NumPy Basic: Exercises, Practice, Solution
NumPy Basic [59 exercises with solution]
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1.Write a NumPy program to get the numpy version and show numpy build configuration. Go to the editor
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2. Write a NumPy program to get help on the add function. Go to the editor
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3. Write a NumPy program to test whether none of the elements of a given array is zero. Go to the editor
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4. Write a NumPy program to test whether any of the elements of a given array is non-zero. Go to the editor
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5. Write a NumPy program to test a given array element-wise for finiteness (not infinity or not a Number). Go to the editor
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6. Write a NumPy program to test element-wise for positive or negative infinity. Go to the editor
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7. Write a NumPy program to test element-wise for NaN of a given array. Go to the editor
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8. Write a NumPy program to test element-wise for complex number, real number of a given array. Also test whether a given number is a scalar type or not. Go to the editor
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9. Write a NumPy program to test whether two arrays are element-wise equal within a tolerance. Go to the editor
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10. Write a NumPy program to create an element-wise comparison (greater, greater_equal, less and less_equal) of two given arrays. Go to the editor
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11. Write a NumPy program to create an element-wise comparison (equal, equal within a tolerance) of two given arrays. Go to the editor
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12. Write a NumPy program to create an array with the values 1, 7, 13, 105 and determine the size of the memory occupied by the array. Go to the editor
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13. Write a NumPy program to create an array of 10 zeros,10 ones, 10 fives. Go to the editor
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14. Write a NumPy program to create an array of the integers from 30 to70. Go to the editor
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15. Write a NumPy program to create an array of all the even integers from 30 to 70. Go to the editor
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16. Write a NumPy program to create a 3x3 identity matrix. Go to the editor
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17. Write a NumPy program to generate a random number between 0 and 1. Go to the editor
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18. Write a NumPy program to generate an array of 15 random numbers from a standard normal distribution. Go to the editor
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19. Write a NumPy program to create a vector with values ranging from 15 to 55 and print all values except the first and last. Go to the editor
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20. Write a NumPy program to create a 3X4 array using and iterate over it. Go to the editor
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21. Write a NumPy program to create a vector of length 10 with values evenly distributed between 5 and 50. Go to the editor
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22. Write a NumPy program to create a vector with values from 0 to 20 and change the sign of the numbers in the range from 9 to 15. Go to the editor
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23. Write a NumPy program to create a vector of length 5 filled with arbitrary integers from 0 to 10. Go to the editor
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24. Write a NumPy program to multiply the values of two given vectors. Go to the editor
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25. Write a NumPy program to create a 3x4 matrix filled with values from 10 to 21. Go to the editor
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26. Write a NumPy program to find the number of rows and columns of a given matrix. Go to the editor
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27. Write a NumPy program to create a 3x3 identity matrix, i.e. diagonal elements are 1, the rest are 0. Go to the editor
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28. Write a NumPy program to create a 10x10 matrix, in which the elements on the borders will be equal to 1, and inside 0. Go to the editor
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29. Write a NumPy program to create a 5x5 zero matrix with elements on the main diagonal equal to 1, 2, 3, 4, 5. Go to the editor
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30. Write a NumPy program to create a 4x4 matrix in which 0 and 1 are staggered, with zeros on the main diagonal. Go to the editor
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31. Write a NumPy program to create a 3x3x3 array filled with arbitrary values. Go to the editor
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32. Write a NumPy program to compute sum of all elements, sum of each column and sum of each row of a given array. Go to the editor
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33. Write a NumPy program to compute the inner product of two given vectors. Go to the editor
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34. Write a NumPy program to add a vector to each row of a given matrix. Go to the editor
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35. Write a NumPy program to save a given array to a binary file . Go to the editor
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36. Write a NumPy program to save two given arrays into a single file in compressed format (.npz format) and load it. Go to the editor
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37. Write a NumPy program to save a given array to a text file and load it. Go to the editor
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38. Write a NumPy program to convert a given array into bytes, and load it as array. Go to the editor
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39. Write a NumPy program to convert a given list into an array, then again convert it into a list. Check initial list and final list are equal or not. Go to the editor
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40. Write a NumPy program to compute the x and y coordinates for points on a sine curve and plot the points using matplotlib. Go to the editor
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41. Write a NumPy program to convert numpy dtypes to native python types. Go to the editor
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42. Write a NumPy program to add elements in a matrix. If an element in the matrix is 0, we will not add the element below this element. Go to the editor
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43. Write a NumPy program to find the missing data in a given array. Go to the editor
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44. Write a NumPy program to check whether two arrays are equal (element wise) or not. Go to the editor
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45. Write a NumPy program to create one-dimensional array of single, two and three digit numbers. Go to the editor
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46. Write a NumPy program to create a two-dimensional array of specified format. Go to the editor
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47. 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. Go to the editor
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48. Write a NumPy program to create a two-dimensional array with shape (8,5) of random numbers. Select random numbers from a normal distribution (200,7). Go to the editor
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49. Write a NumPy program to generate a uniform, non-uniform random sample from a given 1-D array with and without replacement. Go to the editor
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50. Write a NumPy program to create a 4x4 array with random values, now create a new array from the said array swapping first and last rows. Go to the editor
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51. Write a NumPy program to create a new array of given shape (5,6) and type, filled with zeros. Go to the editor
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52. Write a NumPy program to sort a given array by row and column in ascending order. Go to the editor
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53. Write a NumPy program to extract all numbers from a given array which are less and greater than a specified number. Go to the editor
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54. Write a NumPy program to replace all numbers in a given array which is equal, less and greater to a given number. Go to the editor
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55. Write a NumPy program to create an array of equal shape and data type of a given array. Go to the editor
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56. Write a NumPy program to create a three-dimension array with shape (3,5,4) and set to a variable. Go to the editor
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57. Write a NumPy program to create a 4x4 array, now create a new array from the said array swapping first and last, second and third columns. Go to the editor
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58. Write a NumPy program to swap rows and columns of a given array in reverse order. Go to the editor
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59. Write a NumPy program to multiply two given arrays of same size element-by-element. Go to the editor
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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")
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