连续求和(Python/Numpy) [英] Sum elements in a row (Python/Numpy)

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问题描述

致力于使我们可以自由支配使用什么项目的项目.所以我决定要为此学习python.

Working on a project that gives us free reign on what to use. So I decided I'd learn python for it.

为简短起见,我想对我正在读取的矩阵的行"中的所有元素求和.

To make this short, I want sum all the elements in a "row" of a matrix I'm reading in.

这是我从文本文件中读取表后的2D数组的样子.

This is what my 2D array looks like after I read in my table from my text file.

['0000' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '1']
['0001' '0' '1' '0' '1' '0' '0' '0' '0' '1' '0' '0' '0' '0' '1']
['0010' '0' '1' '0' '1' '0' '0' '0' '0' '1' '0' '0' '0' '0' '1']
['0011' '0' '1' '0' '1' '0' '0' '0' '0' '1' '0' '0' '0' '0' '1']
['0100' '0' '0' '0' '0' '0' '1' '0' '1' '0' '0' '1' '0' '0' '1']
['0101' '0' '0' '1' '0' '0' '0' '1' '0' '0' '1' '0' '1' '1' '0']
['0110' '0' '0' '1' '0' '1' '0' '0' '0' '0' '1' '0' '1' '1' '0']
['0111' '0' '0' '1' '0' '0' '0' '0' '0' '0' '1' '0' '0' '1' '0']
['1000' '0' '0' '0' '0' '0' '1' '0' '1' '0' '0' '1' '0' '0' '1']
['1001' '1' '0' '0' '0' '0' '0' '1' '0' '0' '1' '0' '1' '1' '0']
['1010' '1' '0' '0' '0' '1' '0' '0' '0' '0' '1' '0' '1' '1' '0']
['1011' '1' '0' '0' '0' '0' '0' '0' '0' '0' '1' '0' '0' '1' '0']
['1100' '0' '0' '0' '0' '0' '1' '0' '1' '0' '0' '1' '0' '0' '1']
['1101' '0' '0' '0' '0' '0' '0' '1' '0' '0' '0' '0' '1' '1' '0']
['1110' '0' '0' '0' '0' '1' '0' '0' '0' '0' '0' '0' '1' '1' '0']
['1111' '0' '0' '0' '0' '0' '0' '0' '0' '0' '1' '0' '1' '1' '0']

我想对每一行的所有元素求和,但不包括索引0(4位数字).然后将这些总和存储在列表中.

I want to sum all elements of each row excluding index 0 (the 4 digit numbers). And then store those sums in a list.

这是我的总和清单应为:

This is what my list of sums should look like:

[1, 4, 4, 4, 4, 4, 5, 5, 3,.......,3] (Imagine it was all filled with the right sums)

但是,这是我的代码输出:

However, this is what my code outputs:

number of rows: 16
number of cols: 15
num1s before: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
num1s after : [3, 3, 3, 3, 3, 3, 3, 3, 3, 7, 3, 7, 9, 7]

我不确定错误是什么,但是我认为这与字符串/整数转换有关.由于我的表是字符串形式的,但我将其转换为整数以求和.对其进行调试可以显示正确的结果,所以我不确定错误在哪里.

I'm not sure what the error is, but I think it has to do with string/int conversion. Since my table is in strings, but I convert it to ints for summing. Debugging it shows the correct results, so I'm not sure where the error is.

这是我的代码:

import numpy

print ("Reading..")
txtfile = open("test1.txt", "r")
print(txtfile.readline())
txtfile.close()

r= numpy.genfromtxt('test1.txt',dtype=str,skiprows=1)

for x in range (0,len(r)):
    print(r[x])

allTested = [0] * (len(r[0]) - 1)
num1s = [0] * (len(r[0]) - 1)

print("number of rows:", len(r))
print("number of cols:", len(r[0]))
print("num1s before:",num1s)

for x in range (0,len(r)):
    for y in range(1,len(r[0])):
        num1s[y-1] += int(r[x][y])


print("num1s after :",num1s)

推荐答案

您过于复杂了

np.sum(array,axis=1).tolist()

这应该返回一个包含所有行之和的列表

this should return a list which contain the sum of all rows

例如:

import numpy as np
array = np.array([range(10),range(10),range(10),range(10)])

sum_ = np.sum(array,axis=1).tolist()

print sum_
print type(sum_) 

>> [45, 45, 45, 45]
>> <type 'list'>

这篇关于连续求和(Python/Numpy)的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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