python problem of adding txt files at specified lines

Question

1. The data format is very simple. There are four weeks or 28 days of data. There are 144 data every day and a total of 4032, as follows:

11.028366381681027
11.127100875673675
10.892770602791097
8.6224245909897488
8.0099274624457563
8.1184195540896
8.0262697485121513
8.5141785771838925
······

Use Sij to represent the i-th observation value on the j-th day of the week, where j=1,2,3,4,5,6,7; i=1,2,3,…,144;

Now I want to find the value of 4032 Yij
I wrote a somewhat complicated one, but it doesn’t feel right. Please help me, thank you

from __future__ import pision
import matplotlib.pyplot as plt
with open('training_data.txt')as reader,open('weken4-4.txt','w')as writer:
sum1=[0 for x1 in range(0,144)]
sum2=[0 for x2 in range(0,144)]
sum3=[0 for x3 in range(0,144)]
sum4=[0 for x4 in range(0,144)]
data=[0 for y1 in range(0,4032)]

for index,line in enumerate(reader):
    for i in range(0,144):
        if index<1008:
            if (index-i)%144==0:
                sum1[i]=sum1[i]+float(line)
        if 1008<=index<2016:
            if (index-i)%144==0:
                sum2[i]=sum2[i]+float(line)
        if 2016<=index<3024:
            if (index-i)%144==0:
               sum3[i]=sum3[i]+float(line)
        elif 3024<=index<4032:
            if (index-i)%144==0:
                sum4[i]=sum4[i]+float(line)

file = open('training_data.txt','r')
for j in range(0,4032):
line = file.readline()
a= line.split()
if j<1008:

        data[j]=(float(a[0])-(sum1[j%144]/7))/(sum1[j%144]/7)
if 1008<=j<2016:

        data[j]=(float(a[0])-(sum2[j%144]/7))/(sum2[j%144]/7)
if 2016<=j<3024:

        data[j]=(float(a[0])-(sum3[j%144]/7))/(sum3[j%144]/7)
elif 3024<=j<4032:

        data[j]=(float(a[0])-(sum4[j%144]/7))/(sum4[j%144]/7)

Answer 1

Let’s find the average deviation ratio of each point every week! The key is to define the data structure, and everything else will be easy to handle!

from __future__ import pision

# 4*7*144维度的列表
data = [
        [[0]*144 for i in range(7)]
        for _ in range(4)
        ]

# 4*144维度的列表
data_sum = [[0]*144 for i in range(4)]

data_avg = [[0]*144 for i in range(4)]

# 结果

with open('training_data.txt')as reader,open('weken4-4.txt','w')as writer:

    # 初始化数据
    for i in range(4):
        for j in range(7):
            for k in range(144):
                v = float(reader.readline())
                data[i][j][k] = v
                data_sum[i][k] += v

    # 求平均
    for i in range(4):
        for j in range(144):
            data_avg[i][j] = data_sum[i][j] / 144

    # 求结果

    for i in range(4):
        for j in range(7):
            for k in range(144):
                v = (data[i][j][k] - data_sum[i][k]) / data_avg[i][k]
                writer.write('{}\n'.format(v))