[0, 0, 0],
[1, 1, 1]])
# hstack the arrays
ar_h = np.hstack((ar1, ar2))
# display the concatenated array
print(ar_h)
解决:
import numpy as np
# create a 1d array
ar1 = np.array([[1, 2],
[1, 2]])
# create a 2d array
ar2 = np.array([[0, 0, 0],
[1, 1, 1]])
# hstack the arrays
ar_h = np.hstack((ar1, ar2))
# display the concatenated array
print(ar_h)
*********************************************************************
[[1 2 0 0 0]
[1 2 1 1 1]]
完整错误:
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-2-f0ed0654d3e0> in <module> 7 8 # hstack the arrays ----> 9 ar_h = np.hstack((ar1, ar2)) 10 # display the concatenated array 11 print(ar_h) <__array_function__ internals> in hstack(*args, **kwargs) D:\anaconda\lib\site-packages\numpy\core\shape_base.py in hstack(tup) 341 # As a special case, dimension 0 of 1-dimensional arrays is "horizontal" 342 if arrs and arrs[0].ndim == 1: --> 343 return _nx.concatenate(arrs, 0) 344 else: 345 return _nx.concatenate(arrs, 1) <__array_function__ internals> in concatenate(*args, **kwargs) ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 1 dimension(s) and the array at index 1 has 2 dimension(s)
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