numpy
axis
axis = 0 # column
axis = 1 # row
example
arr1 = array([[0.38561965, 0.21899143],
[0.18552341, 0.90770318],
[0.45782487, 0.25678429],
[0.82778747, 0.04337668]])
arr2 = array([[0.6015822 , 0.57523424],
[0.18762293, 0.5558438 ],
[0.56871587, 0.31634338],
[0.50953411, 0.85320864]])
np.concatenate((arr1, arr2), axis=0)
[result]
array([[0.38561965, 0.21899143],
[0.18552341, 0.90770318],
[0.45782487, 0.25678429],
[0.82778747, 0.04337668],
[0.6015822 , 0.57523424],
[0.18762293, 0.5558438 ],
[0.56871587, 0.31634338],
[0.50953411, 0.85320864]])
np.concatenate((arr1, arr2), axis=1)
[result]
array([[0.38561965, 0.21899143, 0.6015822 , 0.57523424],
[0.18552341, 0.90770318, 0.18762293, 0.5558438 ],
[0.45782487, 0.25678429, 0.56871587, 0.31634338],
[0.82778747, 0.04337668, 0.50953411, 0.85320864]])
np.argmax(arr1, axis=0)
np.argmin(arr2, axis=1)
2022.10.14. first commit