NumPy: Create a two-dimensional array of specified format
NumPy: Basic Exercise-46 with Solution
Write a NumPy program to create a two-dimensional array of specified format.
Sample format:
[[ 1 2 3 4 5 6 7 8 9 10] [ 11 12 13 14 15 16 17 18 19 20] [ 21 22 23 24 25 26 27 28 29 30] [ 31 32 33 34 35 36 37 38 39 40] [ 41 42 43 44 45 46 47 48 49 50] [ 51 52 53 54 55 56 57 58 59 60] [ 61 62 63 64 65 66 67 68 69 70] [ 71 72 73 74 75 76 77 78 79 80] [ 81 82 83 84 85 86 87 88 89 90] [ 91 92 93 94 95 96 97 98 99 100] [101 102 103 104 105 106 107 108 109 110] [111 112 113 114 115 116 117 118 119 120] [121 122 123 124 125 126 127 128 129 130] [131 132 133 134 135 136 137 138 139 140] [141 142 143 144 145 146 147 148 149 150]]
Sample Solution :
Python Code :
import numpy as np
print("Create an array of shape (15,10):")
print("Command-1")
print(np.arange(1, 151).reshape(15, 10))
print("\nCommand-2")
print(np.arange(1, 151).reshape(-1, 10))
print("\nCommand-3")
print(np.arange(1, 151).reshape(15, -1))
Sample Output:
Create an array of shape (15,10): Command-1 [[ 1 2 3 4 5 6 7 8 9 10] [ 11 12 13 14 15 16 17 18 19 20] [ 21 22 23 24 25 26 27 28 29 30] [ 31 32 33 34 35 36 37 38 39 40] [ 41 42 43 44 45 46 47 48 49 50] [ 51 52 53 54 55 56 57 58 59 60] [ 61 62 63 64 65 66 67 68 69 70] [ 71 72 73 74 75 76 77 78 79 80] [ 81 82 83 84 85 86 87 88 89 90] [ 91 92 93 94 95 96 97 98 99 100] [101 102 103 104 105 106 107 108 109 110] [111 112 113 114 115 116 117 118 119 120] [121 122 123 124 125 126 127 128 129 130] [131 132 133 134 135 136 137 138 139 140] [141 142 143 144 145 146 147 148 149 150]] Command-2 [[ 1 2 3 4 5 6 7 8 9 10] [ 11 12 13 14 15 16 17 18 19 20] [ 21 22 23 24 25 26 27 28 29 30] [ 31 32 33 34 35 36 37 38 39 40] [ 41 42 43 44 45 46 47 48 49 50] [ 51 52 53 54 55 56 57 58 59 60] [ 61 62 63 64 65 66 67 68 69 70] [ 71 72 73 74 75 76 77 78 79 80] [ 81 82 83 84 85 86 87 88 89 90] [ 91 92 93 94 95 96 97 98 99 100] [101 102 103 104 105 106 107 108 109 110] [111 112 113 114 115 116 117 118 119 120] [121 122 123 124 125 126 127 128 129 130] [131 132 133 134 135 136 137 138 139 140] [141 142 143 144 145 146 147 148 149 150]] Command-3 [[ 1 2 3 4 5 6 7 8 9 10] [ 11 12 13 14 15 16 17 18 19 20] [ 21 22 23 24 25 26 27 28 29 30] [ 31 32 33 34 35 36 37 38 39 40] [ 41 42 43 44 45 46 47 48 49 50] [ 51 52 53 54 55 56 57 58 59 60] [ 61 62 63 64 65 66 67 68 69 70] [ 71 72 73 74 75 76 77 78 79 80] [ 81 82 83 84 85 86 87 88 89 90] [ 91 92 93 94 95 96 97 98 99 100] [101 102 103 104 105 106 107 108 109 110] [111 112 113 114 115 116 117 118 119 120] [121 122 123 124 125 126 127 128 129 130] [131 132 133 134 135 136 137 138 139 140] [141 142 143 144 145 146 147 148 149 150]]
Python-Numpy Code Editor:
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Previous: Write a NumPy program to create one-dimensional array of single, two and three digit numbers.
Next: Write a NumPy program to create a one dimensional array of forty pseudo-randomly generated values. Select random numbers from a uniform distribution between 0 and 1.
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Python: Tips of the Day
Find current directory and file's directory:
To get the full path to the directory a Python file is contained in, write this in that file:
import os dir_path = os.path.dirname(os.path.realpath(__file__))
(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)
To get the current working directory use
import os cwd = os.getcwd()
Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
- os.getcwd() (returns "a string representing the current working directory")
- os.chdir(path) ("change the current working directory to path")
Ref: https://bit.ly/3fy0R6m
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