Python NumPy 100题！

整理 | Jane

出品 | Python大本营

NumPy（Numerical Python）是 Python 语言的一个扩展程序库。支持大量的数组与矩阵运算，还提供了大量的数学函数库，是使用 Python 进行科学计算的基础包。

此外，NumPy 还包含：（1）一个强大的 N 维数组对象；（2）复杂的函数；（3）用于整合 C、C++、Fortran 代码的工具；（4）可实现线性代数、傅里叶变化、随机数生成等功能。

NumPy 经常还与 SciPy（Scientific Python）和 Matplotlib（绘图库）一起使用，都是要掌握的必备技能。今天就先从 NumPy 学起。

查看官网介绍，或下载安装，可访问：

所有题目的难度划分易、中、难，三个级别：

1-33 题，难度：易

34-63 题，难度：中

64-100 题，难度：

下面正式上题：

1. Import the numpy package under the name np

2. Print the numpy version and the configuration

3. Create a null vector of size 10

4. How to find the memory size of any array

5. How to get the documentation of the numpy add function from the command line?

6. Create a null vector of size 10 but the fifth value which is 1

7. Create a vector with values ranging from 10 to 49

8. Reverse a vector (first element becomes last)

9. Create a 3x3 matrix with values ranging from 0 to 8

10. Find indices of non-zero elements from [1,2,0,0,4,0]

11. Create a 3x3 identity matrix

12. Create a 3x3x3 array with random values

13. Create a 10x10 array with random values and find the minimum and maximum values

14. Create a random vector of size 30 and find the mean value

15. Create a 2d array with 1 on the border and 0 inside

16. How to add a border (filled with 0's) around an existing array?

17. What is the result of the following expression?

18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal

19. Create a 8x8 matrix and fill it with a checkerboard pattern

20. Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element?

21. Create a checkerboard 8x8 matrix using the tile function

22. Normalize a 5x5 random matrix

23. Create a custom dtype that describes a color as four unsigned bytes (RGBA)

24. Multiply a 5x3 matrix by a 3x2 matrix (real matrix product)

25. Given a 1D array, negate all elements which are between 3 and 8, in place.

26. What is the output of the following script?

27. Consider an integer vector Z, which of these expressions are legal?

28. What are the result of the following expressions?

29. How to round away from zero a float array ?

30. How to find common values between two arrays?

31. How to ignore all numpy warnings (not recommended)?

32. Is the following expressions true?

33. How to get the dates of yesterday, today and tomorrow?

34. How to get all the dates corresponding to the month of July 2016?

35. How to compute ((A+B)*(-A/2)) in place (without copy)?

36. Extract the integer part of a random array using 5 different methods

37. Create a 5x5 matrix with row values ranging from 0 to 4

38. Consider a generator function that generates 10 integers and use it to build an array

39. Create a vector of size 10 with values ranging from 0 to 1, both excluded

40. Create a random vector of size 10 and sort it

41. How to sum a small array faster than np.sum?

42. Consider two random array A and B, check if they are equal

43. Make an array immutable (read-only)

44. Consider a random 10x2 matrix representing cartesian coordinates, convert them to polar coordinates

45. Create random vector of size 10 and replace the maximum value by 0

46. Create a structured array with x and y coordinates covering the [0,1]x[0,1] area

47. Given two arrays, X and Y, construct the Cauchy matrix C (Cij =1/(xi - yj))

48. Print the minimum and maximum representable value for each numpy scalar type

49. How to print all the values of an array?

50. How to find the closest value (to a given scalar) in a vector?

51. Create a structured array representing a position (x,y) and a color (r,g,b)

52. Consider a random vector with shape (100,2) representing coordinates, find point by point distances

53. How to convert a float (32 bits) array into an integer (32 bits) in place?

54. How to read the following file?

55. What is the equivalent of enumerate for numpy arrays?

56. Generate a generic 2D Gaussian-like array

57. How to randomly place p elements in a 2D array?

58. Subtract the mean of each row of a matrix

59. How to I sort an array by the nth column?

60. How to tell if a given 2D array has null columns?

61. Find the nearest value from a given value in an array

62. Considering two arrays with shape (1,3) and (3,1), how to compute their sum using an iterator?

63. Create an array class that has a name attribute

64. Consider a given vector, how to add 1 to each element indexed by a second vector (be careful with repeated indices)?

65. How to accumulate elements of a vector (X) to an array (F) based on an index list (I)?

66. Considering a (w,h,3) image of (dtype=ubyte), compute the number of unique colors

67. Considering a four dimensions array, how to get sum over the last two axis at once?

68. Considering a one-dimensional vector D, how to compute means of subsets of D using a vector S of same size describing subset indices?

69. How to get the diagonal of a dot product?

70. Consider the vector [1, 2, 3, 4, 5], how to build a new vector with 3 consecutive zeros interleaved between each value?

71. Consider an array of dimension (5,5,3), how to mulitply it by an array with dimensions (5,5)?

72. How to swap two rows of an array?

73. Consider a set of 10 triplets describing 10 triangles (with shared vertices), find the set of unique line segments composing all the triangles

74. Given an array C that is a bincount, how to produce an array A such that np.bincount(A) == C?

75. How to compute averages using a sliding window over an array?

76. Consider a one-dimensional array Z, build a two-dimensional array whose first row is (Z[0],Z[1],Z[2]) and each subsequent row is shifted by 1 (last row should be (Z[-3],Z[-2],Z[-1])

77. How to negate a boolean, or to change the sign of a float inplace?

78. Consider 2 sets of points P0,P1 describing lines (2d) and a point p, how to compute distance from p to each line i (P0[i],P1[i])?

79. Consider 2 sets of points P0,P1 describing lines (2d) and a set of points P, how to compute distance from each point j (P[j]) to each line i (P0[i],P1[i])?

80. Consider an arbitrary array, write a function that extract a subpart with a fixed shape and centered on a given element (pad with a fill value when necessary)

81. Consider an array Z = [1,2,3,4,5,6,7,8,9,10,11,12,13,14], how to generate an array R = [[1,2,3,4], [2,3,4,5], [3,4,5,6], ..., [11,12,13,14]]?

82. Compute a matrix rank

83. How to find the most frequent value in an array?

84. Extract all the contiguous 3x3 blocks from a random 10x10 matrix

85. Create a 2D array subclass such that Z[i,j] == Z[j,i]

86. Consider a set of p matrices wich shape (n,n) and a set of p vectors with shape (n,1). How to compute the sum of of the p matrix products at once? (result has shape (n,1))

87. Consider a 16x16 array, how to get the block-sum (block size is 4x4)?

88. How to implement the Game of Life using numpy arrays?

89. How to get the n largest values of an array

90. Given an arbitrary number of vectors, build the cartesian product (every combinations of every item)

91. How to create a record array from a regular array?

92. Consider a large vector Z, compute Z to the power of 3 using 3 different methods

93. Consider two arrays A and B of shape (8,3) and (2,2). How to find rows of A that contain elements of each row of B regardless of the order of the elements in B?

94. Considering a 10x3 matrix, extract rows with unequal values (e.g. [2,2,3])

95. Convert a vector of ints into a matrix binary representation

96. Given a two dimensional array, how to extract unique rows?

97. Considering 2 vectors A & B, write the einsum equivalent of inner, outer, sum, and mul function

98. Considering a path described by two vectors (X,Y), how to sample it using equidistant samples ?

99. Given an integer n and a 2D array X, select from X the rows which can be interpreted as draws from a multinomial distribution with n degrees, i.e., the rows which only contain integers and which sum to n.

100. Compute bootstrapped 95% confidence intervals for the mean of a 1D array X (i.e., resample the elements of an array with replacement N times, compute the mean of each sample, and then compute percentiles over the means).

Github 地址：

作者 | Nicolas P. Rougier

https://github.com/rougier/numpy-100/blob/master/100_Numpy_exercises.md

（*本文为 AI科技大本营转载文章，转载请联系作者）

推荐