numpy.percentile()函数用于计算沿指定轴的给定数据(数组元素)的第n个百分点。
用法：numpy.percentile(arr, n, axis=None, out=None)
参数:
arr :input array.
n : percentile value.
axis: axis along which we want to calculate the percentile value. Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column and axis = 1 means working along the row.
out :Different array in which we want to place the result. The array must have same dimensions as expected output.
返回：数组的第n个百分位数(如果轴不存在则为标量值)或沿指定轴具有百分位值的数组。
代码1：工作
# Python Program illustrating
# numpy.percentile() method
import numpy as np
# 1D array
arr = [20, 2, 7, 1, 34]
print("arr:", arr)
print("50th percentile of arr:",
np.percentile(arr, 50))
print("25th percentile of arr:",
np.percentile(arr, 25))
print("75th percentile of arr:",
np.percentile(arr, 75))输出：
arr: [20, 2, 7, 1, 34] 30th percentile of arr: 7.0 25th percentile of arr: 2.0 75th percentile of arr: 20.0
代码2：
# Python Program illustrating
# numpy.percentile() method
import numpy as np
# 2D array
arr = [[14, 17, 12, 33, 44],
[15, 6, 27, 8, 19],
[23, 2, 54, 1, 4,]]
print("\narr:\n", arr)
# Percentile of the flattened array
print("\n50th Percentile of arr, axis = None:",
np.percentile(arr, 50))
print("0th Percentile of arr, axis = None:",
np.percentile(arr, 0))
# Percentile along the axis = 0
print("\n50th Percentile of arr, axis = 0:",
np.percentile(arr, 50, axis =0))
print("0th Percentile of arr, axis = 0:",
np.percentile(arr, 0, axis =0)) 输出：
arr: [[14, 17, 12, 33, 44], [15, 6, 27, 8, 19], [23, 2, 54, 1, 4]] 50th Percentile of arr, axis = None: 15.0 0th Percentile of arr, axis = None: 1.0 50th Percentile of arr, axis = 0: [15. 6. 27. 8. 19.] 0th Percentile of arr, axis = 0: [14. 2. 12. 1. 4.] 50th Percentile of arr, axis = 1: [17. 15. 4.] 0th Percentile of arr, axis = 1: [12. 6. 1.]
代码3：
# Python Program illustrating
# numpy.percentile() method
import numpy as np
# 2D array
arr = [[14, 17, 12, 33, 44],
[15, 6, 27, 8, 19],
[23, 2, 54, 1, 4,]]
print("\narr:\n", arr)
# Percentile along the axis = 1
print("\n50th Percentile of arr, axis = 1:",
np.percentile(arr, 50, axis =1))
print("0th Percentile of arr, axis = 1:",
np.percentile(arr, 0, axis =1))
print("\n0th Percentile of arr, axis = 1:\n",
np.percentile(arr, 50, axis =1, keepdims=True))
print("\n0th Percentile of arr, axis = 1:\n",
np.percentile(arr, 0, axis =1, keepdims=True))输出：
arr: [[14, 17, 12, 33, 44], [15, 6, 27, 8, 19], [23, 2, 54, 1, 4]] 0th Percentile of arr, axis = 1: [[17.] [15.] [ 4.]] 0th Percentile of arr, axis = 1: [[12.] [ 6.] [ 1.]]
相关用法
注：本文由纯净天空筛选整理自Mohit Gupta_OMG 大神的英文原创作品 numpy.percentile() in python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。