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这是python中数据分析必备模块——numpy的100道练习题，原文地址为：numpy100
numpy练习题
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- 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 of positive numbers using 4 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 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). (★★★)
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1. Import the numpy package under the name np (★☆☆)
hint: import … as
import numpy as np
2. Print the numpy version and the configuration (★☆☆)
hint: np.__version__, np.show_config)
print(np.__version__)
np.show_config
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