python 实现生成均匀分布的点
时间：2022-04-28 09:08:11|栏目：Python代码|点击： 次
如下所示：
import numpy as np print(np.linspace(-100,100,201)
np.linspace()，起始位置，终止位置，中间包括0，一共要201个点
因为-100，100共201个点，包括两边的数据，也就是数学上的闭区间。
结果：
-100. -99. -98. -97. -96. -95. -94. -93. -92. -91. -90. -89. -88. -87. -86. -85. -84. -83. -82. -81. -80. -79. -78. -77. -76. -75. -74. -73. -72. -71. -70. -69. -68. -67. -66. -65. -64. -63. -62. -61. -60. -59. -58. -57. -56. -55. -54. -53. -52. -51. -50. -49. -48. -47. -46. -45. -44. -43. -42. -41. -40. -39. -38. -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. -11. -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 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. 50. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. 61. 62. 63. 64. 65. 66. 67. 68. 69. 70. 71. 72. 73. 74. 75. 76. 77. 78. 79. 80. 81. 82. 83. 84. 85. 86. 87. 88. 89. 90. 91. 92. 93. 94. 95. 96. 97. 98. 99. 100.]
但 如果 你没有计算两个数之间有多少点。
例如下意识的在（-100,100，200）之间取200个点，情况和你想的不一样：
结果：
[-100. -98.99497487 -97.98994975 -96.98492462 -95.9798995 -94.97487437 -93.96984925 -92.96482412 -91.95979899 -90.95477387 -89.94974874 -88.94472362 -87.93969849 -86.93467337 -85.92964824 -84.92462312 -83.91959799 -82.91457286 -81.90954774 -80.90452261 -79.89949749 -78.89447236 -77.88944724 -76.88442211 -75.87939698 -74.87437186 -73.86934673 -72.86432161 -71.85929648 -70.85427136 -69.84924623 -68.84422111 -67.83919598 -66.83417085 -65.82914573 -64.8241206 -63.81909548 -62.81407035 -61.80904523 -60.8040201 -59.79899497 -58.79396985 -57.78894472 -56.7839196 -55.77889447 -54.77386935 -53.76884422 -52.7638191 -51.75879397 -50.75376884 -49.74874372 -48.74371859 -47.73869347 -46.73366834 -45.72864322 -44.72361809 -43.71859296 -42.71356784 -41.70854271 -40.70351759 -39.69849246 -38.69346734 -37.68844221 -36.68341709 -35.67839196 -34.67336683 -33.66834171 -32.66331658 -31.65829146 -30.65326633 -29.64824121 -28.64321608 -27.63819095 -26.63316583 -25.6281407 -24.62311558 -23.61809045 -22.61306533 -21.6080402 -20.60301508 -19.59798995 -18.59296482 -17.5879397 -16.58291457 -15.57788945 -14.57286432 -13.5678392 -12.56281407 -11.55778894 -10.55276382 -9.54773869 -8.54271357 -7.53768844 -6.53266332 -5.52763819 -4.52261307 -3.51758794 -2.51256281 -1.50753769 -0.50251256 0.50251256 1.50753769 2.51256281 3.51758794 4.52261307 5.52763819 6.53266332 7.53768844 8.54271357 9.54773869 10.55276382 11.55778894 12.56281407 13.5678392 14.57286432 15.57788945 16.58291457 17.5879397 18.59296482 19.59798995 20.60301508 21.6080402 22.61306533 23.61809045 24.62311558 25.6281407 26.63316583 27.63819095 28.64321608 29.64824121 30.65326633 31.65829146 32.66331658 33.66834171 34.67336683 35.67839196 36.68341709 37.68844221 38.69346734 39.69849246 40.70351759 41.70854271 42.71356784 43.71859296 44.72361809 45.72864322 46.73366834 47.73869347 48.74371859 49.74874372 50.75376884 51.75879397 52.7638191 53.76884422 54.77386935 55.77889447 56.7839196 57.78894472 58.79396985 59.79899497 60.8040201 61.80904523 62.81407035 63.81909548 64.8241206 65.82914573 66.83417085 67.83919598 68.84422111 69.84924623 70.85427136 71.85929648 72.86432161 73.86934673 74.87437186 75.87939698 76.88442211 77.88944724 78.89447236 79.89949749 80.90452261 81.90954774 82.91457286 83.91959799 84.92462312 85.92964824 86.93467337 87.93969849 88.94472362 89.94974874 90.95477387 91.95979899 92.96482412 93.96984925 94.97487437 95.9798995 96.98492462 97.98994975 98.99497487 100. ]
所以，在使用这个函数时，要仔细考虑两端的数据，还有你需要多少点。
