Run from the command line as follows python vectorsum.py n where n is an integer that specifies the size of the vectors. The first vector to be added contains the squares of 0 up to n. The second vector contains the cubes of 0 up to n. The program prints the last 2 elements of t...
z = np.zeros((5,5))z += np.arange(5)print(z) Create random vector of size 10 and replace the maximum value by 0 (★★☆) 创建一个长度为10的随机矩阵,并将最大值替换为0 z = np.random.random(10)z[z.argmax()] =0print(z) Print the minimum and maximum representable value for ...
Chapter 1 of NumPy Beginners Guide. This program demonstrates vector addition the Python way. Run from the command line as follows python vectorsum.py n where n is an integer that specifies the size of the vectors. The first vector to be added contains the squares of 0 up to n. The sec...
Chapter 1 of NumPy Beginners Guide. This program demonstrates vector addition the Python way. Run from the command line as follows python vectorsum.py n where n is an integer that specifies the size of the vectors. The first vector to be added contains the squares of 0 up to n. The sec...
Null Vector (10) & Update Sixth Value Write a NumPy program to create a null vector of size 10 and update the sixth value to 11. Sample Solution: Python Code: # Importing the NumPy library with an alias 'np'importnumpyasnp# Creating a NumPy array 'x' filled with zeros of length 10x...
[:,newaxis] # This allows to have a 2D columns vector array([[ 4.], [ 2.]]) >>> column_stack((a[:,newaxis],b[:,newaxis])) array([[ 4., 2.], [ 2., 8.]]) >>> vstack((a[:,newaxis],b[:,newaxis])) # The behavior of vstack is different array([[ 4.], [ 2.]...
45. Create random vector of size 10 and replace the maximum value by 0 (★★☆) 1arr = np.random.randint(1,10,10)2print(arr)3arr[arr.argmax()] =04print(arr) 运行结果: [3 4 7 9 4 2 4 4 2 8] [3 4 7 0 4 2 4 4 2 8] ...
6. Create a null vector of size 10 but the fifth value which is 1 >>Z = np.zeros(10) Z[4] = 1 print(Z) 7. Create a vector with values ranging from 10 to 49 >>np.arange(10,50) 8. Reverse a vector (first element becomes last) ...
6. Create a null vector of size 10 but the fifth value which is 1 (★☆☆) 创建一个长度为10的0数组,第5个值为1 Z = np.zeros(10) Z[4] = 1 print(Z) 7. Create a vector with values ranging from 10 to 49 (★☆☆) 创建一个值从10到49的数组 ...
>>> col_vector = a[:, np.newaxis]>>> col_vector.shape(6, 1) 您还可以通过在指定位置插入新轴来扩展数组np.expand_dims。 例如,如果您从这个数组开始: >>> a = np.array([1, 2, 3, 4, 5, 6])>>> a.shape(6,) 您可以使用np.expand_dims以下命令在索引位置 1 添加轴: >>> b = np...