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NUMPY ARRAY

1. Write a NumPy program to print the NumPy version in your system.

2.Write a NumPy program to convert a list of numeric value into a one-dimensional NumPy array. Expected Output: Original List: [12.23, 13.32, 100, 36.32] One-dimensional NumPy array: [ 12.23 13.32 100. 36.32]

3.Write a NumPy program to create a 3×3 matrix with values ranging from 2 to 10. Expected Output: [[ 2 3 4] [ 5 6 7] [ 8 9 10]]

4. Write a NumPy program to create a null vector of size 10 and update sixth value to 11. [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.] Update sixth value to 11 [ 0. 0. 0. 0. 0. 0. 11. 0. 0. 0.]

5. Write a NumPy program to create an array with values ranging from 12 to 38. Expected Output: [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]

6. Write a NumPy program to reverse an array (first element becomes last). Original array: [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] Reverse array: [37 36 35 34 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15 14 13 12]

7.Write a NumPy program to convert an array to a float type. Sample output: Original array [1, 2, 3, 4] Array converted to a float type: [ 1. 2. 3. 4.]

8. Write a NumPy program to create a 2d array with 1 on the border and 0 inside. Expected Output: Original array: [[ 1. 1. 1. 1. 1.] â€¦â€¦â€¦â€¦â€¦â€¦. [ 1. 1. 1. 1. 1.]] 1 on the border and 0 inside in the array [[ 1. 1. 1. 1. 1.] â€¦â€¦â€¦â€¦â€¦â€¦. [ 1. 1. 1. 1. 1.]]

9. Write a NumPy program to add a border (filled with 0’s) around an existing array. Expected Output: Original array: [[ 1. 1. 1.] [ 1. 1. 1.] [ 1. 1. 1.]] 1 on the border and 0 inside in the array [[ 0. 0. 0. 0. 0.] â€¦â€¦â€¦.. [ 0. 0. 0. 0. 0.]]

10. Write a NumPy program to create a 8×8 matrix and fill it with a checkerboard pattern. Checkerboard pattern: [[0 1 0 1 0 1 0 1] â€¦â€¦â€¦.
[0 1 0 1 0 1 0 1] [1 0 1 0 1 0 1 0]]

11. Write a NumPy program to convert a list and tuple into arrays. List to array: [1 2 3 4 5 6 7 8] Tuple to array: [[8 4 6] [1 2 3]]

12. Write a NumPy program to append values to the end of an array. Expected Output: Original array: [10, 20, 30] After append values to the end of the array: [10 20 30 40 50 60 70 80 90]

13. Write a NumPy program to create an empty and a full array. Expected Output: [ 6.93270651e-310 1.59262180e-316 6.93270559e-310 6.93270665e-310] [ 6.93270667e-310 6.93270671e-310 6.93270668e-310 6.93270483e-310] [ 6.93270668e-310 6.93270671e-310 6.93270370e-310 6.93270488e-310]] [[6 6 6] [6 6 6] [6 6 6]]

14. Write a NumPy program to convert the values of Centigrade degrees into Fahrenheit degrees. Centigrade values are stored into a NumPy array. Sample Array [0, 12, 45.21 ,34, 99.91] Expected Output: Values in Fahrenheit degrees: [ 0. 12. 45.21 34. 99.91] Values in Centigrade degrees:[-17.77777778 -11.11111111 7.33888889 1.11111111 37.72777778]

15. Write a NumPy program to find the real and imaginary parts of an array of complex numbers. Expected Output: Original array [ 1.00000000+0.j 0.70710678+0.70710678j] Real part of the array: [ 1. 0.70710678] Imaginary part of the array: [ 0. 0.70710678]

16. Write a NumPy program to find the number of elements of an array, length of one array element in bytes and total bytes consumed by the elements. Expected Output: Size of the array: 3 Length of one array element in bytes: 8 Total bytes consumed by the elements of the array: 24

17. Write a NumPy program to test whether each element of a 1-D array is also present in a second array. Expected Output: Array1: [ 0 10 20 40 60] Array2: [0, 40] Compare each element of array1 and array2 [ True False False True False]

18. Write a NumPy program to find common values between two arrays. Expected Output: Array1: [ 0 10 20 40 60] Array2: [10, 30, 40] Common values between two arrays: [10 40]

19. Write a NumPy program to get the unique elements of an array. Expected Output:
Original array: [10 10 20 20 30 30] Unique elements of the above array: [10 20 30] Original array: [[1 1] [2 3]] Unique elements of the above array: [1 2 3]

20. Write a NumPy program to find the set difference of two arrays. The set difference will return the sorted, unique values in array1 that are not in array2. Expected Output: Array1: [ 0 10 20 40 60 80] Array2: [10, 30, 40, 50, 70, 90] Set difference between two arrays: [ 0 20 60 80]

21. Write a NumPy program to find the set exclusive-or of two arrays. Set exclusive-or will return the sorted, unique values that are in only one (not both) of the input arrays. Array1: [ 0 10 20 40 60 80] Array2: [10, 30, 40, 50, 70] Unique values that are in only one (not both) of the input arrays: [ 0 20 30 50 60 70 80]

22. Write a NumPy program to find the union of two arrays. Union will return the unique, sorted array of values that are in either of the two input arrays. Array1: [ 0 10 20 40 60 80] Array2: [10, 30, 40, 50, 70] Unique sorted array of values that are in either of the two input arrays: [ 0 10 20 30 40 50 60 70 80]

23. Write a NumPy program to test whether all elements in an array evaluate to True. Note: 0 evaluates to False in NumPy.

24. Write a NumPy program to test whether any array element along a given axis evaluates to True. Note: 0 evaluates to False in NumPy.

25. Write a NumPy program to construct an array by repeating. Sample array: [1, 2, 3, 4] Expected Output: Original array [1, 2, 3, 4] Repeating 2 times [1 2 3 4 1 2 3 4] Repeating 3 times [1 2 3 4 1 2 3 4 1 2 3 4]

26. Write a NumPy program to repeat elements of an array. Expected Output: [3 3 3 3] [1 1 2 2 3 3 4 4]

27. Write a NumPy program to find the indices of the maximum and minimum values along the given axis of an array. Original array: [1 2 3 4 5 6] Maximum Values: 5 Minimum Values: 0

28. Write a NumPy program compare two given arrays. Array a: [1 2] Array b: [4 5] a > b [False False] a >= b [False False]
a < b [ True True] a <= b [ True True]

29. Write a NumPy program to sort an along the first, last axis of an array. Sample array: [[2,5],[4,4]] Expected Output: Original array: [[4 6] [2 1]] Sort along the first axis: [[2 1] [4 6]] Sort along the last axis: [[1 2] [4 6]]

30. Write a NumPy program to sort pairs of first name and last name return their indices. (first by last name, then by first name). first_names = (Betsey, Shelley, Lanell, Genesis, Margery) last_names = (Battle, Brien, Plotner, Stahl, Woolum) Expected Output: [1 3 2 4 0] 31. Write a NumPy program to get the values and indices of the elements that are bigger than 10 in a given array. Original array: [[ 0 10 20] [20 30 40]] Values bigger than 10 = [20 20 30 40] Their indices are (array([0, 1, 1, 1]), array([2, 0, 1, 2]))

32. Write a NumPy program to save a NumPy array to a text file.

33. Write a NumPy program to find the memory size of a NumPy array. Expected Output: 128 bytes

34. Write a NumPy program to create an array of ones and an array of zeros. Expected Output: Create an array of zeros Default type is float [[ 0. 0.]] Type changes to int [[0 0]] Create an array of ones Default type is float [[ 1. 1.]] Type changes to int [[1 1]]

35. Write a NumPy program to change the dimension of an array. Expected Output: 6 rows and 0 columns (6,) (3, 3) -> 3 rows and 3 columns [[1 2 3] [4 5 6] [7 8 9]] Change array shape to (3, 3) -> 3 rows and 3 columns [[1 2 3] [4 5 6] [7 8 9]] 36. Write a NumPy program to create a contiguous flattened array. Original array: [[10 20 30] [20 40 50]] New flattened array [10 20 30 20 40 50]

37. Write a NumPy program to create a 2-dimensional array of size 2 x 3 (composed of 4-byte integer elements), also print the shape, type and data type of the array. Expected Output: (2, 3) int32

38. Write a NumPy program to create a new shape to an array without changing its data. Reshape 3×2: [[1 2] [3 4] [5 6]] Reshape 2×3: [[1 2 3] [4 5 6]]

39. Write a NumPy program to change the data type of an array. Expected Output: [[ 2 4 6] [ 6 8 10]] Data type of the array x is: int32 New Type: float64 [[ 2. 4. 6.] [ 6. 8. 10.]]

40. Write a NumPy program to create a new array of 3*5, filled with 2. Expected Output: [[2 2 2 2 2] [2 2 2 2 2] [2 2 2 2 2]] [[2 2 2 2 2] [2 2 2 2 2][2 2 2 2 2]]

41. Write a NumPy program to create an array of 10’s with the same shape and type of a given array. Sample array: x = np.arange(4, dtype=np.int64) Expected Output: [10 10 10 10]

42. Write a NumPy program to create a 3-D array with ones on a diagonal and zeros elsewhere. Expected Output: [[ 1. 0. 0.] [ 0. 1. 0.] [ 0. 0. 1.]]

43. Write a NumPy program to create a 2-D array whose diagonal equals [4, 5, 6, 8] and 0’s elsewhere. Expected Output: [[4 0 0 0] [0 5 0 0] [0 0 6 0] [0 0 0 8]]

44. Write a NumPy program to create a 1-D array going from 0 to 50 and an array from 10 to 50. Expected Output: Array from 0 to 50: [ 0 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] Array from 10 to 50: [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]

45. Write a NumPy program to Create a 1-D array of 30 evenly spaced elements between 2.5. and 6.5, inclusive. Expected Output: [ 2.5 2.63793103 2.77586207 2.9137931 3.05172414 3.18965517 â€¦â€¦â€¦â€¦â€¦.. 5.81034483 5.94827586 6.0862069 6.22413793 6.36206897 6.5 ]

46. Write a NumPy program to to create a 1-D array of 20 element spaced evenly on a log scale between 2. and 5., exclusive. Expected Output: [ 100. 141.25375446 199.5262315 281.83829313 â€¦â€¦â€¦â€¦â€¦â€¦â€¦. 25118.8643151 35481.33892336 50118.72336273 70794.57843841]

47. Write a NumPy program to create an array which looks like below array. Expected Output: [[ 0. 0. 0.] â€¦â€¦â€¦.. [ 1. 1. 1.]]

48. Write a NumPy program to create an array which looks like below array. Expected Output: [[ 2 3 4] [ 5 6 7] [ 0 9 10] [ 0 0 13]]

49. Write a NumPy program to collapse a 3-D array into one dimension array. Expected Output: 3-D array: [[ 1. 0. 0.] [ 0. 1. 0.] [ 0. 0. 1.]]
One dimension array: [ 1. 0. 0. 0. 1. 0. 0. 0. 1.]

50. Write a NumPy program to find the 4th element of a specified array. Expected Output: [[ 2 4 6] [ 6 8 10]] Forth e1ement of the array: 6

51. Write a NumPy program to interchange two axes of an array. Sample array: [[1 2 3]] Expected Output: [[1] [2] [3]]

52. Write a NumPy program to move axes of an array to new positions. Other axes remain in their original order. Expected Output: (3, 4, 2) (4, 2, 3)

53. Write a NumPy program to move the specified axis backwards, until it lies in a given position. Move the following 3rd array axes to first position. (2,3,4,5) Sample Expected Output: (2, 5, 3, 4)

54. Write a NumPy program to convert specified inputs to arrays with at least one dimension. Expected Output: [ 12.] [[ 0. 1. 2.] [ 3. 4. 5.]]
[array([1]), array([3, 4])]

55. Write a NumPy program to view inputs as arrays with at least two dimensions, three dimensions. Expected Output: View inputs as arrays with at least two dimensions: [10] [[ 0. 1.] [ 2. 3.]] View inputs as arrays with at least three dimensions: [[[15]]] [[[ 0.] [ 1.] [ 2.]]]

56. Write a NumPy program to insert a new axis within a 2-D array. 2-D array of shape (3, 4). Expected Output: New shape will be will be (3, 1, 4).

57. Write a NumPy program to remove single-dimensional entries from a specified shape. Specified shape: (3, 1, 4) Expected Output: (3, 4)

58. Write a NumPy program to concatenate two 2-dimensional arrays. Expected Output: Sample arrays: ([[0, 1, 3], [5, 7, 9]], [[0, 2, 4], [6, 8, 10]] Expected Output: [[ 0 1 3 0 2 4] [ 5 7 9 6 8 10]]

59. Write a NumPy program to convert 1-D arrays as columns into a 2-D array. Sample array: (10,20,30), (40,50,60) Expected Output:
[[10 40] [20 50] [30 60]]

60. Write a NumPy program to convert (in sequence depth wise (along third axis)) two 1-D arrays into a 2-D array. Sample array: (10,20,30), (40,50,60) Expected Output: [[[10 40]] [[20 50]] [[30 60]]]

61. Write a NumPy program to split an array of 14 elements into 3 arrays, each of which has 2, 4, and 8 elements in the original order. Expected Output: Original array: [ 1 2 3 4 5 6 7 8 9 10 11 12 13 14] After splitting: [array([1, 2]), array([3, 4, 5, 6]), array([ 7, 8, 9, 10, 11, 12, 13, 14])]

62. Write a NumPy program to split of an array of shape 4×4 it into two arrays along the second axis. Sample array : [[ 0 1 2 3] â€¦â€¦.. [12 13 14 15]] Expected Output: [array([[ 0, 1], [ 4, 5], [ 8, 9], [12, 13]]), array([[ 2, 3], [ 6, 7], [10, 11], [14, 15]]), array([], shape=(4, 0), dtype=int64)]

63. Write a NumPy program to get the number of nonzero elements in an array.
Expected Output: Original array: [[ 0 10 20] [20 30 40]] Number of non zero elements in the above array: 5

64. Write a NumPy program to create a 5×5 matrix with row values ranging from 0 to 4. Original array: [[ 0. 0. 0. 0. 0.] â€¦â€¦â€¦ [ 0. 0. 0. 0. 0.]] Row values ranging from 0 to 4. [[ 0. 1. 2. 3. 4.] â€¦â€¦â€¦. [ 0. 1. 2. 3. 4.]]

65. Write a NumPy program to test whether specified values are present in an array. Expected Output: Original array: [[ 1.12 2. 3.45] [ 2.33 5.12 6. ]] True False True False True 66. Write a NumPy program to create a vector of size 10 with values ranging from 0 to 1, both excluded. Expected Output: [ 0.09090909 0.18181818 0.27272727 0.36363636 0.45454545 0.545454550.63636364 0.72727273 0.81818182 0.90909091]

67. Write a NumPy program to make an array immutable (read-only). Expected Output: Test the array is read-only or not: Try to change the value of the first element: Traceback (most recent call last): File “19236bd0-0bd9-11e7-a232-c706d0968eb6.py”, line 6, in x[0] = 1 ValueError: assignment destination is read-only

68. Write a NumPy program (using NumPy) to sum of all the multiples of 3 or 5 below 100. Expected Output: [ 3 5 6 9 10 12 15 18 20 21 24 25 27 30 33 35 36 39 40 42 45 48 50 51 54 55 57 60 63 65 66 69 70 72 75 78 80 81 84 85 87 90 93 95 96 99] 2318

69. Write a NumPy program to create an array with 10^3 elements. Expected Output: [ 0. 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. – – – – – – – – – – – – – – – – – 972. 973. 974. 975. 976. 977. 978. 979. 980. 981. 982. 983. 984. 985. 986. 987. 988. 989. 990. 991. 992. 993. 994. 995. 996. 997. 998. 999.]

70. Write a NumPy program to create display every element of a NumPy array. Expected Output: 0 1 2 3 4 5 6 7 8 9 10 11 71. Write a NumPy program to create and display every element of a NumPy array in Fortran order. Expected Output:
PYTHON 8802551718/9990951718 NumPy Array
NUMPY ARRAY
Elements of the array in Fortan array: 0 4 8 1 5 9 2 6 10 3 7 11 72. Write a NumPy program to create a 5x5x5 cube of 1’s. Expected Output: [[[1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1]] â€¦â€¦â€¦â€¦ [[1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1] [1 1 1 1 1]]] 73. Write a NumPy program to create an array of (3, 4) shape, multiply every element value by 3 and display the new array. Expected Output: Original array elements: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]] New array elements: [[ 0 3 6 9] [12 15 18 21] [24 27 30 33]] 74. Write a NumPy program to combine a one and a two dimensional array together and display their elements. Expected Output: One dimensional array: [0 1 2 3] Two dimensional array: [[0 1 2 3][4 5 6 7]] 0:0 1:1 2:2 3:3 0:4 1:5 2:6 3:7

75. Write a NumPy program to create an array of zeros and three column types (integer, float, character). Expected Output: [(1, 2., b’Albert Einstein’) (2, 2., b’Edmond Halley’) (3, 3., b’Gertrude B. Elion’)]

76. Write a NumPy program to create a function cube which cubes all the elements of an array. Expected Output: [ 1 8 27]

77. Write a NumPy program to create an array of (3, 4) shape and convert the array elements in smaller chunks. Expected Output: Original array elements: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]] [0 4 8] [1 5 9] [ 2 6 10] [ 3 7 11]

78. Write a NumPy program to create a record array from a (flat) list of arrays. Sample arrays: [1,2,3,4], [‘Red’, ‘Green’, ‘White’, ‘Orange’],[12.20,15,20,40] Expected Output: (1, ‘Red’, 12.2) (2, ‘Green’, 15.0) (3, ‘White’, 20.0)

79. Write a NumPy program to generate a generic 2D Gaussian-like array. Expected Output: 2D Gaussian-like array: [[ 0.36787944 0.44822088 0.51979489 0.57375342 0.60279818 0.60279818 0.57375342 0.51979489 0.44822088 0.36787944] â€¦â€¦â€¦. [ 0.36787944 0.44822088 0.51979489 0.57375342 0.60279818 0.60279818 0.57375342 0.51979489 0.44822088 0.36787944]]

80. Write a NumPy program to convert a NumPy array into Python list structure. Expected Output: Original array elements: [[0 1] [2 3] [4 5]] Array to list: [[0, 1], [2, 3], [4, 5]]

81. Write a NumPy program to access an array by column. Expected Output: Original array elements: [[0 1] [2 3] [4 5]] Access an array by column: First column:[0 1] Second column: [2 3] Third column: [4 5]

82. Write a NumPy program to convert a NumPy array of float values to a NumPy array of integer values. Expected Output: Original array elements: [[ 12. 12.51] [ 2.34 7.98] [ 25.23 36.5 ]] Convert float values to intger values: [[12 12] [ 2 7] [25 36]]

83. Write a NumPy program to display NumPy array elements of floating values with given precision. Expected Output: Original array elements: [ 0.26153123 0.52760141 0.5718299 0.5927067 0.7831874 0.69746349 0.35399976 0.99469633 0.0694458 0.54711478] Print array values with precision 3: [ 0.262 0.528 0.572 0.593 0.783 0.697 0.354 0.995 0.069 0.547]

84. Write a NumPy program to suppresses the use of scientific notation for small numbers in NumPy array. Expected Output: Original array elements: [ 1.60000000e-10 1.60000000e+00 1.20000000e+03 2.35000000e-01] Print array values with precision 3: [ 0. 1.6 1200. 0.235]

85. Write a NumPy program to create a NumPy array of 10 integers from a generator. Expected Output: [0 1 2 3 4 5 6 7 8 9]

86. Write a NumPy program to add an extra column to a NumPy array. Expected Output: [[ 10 20 30 100] [ 40 50 60 200]]

87. Write a NumPy program to find unique rows in a NumPy array. Expected Output: Original array: [[20 20 20 0] â€¦â€¦. [10 20 20 20]] Unique rows of the above array: [[ 0 20 20 20] [10 20 20 20] [20 20 20 0]]

88. Write a NumPy program to replace all elements of NumPy array that are greater than specified array. Expected Output: Original array: [[ 0.42436315 0.48558583 0.32924763] [ 0.7439979 0.58220701 0.38213418] [ 0.5097581 0.34528799 0.1563123 ]] Replace all elements of the said array with .5 which are greater than. 5 [[ 0.42436315 0.48558583 0.32924763] [ 0.5 0.5 0.38213418][ 0.5 0.34528799 0.1563123 ]]

89. Write a NumPy program to remove specific elements in a NumPy array. Expected Output: Original array: [ 10 20 30 40 50 60 70 80 90 100] Delete first, fourth and fifth elements: [ 20 30 60 70 80 90 100]

90. Write a NumPy program to remove the negative values in a NumPy array with 0. Expected Output: Original array: [-1 -4 0 2 3 4 5 -6] Replace the negative values of the said array with 0: [0 0 0 2 3 4 5 0]

91. Write a NumPy program to remove all rows in a NumPy array that contain non-numeric values. Expected Output: Original array: [[ 1. 2. 3.] [ 4. 5. nan] [ 7. 8. 9.] [ 1. 0. 1.]] Remove all non-numeric elements of the said array [[ 1. 2. 3.] [ 7. 8. 9.] [ 1. 0. 1.]]

92. Write a NumPy program to select indices satisfying multiple conditions in a NumPy array. Sample array :a = np.array([97, 101, 105, 111, 117]) b = np.array([‘a’,’e’,’i’,’o’,’u’]) Note: Select the elements from the second array corresponding to elements in the first array that are greater than 100 and less than 110 Expected Output: Original arrays [ 97 101 105 111 117] [‘a’ ‘e’ ‘i’ ‘o’ ‘u’] Elements from the second array corresponding to elements in the first array that are greater than 100 and less than 110: [‘e’ ‘i’]

93. Write a NumPy program to get the magnitude of a vector in NumPy. Expected Output: Original array: [1 2 3 4 5] Magnitude of the vector: 7.4161984871

94. Write a NumPy program to count the frequency of unique values in NumPy array. Expected Output: Original array: [10 10 20 10 20 20 20 30 30 50 40 40] Frequency of unique values of the said array: [[10 20 30 40 50] [ 3 4 2 2 1]]

95. Write a NumPy program to check whether the NumPy array is empty or not. Expected Output: 2 0

96. Write a NumPy program to divide each row by a vector element. Expected Output:Original array: [[20 20 20] [30 30 30] [40 40 40]] Vector: [20 30 40] [[ 1. 1. 1.] [ 1. 1. 1.] [ 1. 1. 1.]]

97. Write a NumPy program to print all the values of an array. Expected Output: [[ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.]]

98. Write a NumPy program to convert the raw data in an array to a binary string and then create an array. Expected Output: Original array: [ 10. 20. 30.] Binary string array: b’\x00\x00\x00\x00\x00\[email protected]\x00\x00\x00\x00\x00\[email protected]\x00\x00\x00\x00\x00\x00>@’ Array using fromstring(): [ 10. 20. 30.]

99. Write a NumPy program to sum and compute the product of a NumPy array elements. Expected Output: Original array: [ 10. 20. 30.] Sum of the array elements: 60.0 Product of the array elements:6000.0

100. Write a NumPy program to take values from a source array and put them at specified indices of another array. Expected Output: [ 10. 10. 20. 30. 30.] Put 0 and 40 in first and fifth position of the above array Array x after put two values: [ 0. 10. 20. 30. 40.]

101. Write a NumPy program to print the full NumPy array, without truncation. Truncated output: [ 0 1 2 â€¦ 1997 1998 1999]

102. Write a NumPy program to convert a NumPy array into a csv file.

103. Write a NumPy program to calculate the Euclidean distance. From Wikipedia: In mathematics, the Euclidean distance or Euclidean metric is the “ordinary” straight-line distance between two points in Euclidean space. With this distance, Euclidean space becomes a metric space. The associated norm is called the Euclidean norm. Older literature refers to the metric as the Pythagorean metric. Sample Output: Euclidean distance: 5.196152422706632 104. Write a NumPy program to access last two columns of a multidimensional columns. Sample Output: [[1 2 3] [4 5 6] [7 8 9]] [[2 3] [5 6][8 9]]

105. Write a NumPy program to read a CSV data file and store records in an array. Sample CSV file: fdata.csv Date,Open,High,Low,Close 03-10-16,774.25,776.065002,769.5,772.559998 â€¦â€¦â€¦â€¦â€¦.. 07-10-16,779.659973,779.659973,770.75,775.080017 Sample Output: [(b’Date’, nan, nan, nan, nan) (b’03-10-16′, 774.25, 776.065, 769.5 , 772.56) â€¦â€¦â€¦â€¦â€¦â€¦â€¦. (b’07-10-16′, 779.66, 779.66 , 770.75, 775.08)]

106. Write a NumPy program to count the occurrence of a specified item in a given NumPy array. Sample Output: Original array: [10 20 20 20 20 0 20 30 30 30 0 0 20 20 0] 1 7 3 4

107. Write a NumPy program to calculate percentiles for a sequence or single-dimensional NumPy array. Sample Output: 50th percentile (median): 3.0 40th percentile: 2.6 90th percentile: 4.6

108. Write a NumPy program to convert a PIL Image into a NumPy array. Sample Output: [[[255 255 255 0] â€¦â€¦. [255 255 255 0]]]

109. Write a NumPy program to convert a NumPy array to an image. Display the image. Sample Output:

110. Write a NumPy program to remove nan values from a given array. Sample Output: Original array: [200. 300. nan nan nan 700.] After removing nan values: [200. 300. 700.] Original array: [[ 1. 2. 3.] [nan 0. nan] [ 6. 7. nan]] After removing nan values: [1. 2. 3. 0. 6. 7.]

111. Write a NumPy program to create a Cartesian product of two arrays into single array of 2D points.
PYTHON 8802551718/9990951718 NumPy Array
NUMPY ARRAY
Sample Output: [[1 4] â€¦â€¦ [3 5]] 112. Write a NumPy program to get the memory usage by NumPy arrays. Sample Output: 8256 113. Write a NumPy program to build an array of all combinations of three NumPy arrays. Sample Output: Original arrays: Array-1 [1, 2, 3] Array-2 [4, 5] Array-3 [6, 7] Combine array: [[1 4 6] â€¦â€¦.. [3 4 7] [3 5 7]] 114. Write a NumPy program to create random set of rows from 2D array. Sample Output: Random set of rows from 2D array array: [[4 0 2] â€¦â€¦. [3 4 3]] 115. Write a NumPy program to find indices of elements equal to zero in a NumPy array. sample Output: Original array: [1 0 2 0 3 0 4 5 6 7 8] Indices of elements equal to zero of the said array: [1 3 5]

116. Write a NumPy program to compute the histogram of a set of data. Sample Output:

117. Write a NumPy program to compute the line graph of a set of data. Sample Output: 118. Write a NumPy program to find the position of the index of a specified value greater than existing value in NumPy array. Sample Output: Original array: [-6 -5 -4 -3 -2 -1 0 1 2 3 4 5] Position of the index: 9

119. Write a NumPy program to add a new row to an empty NumPy array. Sample Output: Empty array: [] After adding two new arrays: [[10 20 30] [40 50 60]] 120. Write a NumPy program to get the index of a maximum element in a NumPy array along one axis. Sample Output: Original array: [[1 2 3] [4 3 1]] Index of a maximum element in a NumPy array along one axis: 4

121. Write a NumPy program to join a sequence of arrays along a new axis. Sample Output: Original arrays: [1 2 3] [2 3 4] Sequence of arrays along a new axis: [[1 2 3] [2 3 4]] Original arrays: [[1] [2][3]] [[2] [3] [4]] Sequence of arrays along a new axis: [[1] [2] [3] [2] [3] [4]]

122. Write a NumPy program to find the index of the sliced elements as follows from a given 4×4 array. Sample Output: Original arrays: [[ 0 1 2 3] â€¦â€¦.. [12 13 14 15]] Sliced elements: [ 0 5 11]

123. Write a NumPy program to create two arrays of size bigger and smaller than a given array. Sample Output: Original arrays: [[ 0 1 2 3] â€¦â€¦.. [12 13 14 15]] Array with size 2×2 from the said array: [[0 1] [2 3]] Array with size 6×6 from the said array: [[ 0 1 2 3 4 5] â€¦â€¦â€¦[14 15 0 1 2 3]]

124. Write a NumPy program to broadcast on different shapes of arrays where p(3,3) + q(3). Sample Output: Original arrays: Array-1 [[0 0 0] [1 2 3] [4 5 6]] Array-2 [10 11 12] New Array: [[10 11 12] [11 13 15] [14 16 18]]

125. Write a NumPy program to broadcast on different shapes of arrays where a(,3) + b(3). Sample Output: Original arrays: Array-1 [[ 0] [10] [20]] Array-2 [10 11 12] New Array: [[10 11 12] [20 21 22] [30 31 32]]

126. Write a NumPy program to rearrange the dimensions of a given array. Sample Output: Original arrays:[[ 0 1 2 3] â€¦â€¦â€¦.. [20 21 22 23]] After reverse the dimensions: [[ 0 4 8 12 16 20] â€¦â€¦â€¦â€¦ [ 3 7 11 15 19 23]]

127. Write a NumPy program to stack arrays in sequence horizontally (column wise). Sample Output: Original arrays: Array-1 [[0 1 2] [3 4 5] [6 7 8]] Array-2 [[ 0 3 6] [ 9 12 15] [18 21 24]] Stack arrays in sequence horizontally: [[ 0 1 2 0 3 6] [ 3 4 5 9 12 15] [ 6 7 8 18 21 24]]

128. Write a NumPy program to stack arrays in sequence vertically. Sample Output: Original arrays: Array-1 [[0 1 2] [3 4 5] [6 7 8]] Array-2 [[ 0 3 6] [ 9 12 15] [18 21 24]]Stack arrays in sequence vertically: [[ 0 1 2] â€¦â€¦â€¦.. [18 21 24]]

129. Write a NumPy program to stack 1-D arrays as columns wise. Sample Output: Original arrays: Array-1 [1 2 3] Array-2 [2 3 4] Stack 1-D arrays as columns wise: [[1 2] [2 3] [3 4]]

130. Write a NumPy program to stack 1-D arrays as row wise. Sample Output: Original arrays: Array-1 [1 2 3] Array-2 [2 3 4] Stack 1-D arrays as rows wise: [[1 2 3] [2 3 4]]

131. Write a NumPy program to split a given array into multiple sub-arrays vertically (row-wise). Sample Output: Original arrays: [[ 0. 1. 2. 3.] â€¦â€¦â€¦â€¦. [12. 13. 14. 15.]] Split an array into multiple sub-arrays vertically:[array([[0., 1., 2., 3.], [4., 5., 6., 7.]]), array([[ 8., 9., 10., 11.], [12., 13., 14., 15.]])]

132. Write a NumPy program to split array into multiple sub-arrays along the 3rd axis. Sample Output: Original arrays: [[[ 0. 1. 2. 3.] [ 4. 5. 6. 7.]] [[ 8. 9. 10. 11.] [12. 13. 14. 15.]]] split array into multiple sub-arrays along the 3rd axis: [array([[[ 0., 1.], [ 4., 5.]], [[ 8., 9.], [12., 13.]]]), array([[[ 2., 3.], [ 6., 7.]], [[10., 11.], [14., 15.]]])]

133. Write a NumPy program to count the number of dimensions, number of elements and number of bytes for each element in a given array. Sample Output: Original arrays: [[ 0 1 2 3 4 5 6 7 8 9 10 11] [12 13 14 15 16 17 18 19 20 21 22 23]] Number of dimensions: 2 Number of elements: 24 Number of bytes for each element in the said array: 8

134.Write a NumPy program to extract all the elements of the first row from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: First row [0 1 2 3]

135. Write a NumPy program to extract all the elements of the second row from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: Second row [4 5 6 7]

136. Write a NumPy program to extract all the elements of the third column from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: Third column [ 2 6 10 14]

137. Write a NumPy program to extract first and second elements of the first and second rows from a given (4×4) array. Sample Output:Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: First and second elements of the first and second rows [[0 1] [4 5]]

138. Write a NumPy program to extract third and fourth elements of the first and second rows from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: Third and fourth elements of the first and second rows [[2 3] [6 7]]

139. Write a NumPy program to extract first and third elements of the first and third rows from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: First and third elements of the first and third rows [[ 0 2] [ 8 10]]

140. Write a NumPy program to extract second and fourth elements of the second and fourth rows from a given (4×4) array. Sample Output:Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: Second and fourth elements of the second and fourth rows [[ 5 7] [13 15]]

141. Write a NumPy program to extract all the elements of the second and third columns from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: All the elements of the second and third columns [[ 1 2] [ 5 6] [ 9 10] [13 14]]

142. Write a NumPy program to extract all the elements of the first and fourth columns from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: All the elements of the first and fourth columns [[ 0 3] [ 4 7] [ 8 11][12 15]]

143. Write a NumPy program to extract first element of the second row and fourth element of fourth row from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: First element of the second row and fourth element of fourth row [ 4 15]

144. Write a NumPy program to extract all the elements of the second and third columns from a given (4×4) array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: Second and third elements of the second and third rows [[ 5 6] [ 9 10]]

145. Write a NumPy program to extract first, third and fifth elements of the third and fifth rows from a given (6×6) array. Sample Output: Original array: [[ 0 1 2 3 4 5] â€¦â€¦â€¦â€¦â€¦. [30 31 32 33 34 35]] Extracted data: First, third and fifth elements of the third and fifth rows [[12 14 16][24 26 28]]

146. Write a NumPy program to add two arrays A and B of sizes (3,3) and (,3). Sample Output: Original array: Array-1 [[1. 1. 1.] [1. 1. 1.] [1. 1. 1.]] Array-2 [0 1 2] A + B: [[1. 2. 3.] [1. 2. 3.] [1. 2. 3.]]

147. Write a NumPy program to create an array that represents the rank of each item of a given array. Sample Output: Original array: [24 27 30 29 18 14] Rank of each item of the said array: [2 3 5 4 1 0]

148. Write a NumPy program to copy data from a given array to another array. Sample Output: Original array: [24 27 30 29 18 14] Copy of the said array: [24 27 30 29 18 14] 149. Write a NumPy program to find elements within range from a given array of numbers. Sample Output:Original array: [ 1 3 7 9 10 13 14 17 29] Elements within range: index position (array([2, 3, 4, 5, 6, 7]),)

150. Write a NumPy program to swap columns in a given array. Sample Output: Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]] After swapping arrays: [[ 1 0 2 3] [ 5 4 6 7] [ 9 8 10 11]]

151. Write a NumPy program to get the row numbers in given array where at least one item is larger than a specified value. Sample Output: Original array: [[ 0 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]] Row numbers where at least one item is larger than 10: (array([1, 2, 3]),)

152. Write a NumPy program to calculate the sum of all columns of a 2D NumPy array. Sample Output: Original array: [[ 0 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]] Sum of all columns:[54 58 62 66 70 74 78 82 86]

153. Write a NumPy program to extract upper triangular part of a NumPy matrix. Sample Output: Original array: [[ 0 1 2] â€¦â€¦â€¦.. [15 16 17]] Extract upper triangular part of the said array: [0 1 2 4 5 8] Extract upper triangular part of the said array: [0 1 4]

154. Write a NumPy program to get a copy of a matrix with the elements below the k-th diagonal zeroed. Sample Output: Original array: [[1 2 3] [0 5 6] [0 0 9] [0 0 0]] Copy of a matrix with the elements below the k-th diagonal zeroed: [[1 2 3] [0 5 6] [0 0 9] [0 0 0]]

155. Write a NumPy program to check whether a Numpy array contains a specified row. Sample Output: Original array: [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14] [15 16 17 18 19]]True False True

156. Write a NumPy program to calculate averages without NaNs along a given array. Sample Output: Original array: [[10. 20. 30.] [40. 50. nan] [nan 6. nan] [nan nan nan]] Averages without NaNs along the said array: [20. 45. 6. nan]

157. Write a NumPy program to create a new array which is the average of every consecutive triplet of elements of a given array. Sample Output: Original array: [ 1 2 3 2 4 6 1 2 12 0 -12 6] Average of every consecutive triplet of elements of the said array: [ 2. 4. 5. -2.]

158. Write a NumPy program to calculate average values of two given NumPy arrays. Sample Output: Original arrays: [[0, 1], [2, 3]] [[4, 5], [0, 3]] Average values of two said NumPy arrays: [[2. 3.] [1. 3.]] 159. Write a NumPy program to rearrange columns of a given NumPy 2D array using given index positions. Sample Output Original arrays: [[ 11 22 33 44 55] [ 66 77 88 99 100]] New array: [[ 22 44 11 55 33] [ 77 99 66 100 88]]

160. Write a NumPy program to find the k smallest values of a given NumPy array. Sample Output: Original arrays: [ 1. 7. 8. 2. 0.1 3. 15. 2.5] k smallest values: [0.1 1. 2. 2.5]

161. Write a NumPy program to create a white image of size 512×256. Sample Output:

162. 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 indicestidx to get an array of shape (J=4, I=8) back. Sample Output: Original array and shape: [[[3 2 2 7 7 7 0 3] [5 8 4 2 9 9 3 9] [6 8 2 8 5 7 8 7] [5 2 4 0 4 9 2 5]] —————— tidex: [0 2 2 2] Result: [[3 2 2 7 7 7 0 3] [3 9 2 6 3 3 1 0] [5 4 0 6 0 2 7 8] [6 3 1 8 8 1 5 7]]

163. Create two arrays of six elements. Write a NumPy program to count the number of instances of a value occurring in one array on the condition of another array. Sample Output: Original arrays: [ 10 -10 10 -10 -10 10] [0.85 0.45 0.9 0.8 0.12 0.6 ] Number of instances of a value occurring in one array on the condition of another array: 3

164. Write a NumPy program to save as text a matrix which has in each row 2 float and 1 string at the end. Sample Output: string 1 0 aaa 0 1 bbb 0 1 ccc

165. Write a NumPy program to merge three given NumPy arrays of same shape.

166. Write a NumPy program to combine last element with first element of two given ndarray with different shapes. Original arrays: [‘PHP’, ‘JS’, ‘C++’] [‘Python’, ‘C#’, ‘NumPy’] After Combining: [‘PHP’ ‘JS’ ‘C++Python’ ‘C#’ ‘NumPy’]

167. Write a NumPy program to convert a Python dictionary to a NumPy ndarray. Original dictionary: {‘column0’: {‘a’: 1, ‘b’: 0.0, ‘c’: 0.0, ‘d’: 2.0}, ‘column1’: {‘a’: 3.0, ‘b’: 1, ‘c’: 0.0, ‘d’: -1.0}, ‘column2’: {‘a’: 4, ‘b’: 1, ‘c’: 5.0, ‘d’: -1.0}, ‘column3’: {‘a’: 3.0, ‘b’: -1.0, ‘c’: -1.0, ‘d’: -1.0}} Type: ndarray: [[ 1. 0. 0. 2.] [ 3. 1. 0. -1.] [ 4. 1. 5. -1.] [ 3. -1. -1. -1.]] Type:

168. Write a NumPy program to convert Pandas dataframe to NumPy array with headers. Original NumPy array: [[0.18308157 0.32258608 0.39644848] [0.31018507 0.08220454 0.40018982] [0.63639779 0.34908174 0.39878868] â€¦â€¦â€¦â€¦ [0.02482073 0.02318678 0.36032194] [0.69001834 0.04285817 0.31768865]] Type:Panda’s DataFrame: A B C 0 0.015583 0.968431 0.943192 1 0.221607 0.704098 0.241200 2 0.466129 0.269226 0.450781 3 0.747222 0.674508 0.686070 â€¦â€¦â€¦â€¦ 10 0.272827 0.817238 0.093650 11 0.196416 0.643602 0.262683 Type:

169. Write a NumPy program to get all 2D diagonals of a 3D NumPy array. Original NumPy array: [[[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14] [15 16 17 18 19]] â€¦â€¦â€¦â€¦ [[40 41 42 43 44] [45 46 47 48 49] [50 51 52 53 54] [55 56 57 58 59]]] Type: 2D diagonals: [[ 0 6 12 18] [20 26 32 38] [40 46 52 58]] Type:

170. Create a 2-dimensional array of size 2 x 3, composed of 4-byte integer elements. Write a NumPy program to find the number of occurrences of a sequence in the said array. Original NumPy array: [[1 2 3] [2 1 2]] Type: Sequence: 2,3 Number of occurrences of the said sequence: 2

171. Write a NumPy program to search the index of a given array in another given array. Original NumPy array: [[ 1 2 3] [ 4 5 6] [ 7 8 9] [10 11 12]] Searched array: [4 5 6] Index of the searched array in the original array: [1]

172. Write a NumPy program to find and store non-zero unique rows in an array after comparing each row with other row in a given matrix. Original array: [[ 1 1 0] [ 0 0 0] [ 0 2 3] [ 0 0 0] [ 0 -1 1] [ 0 0 0]] Non-zero unique rows: [[ 1 1 0] [ 0 2 3] [ 0 -1 1]]

173. Write a NumPy program to set zero to lower triangles along the last two axes of a three-dimensional of a given array. Original array: [[[1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1.] â€¦â€¦â€¦â€¦..[1. 1. 1. 1. 1. 1. 1. 1.]]] Result: [[[0. 1. 1. 1. 1. 1. 1. 1.] [0. 0. 1. 1. 1. 1. 1. 1.] â€¦â€¦â€¦â€¦â€¦.. [0. 0. 0. 0. 0. 0. 0. 0.]]]

174. Write a NumPy program to get the number of items, array dimensions, number of array dimensions and the memory size of each element of a given array. Original array: [[ 1 2 3 4] [ 5 6 7 8] [ 9 10 11 12]] Number of items of the said array: 12 Array dimensions: (3, 4) Number of array dimensions: 2 Memory size of each element of the said array 8

175. Write a NumPy program to create an 1-D array of 20 elements. Now create a new array of shape (5, 4) from the said array, then restores the reshaped array into a 1-D array. Original array: [ 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38] New array of shape(5, 3): [[ 0 2 4 6] [ 8 10 12 14] [16 18 20 22] [24 26 28 30] [32 34 36 38]] Restore the reshaped array into a 1-D array:[ 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38]

176. Write a NumPy program to create an array of 4,5 shape and swap column1 with column4. Original array: [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14] [15 16 17 18 19]] After swapping column1 with column4: [[ 3 1 2 0 4] [ 8 6 7 5 9] [13 11 12 10 14] [18 16 17 15 19]]

177. Write a NumPy program to create an array of 4,5 shape and to reverse the rows of the said array. After reversing 1st row will be 4th and 4th will be 1st, 2nd row will be 3rd row and 3rd row will be 2nd row. Original array: [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14] [15 16 17 18 19]] After reversing: [[15 16 17 18 19] [10 11 12 13 14] [ 5 6 7 8 9] [ 0 1 2 3 4]]

178. Write a NumPy program to replace all the nan (missing values) of a given array with the mean of another array. Original arrays: [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14] [15 16 17 18 19]][[ 1. 2. nan] [ 4. 5. 6.] [nan 7. nan]] All the nan of array_nums2 replaced by the mean of array_nums1: [[1. 2. 9.5] [4. 5. 6. ] [9.5 7. 9.5]]

179. Write a NumPy program to fetch all items from a given array of 4,5 shape which are either greater than 6 and a multiple of 3. Original arrays: [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14] [15 16 17 18 19]] Items greater than 6 and a multiple of 3 of the said array: [ 9 12 15 18] 180. Write a NumPy program to check whether the dimensions of two given arrays are same or not.

181. Write a NumPy program to place a specified element in specified time randomly in a specified 2D array. Original array: [[0. 0. 0. 0.] [0. 0. 0. 0.] [0. 0. 0. 0.] [0. 0. 0. 0.]] Place a specified element in specified time randomly: [[10. 0. 0. 0.] [10. 0. 0. 0.] [ 0. 0. 0. 10.] [ 0. 0. 0. 0.]]

182. Write a NumPy program to subtract the mean of each row of a given matrix.Original matrix: [[0.59243452 0.51883289 0.03732848 0.49544926 0.22637201 0.45750412 0.81614237 0.86681236 0.95482226 0.54789281] â€¦â€¦â€¦â€¦.. [0.14428353 0.20556412 0.97059136 0.53545871 0.93828877 0.81535277 0.60563373 0.47543413 0.0468766 0.97460889]] Subtract the mean of each row of the said matrix: [[ 0.04107541 -0.03252622 -0.51403063 -0.05590985 -0.3249871 -0.09385499 0.26478326 0.31545325 0.40346315 -0.0034663 ] â€¦â€¦â€¦â€¦â€¦â€¦.. [-0.42692573 -0.36564514 0.3993821 -0.03575056 0.36707951 0.24414351 0.03442447 -0.09577513 -0.52433266 0.40339963]]

183. Write a NumPy program to test whether a given 2D array has null columns or not. Original array: [[1 2 1 1 1 2 1 1 2 0] [1 1 0 0 0 0 2 1 2 0] [0 0 2 1 0 2 2 2 2 2] [1 1 1 2 0 0 0 0 1 2]] Test whether the said array has null columns or not: False

184. Write a NumPy program to create an array using generator function that generates 15 integers. New array: [ 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14.]

185. Write a NumPy program to create a new vector with 2 consecutive 0 between two values of a given vector. Original array: [1 2 3 4 5 6 7 8] New array: [1. 0. 0. 2. 0. 0. 3. 0. 0. 4. 0. 0. 5. 0. 0. 6. 0. 0. 7. 0. 0. 8.]

186. Write a NumPy program to create a new vector with 2 consecutive 0 between two values of a given vector. Original array: [[[1. 1. 1.] [1. 1. 1.]] [[1. 1. 1.] [1. 1. 1.]]] New array: [[[3. 3. 3.] [3. 3. 3.]] [[3. 3. 3.] [3. 3. 3.]]]

187. Write a NumPy program to convert a given vector of integers to a matrix of binary representation. Original vector: [ 0 1 3 5 7 9 11 13 15] Binary representation of the said vector: [[0 0 0 0 0 0 0 0] [0 0 0 0 0 0 0 1] â€¦â€¦â€¦â€¦.. [0 0 0 0 1 1 1 1]] 188. Write a NumPy program to extract rows with unequal values (e.g. [1,1,2]) from 10×3 matrix. Original vector: [[3 2 0] â€¦â€¦.. [3 0 2]] Rows with unequal values: [[3 2 0] [2 3 1] â€¦â€¦â€¦[3 0 2]]

189. Write a NumPy program to find rows of a given array of shape (8,3) that contain elements of each row of another given array of shape (2,2). Original arrays: [[5 2 5 1] [5 4 1 3] â€¦â€¦â€¦. [4 0 4 0]] [[2 3 1] [1 1 4]] Rows of a given array that contain elements of each row of another given array: [0 1 2 4]

190. Write a NumPy program to create a record array from a given regular arrar. Original arrays: [[‘Yasemin Rayner’ ‘88.5’ ’90’] [‘Ayaana Mcnamara’ ’87’ ’99’] [‘Jody Preece’ ‘85.5’ ’91’]] Record array; [(b’Yasemin Rayner’, 88.5, 90) (b’Ayaana Mcnamara’, 87. , 99) (b’Jody Preece’, 85.5, 91)] 191. Write a NumPy program to get the block-sum (block size is 5×5) from a given array of shape 25×25. Original arrays: [[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] â€¦â€¦â€¦â€¦â€¦â€¦â€¦â€¦. [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]] Block-sum (5×5) of the said array: [[25. 25. 25. 25. 25.] [25. 25. 25. 25. 25.] [25. 25. 25. 25. 25.][25. 25. 25. 25. 25.] [25. 25. 25. 25. 25.]]

192. Write a NumPy program to extract all the contiguous 4×4 blocks from a given random 12×12 matrix. Original arrays: [[3 3 1 2 0 3 0 3 2 0 1 0] [4 0 4 2 0 0 0 0 2 2 2 3] â€¦â€¦â€¦â€¦â€¦â€¦ [1 2 3 4 1 2 3 4 3 2 3 4] [4 0 4 2 2 4 1 4 2 0 0 0]] Contiguous 4×4 blocks: [[[[3 3 1 2] [4 0 4 2] [1 4 0 1] [1 4 2 4]] â€¦ [[4 1 1 0] [1 0 2 2] [3 2 3 4] [2 0 0 0]]]]