importnumpyasnp# 创建一个一维数组array1=np.array([1,2,3,4,5])print("numpyarray.com"+str(array1.shape)) Python Copy Output: 示例代码 2:多维数组的创建 importnumpyasnp# 创建一个二维数组array2=np.array([[1,2,3],[4,5,6]])print("numpya
numpy创建的数组都有一个shape属性,它是一个元组,返回各个维度的维数。有时候我们可能需要知道某一维的特定维数。 二维情况 >>>importnumpy as np>>> y = np.array([[1,2,3],[4,5,6]])>>>print(y) [[1 2 3] [4 5 6]]>>>print(y.shape) # 展示行数,列数 (2, 3)>>>print(y.shape[0...
shape[0]表示最外围的数组的维数,shape[1]表示次外围的数组的维数,数字不断增大,维数由外到内。 具体如下: 一维: importnumpyasnpx1=np.array([1,2])y1=np.array([[1],[2]])print("x1:\n",x1)print("y1:\n",y1)print("x1.shape:\n",x1.shape)print("y1.shape:\n",y1.shape)>>>x1:...
importnumpyasnp# 创建整数类型的空二维数组int_array=np.empty((2,2),dtype=int)print("Integer empty array from numpyarray.com:")print(int_array)# 创建复数类型的空二维数组complex_array=np.empty((2,2),dtype=complex)print("Complex empty array from numpyarray.com:")print(complex_array) Python ...
arr=np.array([[1,2,3],[4,5,6]]) print(arr.shape) 运行结果: 上面的示例返回(2,3),这意味着该数组具有2个维,每个维具有3个元素。 代码练习: import numpy as np arr=np.array([[1,2,3],[4,5,6]]) print(arr.shape) arr=np.array([1,2,3,4,5,6]) ...
Create an array (a) of shape 3, 4, 8 (K=3, J=4, I=8). tidx is an array of the same length as a.shape[1], i.e. contains J = 4 elements where each index denotes which element of K should be chosen. Write a NumPy program to select from the first axis (K) by the ...
shape() Return Value The shape() method returns the shape of an array as a tuple. Example 1: Shape of Arrays import numpy as np # create 1D and 2D arrays array1 = np.array([0, 1, 2, 3]) array2 = np.array([[8, 9]]) # shape of array1 shape1 = np.shape(array1) ...
print_array(a_tuple_arr)# output:# create array by tuple:# [4 5 6]# array dimensions is 1# array shape is (3,)# array size is 3# Data type of array is int32# ===# 不要用set创建数组,得不到想要的数组print('Don\'t create array by set,you will not get what you want:')...
shape、reshape() a1 = np.array([1, 2, 3, 4, 5, 6]) print(a1.shape) a1.shape = (2, 3) print(a1) a2 = np.array([1, 2, 3, 4, 5, 6]).reshape((2, 3)) print(a2) # #--- (6,) [[1 2 3] [4 5 6]] [[1 2 3] [4 5 6]] 1. 2. 3. 4. 5. 6. 7....
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) 可以获取前五个元素: Python a[:5] 输出为: Output array([0, 1, 2, 3, 4]) 可以返回索引 5 之后的元素: Python a[5:] 输出为: Output array([5, 6, 7, 8, 9]) 或中间子数组: ...