[英]Combine two arrays with different dimensions in numpy
I'm hoping to combine two arrays...我希望结合两个数组...
a = np.array(["A", "B", "C"])
b = np.array(["1", "2", "3", "4", "5"])
into an array (matrix) similar to this:到一个类似于这个的数组(矩阵):
[["A", "B", "C", "1"]
["A", "B", "C", "2"]
["A", "B", "C", "3"]
["A", "B", "C", "4"]
["A", "B", "C", "5"]]
I've tried a for-loop, but it doesn't seem to work.我试过 for 循环,但它似乎不起作用。 I'm new to Python, any help will be appreciated.
我是 Python 新手,任何帮助将不胜感激。 Thanks.
谢谢。
>>> np.hstack((np.tile(a, (len(b), 1)), b[:, None]))
array([['A', 'B', 'C', '1'],
['A', 'B', 'C', '2'],
['A', 'B', 'C', '3'],
['A', 'B', 'C', '4'],
['A', 'B', 'C', '5']], dtype='<U1')
This will do the trick:这将解决问题:
import numpy as np
a = np.array(["A", "B", "C"])
b = np.array(["1", "2", "3", "4", "5"])
c=np.hstack([np.broadcast_to(a, shape=(len(b), len(a))), b.reshape(-1,1)])
Output:输出:
[['A' 'B' 'C' '1']
['A' 'B' 'C' '2']
['A' 'B' 'C' '3']
['A' 'B' 'C' '4']
['A' 'B' 'C' '5']]
Perhaps use a Python list comprehension with np.append
:也许使用带有
np.append
的 Python 列表理解:
>>> [np.append(a,x) for x in b]
[array(['A', 'B', 'C', '1'],
dtype='<U1'), array(['A', 'B', 'C', '2'],
dtype='<U1'), array(['A', 'B', 'C', '3'],
dtype='<U1'), array(['A', 'B', 'C', '4'],
dtype='<U1'), array(['A', 'B', 'C', '5'],
dtype='<U1')]
Depending on what you need, you could wrap that result in np.array
:根据您的需要,您可以将结果包装在
np.array
:
>>> np.array([np.append(a,x) for x in b])
array([['A', 'B', 'C', '1'],
['A', 'B', 'C', '2'],
['A', 'B', 'C', '3'],
['A', 'B', 'C', '4'],
['A', 'B', 'C', '5']],
dtype='<U1')
One way of doing it would be:一种方法是:
import numpy as np
a = np.array(["A", "B", "C"])
b = np.array(["1", "2", "3", "4", "5"])
output=[]
for i in list(b):
a_list=list(a)
a_list.append(i)
output.append(a_list)
output=np.asarray(output)
print(output)
Result of this is as desired:其结果如预期:
[['A' 'B' 'C' '1']
['A' 'B' 'C' '2']
['A' 'B' 'C' '3']
['A' 'B' 'C' '4']
['A' 'B' 'C' '5']]
>>>
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