array_of_arrays = np.array([arr1, arr2, arr3]) array_of_arrays#> array([array([0, 1, 2]), array([3, 4, 5, 6]), array([7, 8, 9])], dtype=object) 期望输出: #> array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) 51. 如何为 NumPy 数组生成
# Create a 2-dimensional array arr = np.array([[1, 2, 3], [4, 5, 6]]) # Transpose the array transposed_arr = np.transpose(arr) [[1 4] [2 5] [3 6]] numpy.concatate:沿现有轴连接数组。 # Create two 1-dimensionalarrays arr1 = np.array([1, 2, 3]) arr2 = np.array(...
Use a tuple to create a NumPy array: import numpy as np arr = np.array((1, 2, 3, 4, 5))print(arr) Try it Yourself » Dimensions in ArraysA dimension in arrays is one level of array depth (nested arrays).nested array: are arrays that have arrays as their elements.0...
a1=np.array([1,2,3,4]): Create a one-dimensional array a1 with integer values. a2=np.array(['Red','Green','White','Orange']): Create a one-dimensional array a2 with string values. a3=np.array([12.20,15,20,40]): Create a one-dimensional array a3 with floating-point values. r...
In the above example, we have created arrays using thenp.arange()function. np.arange(5)- create an array with 5 elements, where the values range from0to4 np.arange(1, 9, 2)- create an array with 5 elements, where the values range from1to8with a step of2. ...
By default, NumPy creates an array of floating-point zeros (dtype=float64). That’s why you see decimal points in the output. Check outCopy a NumPy Array to the Clipboard through Python Create Multi-dimensional Arrays with Zeros When working with data science projects, I often need arrays ...
importnumpyasnp a = np.zeros(5)# create an array with all 0sprint(a)# [ 0. 0. 0. 0. 0.]print(a.shape) Output [0. 0. 0. 0. 0.](5,) Now let's create some two-dimensional arrays with thezeros()method. importnumpyasnp a = np.zeros((2,3))# array of rank 2 with al...
期望输出:(array([ 5, 6, 7, 8, 9, 10]),) 参考View Code 15. 如何创建一个 Python 函数以对 NumPy 数组执行元素级的操作? 问题:转换函数 maxx,使其从只能对比标量而变为对比两个数组。 输入: 1defmaxx(x, y):2"""Get the maximum of two items"""3ifx >= y:4returnx5else:6returny78maxx...
#> array([1, 3, 5, 7, 9]) 5. 如何将 NumPy 数组中满足给定条件的项替换成另一个数值? 难度:L1 问题:将 arr 中的所有奇数替换成 -1。 输入: arr = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) 期望输出: #> array([ 0, -1, 2, -1, 4, -1, 6, -1, 8, -1]) ...
arr = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])` 期望输出: #> array([1, 3, 5, 7, 9]) 5. 如何将 NumPy 数组中满足给定条件的项替换成另一个数值? 难度:L1 问题:将 arr 中的所有奇数替换成 -1。 输入: arr = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) ...