Python中的numpy.percentile()
numpy.percentile()函数用于计算给定数据(数组元素)沿指定轴的第 n 个百分位数。
Syntax : numpy.percentile(arr, n, axis=None, out=None)
Parameters :
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.
Return :nth Percentile of the array (a scalar value if axis is none)or array with percentile values along specified axis.
代码#1:工作
Python
# 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))
Python
# 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))
Python
# 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 : [20, 2, 7, 1, 34]
50th percentile of arr : 7.0
25th percentile of arr : 2.0
75th percentile of arr : 20.0
代码#2:
Python
# 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
# 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.]]