Python中的 numpy.median()
numpy.median(arr, axis = None)
:计算给定数据(数组元素)沿指定轴的中位数。
如何计算中位数?
- 给定数据点。
- 按升序排列它们
- 中位数 = 中期,如果总数没有。的条款是奇怪的。
- 中位数 = 中间项的平均值(如果总项数是偶数)
Parameters :
arr : [array_like]input array.
axis : [int or tuples of int]axis along which we want to calculate the median. 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 : [ndarray, optional] Different array in which we want to place the result. The array must have the same dimensions as expected output.
dtype : [data-type, optional]Type we desire while computing median.
Results : Median of the array (a scalar value if axis is none) or array with median values along specified axis.
代码#1:
# Python Program illustrating
# numpy.median() method
import numpy as np
# 1D array
arr = [20, 2, 7, 1, 34]
print("arr : ", arr)
print("median of arr : ", np.median(arr))
输出 :
arr : [20, 2, 7, 1, 34]
median of arr : 7.0
代码#2:
# Python Program illustrating
# numpy.median() method
import numpy as np
# 2D array
arr = [[14, 17, 12, 33, 44],
[15, 6, 27, 8, 19],
[23, 2, 54, 1, 4, ]]
# median of the flattened array
print("\nmedian of arr, axis = None : ", np.median(arr))
# median along the axis = 0
print("\nmedian of arr, axis = 0 : ", np.median(arr, axis = 0))
# median along the axis = 1
print("\nmedian of arr, axis = 1 : ", np.median(arr, axis = 1))
out_arr = np.arange(3)
print("\nout_arr : ", out_arr)
print("median of arr, axis = 1 : ",
np.median(arr, axis = 1, out = out_arr))
输出 :
median of arr, axis = None : 15.0
median of arr, axis = 0 : [15. 6. 27. 8. 19.]
median of arr, axis = 1 : [17. 15. 4.]
out_arr : [0 1 2]
median of arr, axis = 1 : [17 15 4]