Example 1: Max & Min of All Values in NumPy ArrayIn this example, I’ll illustrate how to get the minima and maxima of all values in a NumPy array.To calculate the maximum value, we can use the np.max function as shown below…print(np.max(my_array)) # Get max of all array ...
Whenkeepdims = True, the dimensions of the resulting array matches the dimension of an input array. importnumpyasnp array1 = np.array([[10,17,25], [15,11,22]])print('Dimensions of original array: ', array1.ndim) maxValue = np.max(array1, axis =1) print('\n Without keepdims: \...
import numpy as np # 创建一个包含 NaN 值的数组 data = np.array([1, 2, np.nan, 4, 5, np.nan, 3]) # 使用 nanargmax 找到最大值的索引 max_index = np.nanargmax(data) print(f"The index of the maximum value (ignoring NaNs) is: {max_index}") print(f"The maximum value is:...
如下图，使用x == np.max(x) 获得一个掩模矩阵，然后使用where方法即可返回最大值对应的行和列。
arr=np.array([1,3,2,3,1])max_value=np.max(arr)all_max_indices=np.where(arr==max_value)[0]print(all_max_indices)# 输出 [1, 3] Python Copy Output: 示例代码 4:获取二维数组每行所有最大值的索引 importnumpyasnp arr=np.array([[1,3,3],[4,6,6],[7,9,9]])max_values=np.max...
array1 = np.array([10,12,14,11,5]) # return index of largest element (14)maxIndex= np.argmax(array1) print(maxIndex)# Output: 2 Run Code argmax() Syntax The syntax ofargmax()is: numpy.argmax(array, axis =None, out =None, keepdims = <no value>) ...
importnumpyasnp# 创建一个二维随机数组matrix=np.random.rand(3,4)print("Matrix:\n",matrix)# 使用argmax找出最大值的索引,默认展平处理index_of_max_flat=np.argmax(matrix)print("Index of max value in flattened array:",index_of_max_flat)# 指定轴0,找出每列的最大值的索引index_of_max_axis0...
matrix=np.array([[1,2,3,4],[5,6,7,8],[9,10,11,12]])max_values=np.max(matrix,axis=1)print(max_values) 1. 2. 3. 4. 5. 6. 7. 8. 9. 上述代码首先使用np.array函数将列表转换为NumPy的矩阵对象。然后,使用np.max函数找到每行的最大值,并通过axis=1参数指定按行求最大值。最后,...
importnumpyasnp numbers=np.array([10,20,30,25,15])max_index=np.argmax(numbers)# 获取最大值的下标max_value=numbers[max_index]# 获取最大值print("最大值:",max_value)print("最大值的下标:",max_index) 1. 2. 3. 4. 5. 6.
max_value = num print("最高数值:", max_value) --- 输出结果如下: 最高数值: 89 使用numpy库 numpy 是一个强大的数值计算库,它提供了许多数值操作函数,包括获取最高数值。 import numpy as np numbers = np.array([23, 45, 12, 67, 89, 34]) max_value = np.max(...