returns coordinates of the maximum element(s), but has to parse the array twice. >>> a = np.array(((3,4,5),(0,1,2))) >>> np.where(a==a.max()) (array([0]), array([2])) This, comparing to argmax, returns coordinates of all elements equal to the maximum. argmax retu...
importnumpyasnp array_2d=np.array([[1,3,5],[7,5,2]])max_indices=np.argmax(array_2d,axis=1)print(max_indices) Python Copy Output: 示例代码 3: 在列上找到最大值的索引 importnumpyasnp array_2d=np.array([[1,7],[3,5],[5,2]])max_indices=np.argmax(array_2d,axis=0)print(max...
a = np.array([3, 1, 2, 4, 6, 1]) print(np.argmax(a)) 当没有指定axis的时候,默认是0.所以最后输出的是4(也就是表示第四维值最大) 2.二维数组 import numpy as np a = np.array([[1, 5, 4, 2], [9, 6, 2, 8], [3, 7, 9, 1]]) print(np.argmax(a, axis=0)) 最后...
print(np.max(my_array))# Get max of all array values# 6 …and to compute the minimum value, we can apply the min function as illustrated in the following Python code: print(np.min(my_array))# Get min of all array values# 1 ...
The max() method returns the largest element of an array along an axis. The max() method returns the largest element of an array along an axis. Example import numpy as np array1 = np.array([10, 12, 14, 11, 5]) # return the largest element maxValue= np.ma
array([1, 1, 1]) 代表了每一列的最大值的位置 >>>np.argmax(a, axis=1) array([2, 2]) 代表了每一行的最大值的位置 与MAX函数之间的区别: y = f(t) 是一般常見的函数式,如果給定一个t值,f(t)函数式会赋一个值給y。 y = max f(t) 代表:y 是f(t)函式所有的值中最大的output。
_sort_ascend(pn_locs, *pn_npks ); } void maxim_sortascendint32_t *pn_x,int32_t n_size) /** * \brief Sort array * \par Details * Sort array in ascending order(insertion sort algorithm) * * \retvalNone */ { int32_t i, j, n_temp; for (i = ; i...
indices longo ascending order maxim_sort_ascend( pn_locs, *pn_npks ); } void maxim_sort_ascendint32_t *pn_x,int32_t n_size) /** * \brief Sort array \par Details * Sort array in ascending(insertion sort algorithm) * * \retvalNone */ { int32_t i, j, n...
dtype =[('a', float), ('b', int)])print("Input array:", in_arr)# convert it to a record array,# using arr.view(np.recarray)rec_arr = in_arr.view(geek.recarray) print("Record array of float:", rec_arr.a) print("Record array of int:", rec_arr.b)# applying recarray....
importnumpyasnp# 创建一个一维数组arr=np.array([1,3,2,7,4])index_of_max=np.argmax(arr)print(index_of_max)# 输出最大元素的索引 Python Copy Output: 2. 多维数组中的argmax 在多维数组中使用argmax时,可以通过axis参数来指定在哪个维度上寻找最大值。