为什么我在 python 中计算后得到重复?
Why I am getting repetitions after calculation in python?
我正在执行一些简单的语句,我希望得到一个数组作为结果。但是,结果我得到了 6 行。
from itertools import combinations
import numpy as np
res = [
np.array([[12.99632095], [29.60571445], [-1.85595153],
[68.78926787], [ 2.75185088], [ 2.75204384]]),
np.array([[ 15.66458062], [ 22.16467595], [ -3.75927882],
[ -2.65954113], [ 2.30128711], [197.45459974]])
]
pairs = combinations(res, 2)
for pair in pairs:
r = np.concatenate(pair, axis=1)
r1 = pair[0]
r2 = pair[1]
sign = np.sign(r1 * r2)
result = np.multiply(
sign,
np.min(np.abs(r), axis=1) / np.max(np.abs(r), axis=1)
)
r
的值是这样的
[[ 12.99632095 15.66458062]
[ 29.60571445 22.16467595]
[ -1.85595153 -3.75927882]
[ 68.78926787 -2.65954113]
[ 2.75185088 2.30128711]
[ 2.75204384 197.45459974]]
我得到的result
是这样的
[[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]
[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]
[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]
[-0.82966287 -0.74866209 -0.49369882 -0.03866215 -0.83626883 -0.0139376 ]
[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]
[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]]
我的预期 result
只是现有结果的一行。
[[ 0.82966287 0.74866209 0.49369882 -0.03866215 0.83626883 0.0139376 ]]
为什么我得到重复并且 -
结果出现在现有结果输出的第 4 行?
您正在做 combinations
。因此,如果您有更多组合,您还需要 append
结果。
results = []
for pair in pairs:
r = np.concatenate(pair, axis=1)
for i in range(len(r)):
r1 = r[:, 0]
r2 = r[:, 1]
sign = np.sign(r1 * r2)
result = np.multiply(sign, np.min(np.abs(r), axis=1) / np.max(np.abs(r), axis=1))
results.append(result)
你一次又一次地砍掉了整个组合。只需要改变r1
、r2
的值,再循环一次
我正在执行一些简单的语句,我希望得到一个数组作为结果。但是,结果我得到了 6 行。
from itertools import combinations
import numpy as np
res = [
np.array([[12.99632095], [29.60571445], [-1.85595153],
[68.78926787], [ 2.75185088], [ 2.75204384]]),
np.array([[ 15.66458062], [ 22.16467595], [ -3.75927882],
[ -2.65954113], [ 2.30128711], [197.45459974]])
]
pairs = combinations(res, 2)
for pair in pairs:
r = np.concatenate(pair, axis=1)
r1 = pair[0]
r2 = pair[1]
sign = np.sign(r1 * r2)
result = np.multiply(
sign,
np.min(np.abs(r), axis=1) / np.max(np.abs(r), axis=1)
)
r
的值是这样的
[[ 12.99632095 15.66458062]
[ 29.60571445 22.16467595]
[ -1.85595153 -3.75927882]
[ 68.78926787 -2.65954113]
[ 2.75185088 2.30128711]
[ 2.75204384 197.45459974]]
我得到的result
是这样的
[[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]
[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]
[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]
[-0.82966287 -0.74866209 -0.49369882 -0.03866215 -0.83626883 -0.0139376 ]
[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]
[ 0.82966287 0.74866209 0.49369882 0.03866215 0.83626883 0.0139376 ]]
我的预期 result
只是现有结果的一行。
[[ 0.82966287 0.74866209 0.49369882 -0.03866215 0.83626883 0.0139376 ]]
为什么我得到重复并且 -
结果出现在现有结果输出的第 4 行?
您正在做 combinations
。因此,如果您有更多组合,您还需要 append
结果。
results = []
for pair in pairs:
r = np.concatenate(pair, axis=1)
for i in range(len(r)):
r1 = r[:, 0]
r2 = r[:, 1]
sign = np.sign(r1 * r2)
result = np.multiply(sign, np.min(np.abs(r), axis=1) / np.max(np.abs(r), axis=1))
results.append(result)
你一次又一次地砍掉了整个组合。只需要改变r1
、r2
的值,再循环一次