# 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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## Python: Tips of the Day

**Finding the most common elements in an iterable:**

Example:

# collections.Counter lets you find the most common # elements in an iterable: import collections c = collections.Counter('helloworld') print(c) print (c.most_common(3))

Output:

Counter({'l': 3, 'o': 2, 'h': 1, 'e': 1, 'w': 1, 'r': 1, 'd': 1}) [('l', 3), ('o', 2), ('h', 1)]

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