w3resource
NumPy Exercises

NumPy: Array Object Exercises, Practice, Solution

NumPy Array Object [160 exercises with solution]

[An editor is available at the bottom of the page to write and execute the scripts.]

Python NumPy: Array Object

1. Write a NumPy program to print the NumPy version in your system. Go to the editor
Click me to see the sample solution

2. Write a NumPy program to convert a list of numeric value into a one-dimensional NumPy array. Go to the editor
Expected Output:
Original List: [12.23, 13.32, 100, 36.32]
One-dimensional numpy array: [ 12.23 13.32 100. 36.32]
Click me to see the sample solution

3.Write a NumPy program to create a 3x3 matrix with values ranging from 2 to 10. Go to the editor
Expected Output:
[[ 2 3 4]
[ 5 6 7]
[ 8 9 10]]
Click me to see the sample solution

4. Write a NumPy program to create a null vector of size 10 and update sixth value to 11.Go to the editor
[ 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.]
Click me to see the sample solution

5. Write a NumPy program to create a array with values ranging from 12 to 38.Go to the editor
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]
Click me to see the sample solution

6. Write a NumPy program to reverse an array (first element becomes last). Go to the editor
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]
Click me to see the sample solution

7. Write a NumPy program to an array converted to a float type. Go to the editor
Sample output:
Original array
[1, 2, 3, 4]
Array converted to a float type:
[ 1. 2. 3. 4.]
Click me to see the sample solution

8. Write a NumPy program to create a 2d array with 1 on the border and 0 inside. Go to the editor
Expected Output:
Original array:
[[ 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 on the border and 0 inside in the array
[[ 1. 1. 1. 1. 1.]
[ 1. 0. 0. 0. 1.]
[ 1. 0. 0. 0. 1.]
[ 1. 0. 0. 0. 1.]
[ 1. 1. 1. 1. 1.]]
Click me to see the sample solution

9. Write a NumPy program to add a border (filled with 0's) around an existing array. Go to the editor
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.]
[ 0. 1. 1. 1. 0.]
[ 0. 1. 1. 1. 0.]
[ 0. 1. 1. 1. 0.]
[ 0. 0. 0. 0. 0.]]
Click me to see the sample solution

10. Write a NumPy program to create a 8x8 matrix and fill it with a checkerboard pattern. Go to the editor
Checkerboard pattern:
[[0 1 0 1 0 1 0 1]
[1 0 1 0 1 0 1 0]
[0 1 0 1 0 1 0 1]
[1 0 1 0 1 0 1 0]
[0 1 0 1 0 1 0 1]
[1 0 1 0 1 0 1 0]
[0 1 0 1 0 1 0 1]
[1 0 1 0 1 0 1 0]]
Click me to see the sample solution

11. Write a NumPy program to convert a list and tuple into arrays. Go to the editor
List to array:
[1 2 3 4 5 6 7 8]
Tuple to array:
[[8 4 6]
[1 2 3]]
Click me to see the sample solution

12. Write a NumPy program to append values to the end of an array. Go to the editor
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]
Click me to see the sample solution

13. Write a NumPy program to create an empty and a full array. Go to the editor
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]]
Click me to see the sample solution

14. Write a NumPy program to convert the values of Centigrade degrees into Fahrenheit degrees. Centigrade values are stored into a NumPy array. Go to the editor
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]
Click me to see the sample solution

15. Write a NumPy program to find the real and imaginary parts of an array of complex numbers. Go to the editor
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]
Click me to see the sample solution

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. Go to the editor
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
Click me to see the sample solution

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

18. Write a NumPy program to find common values between two arrays. Go to the editor
Expected Output:
Array1: [ 0 10 20 40 60]
Array2: [10, 30, 40]
Common values between two arrays:
[10 40]
Click me to see the sample solution

19. Write a NumPy program to get the unique elements of an array. Go to the editor
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]
Click me to see the sample solution

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. Go to the editor
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]
Click me to see the sample solution

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. Go to the editor
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]
Click me to see the sample solution

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. Go to the editor
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]
Click me to see the sample solution

23. Write a NumPy program to test if all elements in an array evaluate to True. Go to the editor
Note: 0 evaluates to False in NumPy.
Click me to see the sample solution

24. Write a NumPy program to test whether any array element along a given axis evaluates to True. Go to the editor
Note: 0 evaluates to False in NumPy.
Click me to see the sample solution

25. Write a NumPy program to construct an array by repeating. Go to the editor

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]

Click me to see the sample solution

26. Write a NumPy program to repeat elements of an array. Go to the editor
Expected Output:
[3 3 3 3]
[1 1 2 2 3 3 4 4]
Click me to see the sample solution

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

28. Write a NumPy program compare two arrays using numpy. Go to the editor
Array a: [1 2]
Array b: [4 5]
a > b
[False False]
a >= b
[False False]
a < b
[ True True]
a <= b
[ True True]
Click me to see the sample solution

29. Write a NumPy program to sort an along the first, last axis of an array. Go to the editor
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]]
Click me to see the sample solution

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). Go to the editor
first_names = (Betsey, Shelley, Lanell, Genesis, Margery)
last_names = (Battle, Brien, Plotner, Stahl, Woolum)
Expected Output:
[1 3 2 4 0]
Click me to see the sample solution

31. Write a NumPy program to get the values and indices of the elements that are bigger than 10 in a given array. Go to the editor
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]))
Click me to see the sample solution

32. Write a NumPy program to save a NumPy array to a text file. Go to the editor
Click me to see the sample solution

33. Write a NumPy program to find the memory size of a NumPy array. Go to the editor
Expected Output:
128 bytes
Click me to see the sample solution

34. Write a NumPy program to create an array of ones and an array of zeros. Go to the editor
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]]
Click me to see the sample solution

35. Write a NumPy program to change the dimension of an array. Go to the editor
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]]
Click me to see the sample solution

36. Write a NumPy program to create a contiguous flattened array. Go to the editor
Original array:
[[10 20 30]
[20 40 50]]
New flattened array:
[10 20 30 20 40 50]
Click me to see the sample solution

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. Go to the editor
Expected Output:

(2, 3)
int32
Click me to see the sample solution

38. Write a NumPy program to create a new shape to an array without changing its data. Go to the editor
Reshape 3x2:
[[1 2]
[3 4]
[5 6]]
Reshape 2x3:
[[1 2 3]
[4 5 6]]
Click me to see the sample solution

39. Write a NumPy program to change the data type of an array. Go to the editor
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.]]
Click me to see the sample solution

40. Write a NumPy program to create a new array of 3*5, filled with 2. Go to the editor
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]]
Click me to see the sample solution

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

42. Write a NumPy program to create a 3-D array with ones on a diagonal and zeros elsewhere. Go to the editor
Expected Output:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[ 0. 0. 1.]]
Click me to see the sample solution

43. Write a NumPy program to create a 2-D array whose diagonal equals [4, 5, 6, 8] and 0's elsewhere. Go to the editor
Expected Output:
[[4 0 0 0]
[0 5 0 0]
[0 0 6 0]
[0 0 0 8]]
Click me to see the sample solution

44. Write a NumPy program to create a 1-D array going from 0 to 50 and an array from 10 to 50. Go to the editor
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]
Click me to see the sample solution

45. Write a NumPy program to Create a 1-D array of 30 evenly spaced elements between 2.5. and 6.5, inclusive. Go to the editor
Expected Output:
[ 2.5 2.63793103 2.77586207 2.9137931 3.05172414 3.18965517
3.32758621 3.46551724 3.60344828 3.74137931 3.87931034 4.01724138
4.15517241 4.29310345 4.43103448 4.56896552 4.70689655 4.84482759
4.98275862 5.12068966 5.25862069 5.39655172 5.53448276 5.67241379
5.81034483 5.94827586 6.0862069 6.22413793 6.36206897 6.5 ]
Click me to see the sample solution

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. Go to the editor
Expected Output:
[ 100. 141.25375446 199.5262315 281.83829313
398.10717055 562.34132519 794.32823472 1122.0184543
1584.89319246 2238.72113857 3162.27766017 4466.83592151
6309.5734448 8912.50938134 12589.25411794 17782.79410039
25118.8643151 35481.33892336 50118.72336273 70794.57843841]
Click me to see the sample solution

47. Write a NumPy program to create an array which looks like below array. Go to the editor
Expected Output:
[[ 0. 0. 0.]
[ 1. 0. 0.]
[ 1. 1. 0.]
[ 1. 1. 1.]]
Click me to see the sample solution

48. Write a NumPy program to create an array which looks like below array. Go to the editor
Expected Output:
[[ 2 3 4]
[ 5 6 7]
[ 0 9 10]
[ 0 0 13]]
Click me to see the sample solution

49. Write a NumPy program to collapse a 3-D array into one dimension array. Go to the editor
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.]
Click me to see the sample solution

50. Write a NumPy program to find the 4th element of a specified array. Go to the editor
Expected Output:
[[ 2 4 6]
[ 6 8 10]]
Forth e1ement of the array:
6
Click me to see the sample solution

51. Write a NumPy program to interchange two axes of an array. Go to the editor
Sample array: [[1 2 3]]
Expected Output:
[[1]
[2]
[3]]
Click me to see the sample solution

52. Write a NumPy program to move axes of an array to new positions. Other axes remain in their original order. Go to the editor
Expected Output:
(3, 4, 2)
(4, 2, 3)
Click me to see the sample solution

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

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

55. Write a NumPy program to view inputs as arrays with at least two dimensions, three dimensions. Go to the editor
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.]]]
Click me to see the sample solution

56. Write a NumPy program to insert a new axis within a 2-D array. Go to the editor
2-D array of shape (3, 4).
Expected Output:
New shape will be will be (3, 1, 4).
Click me to see the sample solution

57. Write a NumPy program to remove single-dimensional entries from a specified shape. Go to the editor
Specified shape: (3, 1, 4)
Expected Output: (3, 4)
Click me to see the sample solution

58. Write a NumPy program to concatenate two 2-dimensional arrays. Go to the editor
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]]
Click me to see the sample solution

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

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

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. Go to the editor
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])]
Click me to see the sample solution

62. Write a NumPy program to split of an array of shape 4x4 it into two arrays along the second axis. Go to the editor
Sample array :
[[ 0 1 2 3]
[ 4 5 6 7]
[ 8 9 10 11]
[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)]
Click me to see the sample solution

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

64. Write a NumPy program to create a 5x5 matrix with row values ranging from 0 to 4. Go to the editor
Original array:
[[ 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0.]]
Row values ranging from 0 to 4.
[[ 0. 1. 2. 3. 4.]
[ 0. 1. 2. 3. 4.]
[ 0. 1. 2. 3. 4.]
[ 0. 1. 2. 3. 4.]
[ 0. 1. 2. 3. 4.]]
Click me to see the sample solution

65. Write a NumPy program to test if specified values are present in an array. Go to the editor
Expected Output:
Original array:
[[ 1.12 2. 3.45]
[ 2.33 5.12 6. ]]
True
False
True
False
True

Click me to see the sample solution

66. Write a NumPy program to create a vector of size 10 with values ranging from 0 to 1, both excluded. Go to the editor
Expected Output:
[ 0.09090909 0.18181818 0.27272727 0.36363636 0.45454545 0.54545455
0.63636364 0.72727273 0.81818182 0.90909091]
Click me to see the sample solution

67. Write a NumPy program to make an array immutable (read-only). Go to the editor
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
Click me to see the sample solution

68. Write a NumPy program (using numpy) to sum of all the multiples of 3 or 5 below 100. Go to the editor
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
Click me to see the sample solution

69. Write a NumPy program to create an array with 10^3 elements. Go to the editor
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.]
Click me to see the sample solution

70. Write a NumPy program to create display every element of an numpy array. Go to the editor
Expected Output:
0 1 2 3 4 5 6 7 8 9 10 11
Click me to see the sample solution

71. Write a NumPy program to create and display every element of an numpy array in Fortran order. Go to the editor
Expected Output:
Elements of the array in Fortan array:
0 4 8 1 5 9 2 6 10 3 7 11
Click me to see the sample solution

72. Write a NumPy program to create a 5x5x5 cube of 1's. Go to the editor
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]]

[[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]]

[[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]]]
Click me to see the sample solution

73. Write a NumPy program to create an array of (3, 4) shape, multiply every element value by 3 and display the new array. Go to the editor
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]]
Click me to see the sample solution

74. Write a NumPy program to combine a one and a two dimensional array together and display their elements. Go to the editor
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
Click me to see the sample solution

75. Write a NumPy program to create an array of zeros and three column types (integer, float, character). Go to the editor
Expected Output:
[(1, 2., b'Albert Einstein') (2, 2., b'Edmond Halley')
(3, 3., b'Gertrude B. Elion')]
Click me to see the sample solution

76. Write a NumPy program to create a function cube which cubes all the elements of an array. Go to the editor
Expected Output:
[ 1 8 27]
Click me to see the sample solution

77. Write a NumPy program to create an array of (3, 4) shape and convert the array elements in smaller chunks. Go to the editor
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]
Click me to see the sample solution

78. Write a NumPy program to create a record array from a (flat) list of arrays. Go to the editor
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)
Click me to see the sample solution

79. Write a NumPy program to generate a generic 2D Gaussian-like array. Go to the editor
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]
[ 0.44822088 0.54610814 0.63331324 0.69905581 0.73444367 0.73444367
0.69905581 0.63331324 0.54610814 0.44822088]
.......... [ 0.44822088 0.54610814 0.63331324 0.69905581 0.73444367 0.73444367
0.69905581 0.63331324 0.54610814 0.44822088]
[ 0.36787944 0.44822088 0.51979489 0.57375342 0.60279818 0.60279818
0.57375342 0.51979489 0.44822088 0.36787944]]
Click me to see the sample solution

80. Write a NumPy program to convert a NumPy array into Python list structure. Go to the editor
Expected Output:
Original array elements:
[[0 1]
[2 3]
[4 5]]
Array to list:
[[0, 1], [2, 3], [4, 5]]
Click me to see the sample solution

81. Write a NumPy program to access an array by column. Go to the editor
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]
Click me to see the sample solution

82. Write a NumPy program to convert a numpy array of float values to a numpy array of integer values. Go to the editor
Expected Output:
Original array elements:
[[ 12. 12.51]
[ 2.34 7.98]
[ 25.23 36.5 ]]
Conver float values to intger values:
[[12 12]
[ 2 7]
[25 36]]
Click me to see the sample solution

83. Write a NumPy program to display numpy array elements of floating values with given precision. Go to the editor
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]
Click me to see the sample solution

84. Write a NumPy program to suppresses the use of scientific notation for small numbers in numpy array. Go to the editor
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]
Click me to see the sample solution

85. Write a NumPy program to create a numpy array of 10 integers from a generator. Go to the editor

Expected Output:
[0 1 2 3 4 5 6 7 8 9]
Click me to see the sample solution

86. Write a NumPy program to how to add an extra column to an numpy array. Go to the editor

Expected Output:
[[ 10 20 30 100]
[ 40 50 60 200]]
Click me to see the sample solution

87. Write a NumPy program to find unique rows in a numpy array. Go to the editor

Expected Output:
Original array:
[[20 20 20 0]
[ 0 20 20 20]
[ 0 20 20 20]
[20 20 20 0]
[10 20 20 20]]
Unique rows of the above array:
[[ 0 20 20 20]
[10 20 20 20]
[20 20 20 0]]
Click me to see the sample solution

88. Write a NumPy program to replace all elements of numpy array that are greater than specified array. Go to the editor

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 ]]
Click me to see the sample solution

89. Write a NumPy program to remove specific elements in a numpy array. Go to the editor

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]
Click me to see the sample solution

90. Write a NumPy program to remove the negative values in a numpy array with 0. Go to the editor

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]
Click me to see the sample solution

91. Write a NumPy program to remove all rows in a numpy array that contain non-numeric values. Go to the editor
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.]]
Click me to see the sample solution

92. Write a NumPy program to select indices satisfying multiple conditions in a numpy array. Go to the editor
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']
Click me to see the sample solution

93. Write a NumPy program to get the magnitude of a vector in numpy. Go to the editor
Expected Output:
Original array:
[1 2 3 4 5]
Magnitude of the vector:
7.4161984871
Click me to see the sample solution

94. Write a NumPy program to count the frequency of unique values in numpy array. Go to the editor
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]]
Click me to see the sample solution

95. Write a NumPy program to check whether the numpy array is empty or not. Go to the editor
Expected Output:
2
0
Click me to see the sample solution

96. Write a NumPy program to divide each row by a vector element. Go to the editor
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.]]
Click me to see the sample solution

97. Write a NumPy program to print all the values of an array. Go to the editor
Expected Output:
[[ 0. 0. 0. 0.]
[ 0. 0. 0. 0.]
[ 0. 0. 0. 0.]
[ 0. 0. 0. 0.]]
Click me to see the sample solution

98. Write a NumPy program to convert the raw data in an array to a binary string and then create an array. Go to the editor
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.]
Click me to see the sample solution

99. Write a NumPy program to sum and compute the product of a numpy array elements. Go to the editor
Expected Output:
Original array:
[ 10. 20. 30.]
Sum of the array elements:
60.0
Product of the array elements:
6000.0
Click me to see the sample solution

100. Write a NumPy program to take values from a source array and put them at specified indices of another array. Go to the editor
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.]
Click me to see the sample solution

101. Write a NumPy program to print the full NumPy array, without truncation. Go to the editor
Truncated output:
[ 0 1 2 ... 1997 1998 1999]
Click me to see the sample solution

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

Click me to see the sample solution

103. Write a NumPy program to calculate the Euclidean distance. Go to the editor
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
Click me to see the sample solution

104. Write a NumPy program to access last two columns of a multidimensional columns. Go to the editor
Sample Output:
[[1 2 3]
[4 5 6]
[7 8 9]]
[[2 3]
[5 6]
[8 9]]
Click me to see the sample solution

105. Write a NumPy program to read a CSV data file and store records in an array. Go to the editor
Sample CSV file: fdata.csv
Date,Open,High,Low,Close
03-10-16,774.25,776.065002,769.5,772.559998
04-10-16,776.030029,778.710022,772.890015,776.429993
05-10-16,779.309998,782.070007,775.650024,776.469971
06-10-16,779,780.47998,775.539978,776.859985
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)
(b'04-10-16', 776.03, 778.71 , 772.89, 776.43)
(b'05-10-16', 779.31, 782.07 , 775.65, 776.47)
(b'06-10-16', 779. , 780.48 , 775.54, 776.86)
(b'07-10-16', 779.66, 779.66 , 770.75, 775.08)]
Click me to see the sample solution

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

107. Write a NumPy program to count the occurrence of a specified item in a given NumPy array. Go to the editor
Sample Output:
50th percentile (median):
3.0
40th percentile:
2.6
90th percentile:
4.6
Click me to see the sample solution

108. Write a NumPy program to convert a PIL Image into a numpy array. Go to the editor
Sample Output:
[[[255 255 255 0]
[255 255 255 0]
[255 255 255 0]
.......
[255 255 255 0]]]
Click me to see the sample solution

109. Write a NumPy program to convert a numpy array to an image. Display the image. Go to the editor
Sample Output:
test image
Click me to see the sample solution

110. Write a NumPy program to remove nan values from an given array. Go to the editor
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.]
Click me to see the sample solution

111. Write a NumPy program to create a Cartesian product of two arrays into single array of 2D points. Go to the editor
Sample Output:
[[1 4]
[2 4]
[3 4]
[1 5]
[2 5]
[3 5]]
Click me to see the sample solution

112. Write a NumPy program to get the memory usage by numpy arrays. Go to the editor
Sample Output:
8256
Click me to see the sample solution

113. Write a NumPy program to build an array of all combinations of three numpy arrays. Go to the editor
Sample Output:
Original arrays:
Array-1
[1, 2, 3]
Array-2
[4, 5]
Array-3
[6, 7]
Combine array:
[[1 4 6]
[1 5 6]
[2 4 6]
[2 5 6]
[3 4 6]
[3 5 6]
[1 4 7]
[1 5 7]
[2 4 7]
[2 5 7]
[3 4 7]
[3 5 7]]
Click me to see the sample solution

114. Write a NumPy program to create random set of rows from 2D array. Go to the editor
Sample Output:
Random set of rows from 2D array array:
[[4 0 2]
[4 2 4]
[1 0 4]
[4 4 3]
[3 4 3]]
Click me to see the sample solution

115. Write a NumPy program to find indices of elements equal to zero in a numpy array. Go to the editor
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]
Click me to see the sample solution

116. Write a NumPy program to compute the histogram of a set of data. Go to the editor
Sample Output:
Histogram image
Click me to see the sample solution

117. Write a NumPy program to compute the line graph of a set of data. Go to the editor
Sample Output:
Line graph image
Click me to see the sample solution

118. Write a NumPy program to find the position of the index of a specified value greater than existing value in numpy array. Go to the editor
Sample Output:
Original array:
[-6 -5 -4 -3 -2 -1 0 1 2 3 4 5]
Position of the index:
9
Click me to see the sample solution

119. Write a NumPy program to add a new row to an empty numpy array. Go to the editor
Sample Output:
Empty array:
[]
After adding two new arrays:
[[10 20 30]
[40 50 60]]
Click me to see the sample solution

120. Write a NumPy program to get the index of a maximum element in a numpy array along one axis. Go to the editor
Sample Output:
Original array:
[[1 2 3]
[4 3 1]]
Index of a maximum element in a numpy array along one axis:
4
Click me to see the sample solution

121. Write a NumPy program to join a sequence of arrays along a new axis. Go to the editor
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]]
Click me to see the sample solution

122. Write a NumPy program to find the index of the sliced elements as follows from a give 4x4 array. Go to the editor
Sample Output:
Original arrays:
[[ 0 1 2 3]
[ 4 5 6 7]
[ 8 9 10 11]
[12 13 14 15]]
Sliced elements:
[ 0 5 11]
Click me to see the sample solution

123. Write a NumPy program to create two arrays when the size is bigger or smaller than a given array. Go to the editor
Sample Output:
Original arrays:
[[ 0 1 2 3]
[ 4 5 6 7]
[ 8 9 10 11]
[12 13 14 15]]
Array with size 2x2 from the said array:
[[0 1]
[2 3]]
Array with size 6x6 from the said array:
[[ 0 1 2 3 4 5]
[ 6 7 8 9 10 11]
[12 13 14 15 0 1]
[ 2 3 4 5 6 7]
[ 8 9 10 11 12 13]
[14 15 0 1 2 3]]
Click me to see the sample solution

124. Write a NumPy program to broadcast on different shapes of arrays where p(3,3) + q(3). Go to the editor
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]]
Click me to see the sample solution

125. Write a NumPy program to broadcast on different shapes of arrays where a(,3) + b(3). Go to the editor
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]]
Click me to see the sample solution

126. Write a NumPy program to rearrange the dimensions of a given array. Go to the editor
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]]
After reverse the dimensions:
[[ 0 4 8 12 16 20]
[ 1 5 9 13 17 21]
[ 2 6 10 14 18 22]
[ 3 7 11 15 19 23]]
Click me to see the sample solution

127. Write a NumPy program to stack arrays in sequence horizontally (column wise). Go to the editor
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]]
Click me to see the sample solution

128. Write a NumPy program to stack arrays in sequence vertically. Go to the editor
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]
[ 3 4 5]
[ 6 7 8]
[ 0 3 6]
[ 9 12 15]
[18 21 24]]
Click me to see the sample solution

129. Write a NumPy program to stack arrays in sequence vertically. Go to the editor
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]]
Click me to see the sample solution

130. Write a NumPy program to stack 1-D arrays as row wise. Go to the editor
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]]
Click me to see the sample solution

131. Write a NumPy program to split an given array into multiple sub-arrays vertically (row-wise). Go to the editor
Sample Output:
Original arrays:
[[ 0. 1. 2. 3.]
[ 4. 5. 6. 7.]
[ 8. 9. 10. 11.]
[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.]])]
Click me to see the sample solution

132. Write a NumPy program to split array into multiple sub-arrays along the 3rd axis. Go to the editor
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.]]])]
Click me to see the sample solution

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. Go to the editor
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
Click me to see the sample solution

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. Go to the editor
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:
4
Click me to see the sample solution

134. Write a NumPy program to extract all the elements of the first row from a given (4x4) array. Go to the editor
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]
Click me to see the sample solution

135. Write a NumPy program to extract all the elements of the second row from a given (4x4) array. Go to the editor
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]
Click me to see the sample solution

136. Write a NumPy program to extract all the elements of the third column from a given (4x4) array. Go to the editor
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]
Click me to see the sample solution

137. Write a NumPy program to extract first and second elements of the first and second rows from a given (4x4) array. Go to the editor
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]]
Click me to see the sample solution

138. Write a NumPy program to extract third and fourth elements of the first and second rows from a given (4x4) array. Go to the editor
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]]
Click me to see the sample solution

139. Write a NumPy program to extract first and third elements of the first and third rows from a given (4x4) array. Go to the editor
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]]
Click me to see the sample solution

140. Write a NumPy program to extract second and fourth elements of the second and fourth rows from a given (4x4) array. Go to the editor
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]]
Click me to see the sample solution

141. Write a NumPy program to extract all the elements of the first and fourth columns from a given (4x4) array. Go to the editor
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]]
Click me to see the sample solution

142. Write a NumPy program to extract all the elements of the first and fourth columns from a given (4x4) array. Go to the editor
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]]
Click me to see the sample solution

143. Write a NumPy program to extract first element of the second row and fourth element of fourth row from a given (4x4) array. Go to the editor
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]
Click me to see the sample solution

144. Write a NumPy program to extract all the elements of the second and third columns from a given (4x4) array. Go to the editor
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]]

Click me to see the sample solution

145. Write a NumPy program to extract first, third and fifth elements of the third and fifth rows from a given (6x6) array. Go to the editor
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]]
Extracted data: First, third and fifth elements of the third and fifth rows
[[12 14 16]
[24 26 28]]
Click me to see the sample solution

146. Write a NumPy program to add two arrays A and B of sizes (3,3) and (,3). Go to the editor
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.]]
Click me to see the sample solution

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

148. Write a NumPy program to copy data from a given array to another array. Go to the editor
Sample Output:
Original array:
[24 27 30 29 18 14]
Copy of the said array:
[24 27 30 29 18 14]
Click me to see the sample solution

149. Write a NumPy program to find elements within range from a given array of numbers. Go to the editor
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]),)
Click me to see the sample solution

150. Write a NumPy program to swap columns in a given array. Go to the editor
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]]
Click me to see the sample solution

151. Write a NumPy program to get the row numbers in given array where at least one item is larger than a specified value. Go to the editor
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]),)
Click me to see the sample solution

152. Write a NumPy program to calculate the sum of all columns of a 2D numpy array. Go to the editor
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]
Click me to see the sample solution

153. Write a NumPy program to extract upper triangular part of a numpy matrix. Go to the editor
Sample Output:
Original array:
[[ 0 1 2]
[ 3 4 5]
[ 6 7 8]
[ 9 10 11]
[12 13 14]
[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]
Click me to see the sample solution

154. Write a NumPy program to get a copy of a matrix with the elements below the k-th diagonal zeroed. Go to the editor
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]]
Click me to see the sample solution

155. Write a NumPy program to check whether a Numpy array contains a specified row. Go to the editor
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
Click me to see the sample solution

156. Write a NumPy program to calculate averages without NaNs along a given array. Go to the editor
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]
Click me to see the sample solution

157. Write a NumPy program to create a new array which is the average of every consecutive triplet of elements of a given array. Go to the editor
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.]
Click me to see the sample solution

158. Write a NumPy program to calculate average values of two given numpy arrays. Go to the editor
Sample Output:
Original arrays:
[[0, 1], [2, 3]]
[[4, 5], [0, 3]]
Average values of two said numpy arrays:
[[2. 3.]
[1. 3.]]
Click me to see the sample solution

159. Write a NumPy program to rearrange columns of a given numpy 2D array using given index positions. Go to the editor
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]]
Click me to see the sample solution

160. Write a NumPy program to find the k smallest values of a given numpy array. Go to the editor
Sample Output:
Original arrays:
[ 1. 7. 8. 2. 0.1 3. 15. 2.5]
k smallest values:
[0.1 1. 2. 2.5]
Click me to see the sample solution

Python Code Editor:

More to Come !

Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.