blocks|key|4146663|text|我建议你改变.txt格式，并转换为.ini文件或.csv。不管怎样，你可以用字典。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4146664|dict+=+{}
file+=+open("file.txt")
text+=+file.readline()
i=0
for+i+in+range+(text.lenght):
+++if+text[i][0:5]=="time":
++++++dict[text[i]]+=+[]
++++++dict[text[i]].append(text[i%2B2])
++++++dict[text[i]].append(text[i%2B4])|code-block|syntax|javascript|4146665|该代码可能适用于您的文件，但如果您更改了格式，您将更容易在字典中存储数据。我希望我能帮上忙。|4146666|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

I advice you to change .txt format and convert in .ini file or .csv.
Anyway, you could use a dictionary.

<pre><code>dict = {}
file = open("file.txt")
text = file.readline()
i=0
for i in range (text.lenght):
 if text[i][0:5]=="time":
 dict[text[i]] = []
 dict[text[i]].append(text[i+2])
 dict[text[i]].append(text[i+4])
</code></pre>

That code might work for your file, but if you change the format will be easier for you to store data in the dict.
I hope I was helpful.

blocks|key|4146313|text|要获得所需格式的数据，可以将相关部分添加到字典中，然后将其转换为dataframe：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4146314|import+ast
import+pandas+as+pd

with+open('text.txt','r',+encoding='utf-8')+as+f:
++++lines+=+f.readlines()
++++d+=+{"time":[],
+++++++++"val1":[],
+++++++++"val2":[]}

++++for+i,+line+in+enumerate(lines):
++++++++if+line[:5]+==+"time:":
++++++++++++time+=+line.strip().split()[-1]

++++++++++++#Reading+string+representations+of+lists+as+lists
++++++++++++v1+=+ast.literal_eval(lines[i%2B2].strip())
++++++++++++v2+=+ast.literal_eval(lines[i%2B4].strip())

++++++++++++#Counting+number+of+vals+per+date
++++++++++++n1+=+len(v1)
++++++++++++n2+=+len(v2)

++++++++++++#Padding+values+if+any+are+missing
++++++++++++if+n1+>+n2:
++++++++++++++++v2+%2B=+[None]+*+n1-n2
++++++++++++elif+n2+>+n1:
++++++++++++++++v1+%2B=+[None]+*+n2-n1

++++++++++++d["time"].extend([time]+*+max(n1,n2))
++++++++++++d["val1"].extend(v1)
++++++++++++d["val2"].extend(v2)

df+=+pd.DataFrame(d)|code-block|syntax|javascript|4146315|​|4146316|print(df)

++++++++++++time++val1++++val2
0+++201510010000+++1.1++++1.00
1+++201510010000+++1.2++++1.01
2+++201510010000+++1.3++++1.02
3+++201510010100+++2.1++++2.01
4+++201510010100+++2.2++++2.02
5+++201510010100+++2.3++++2.03
6+++++2015020000+++3.0++++3.01
7+++++2015020000+++3.1++++3.02
8+++++2015020000+++3.2++++3.03
9+++++2015020100+++4.0++401.00
10++++2015020100+++4.1++++4.02
11++++2015020100+++4.2++++4.03|4146317|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

To get the data in the format you want, you could add the relevant parts to a dictionary and then convert it to a dataframe:

<pre><code>import ast
import pandas as pd

with open('text.txt','r', encoding='utf-8') as f:
 lines = f.readlines()
 d = {"time":[],
 "val1":[],
 "val2":[]}

 for i, line in enumerate(lines):
 if line[:5] == "time:":
 time = line.strip().split()[-1]

 #Reading string representations of lists as lists
 v1 = ast.literal_eval(lines[i+2].strip())
 v2 = ast.literal_eval(lines[i+4].strip())

 #Counting number of vals per date
 n1 = len(v1)
 n2 = len(v2)

 #Padding values if any are missing
 if n1 &gt; n2:
 v2 += [None] * n1-n2
 elif n2 &gt; n1:
 v1 += [None] * n2-n1

 d["time"].extend([time] * max(n1,n2))
 d["val1"].extend(v1)
 d["val2"].extend(v2)

df = pd.DataFrame(d)
</code></pre>



<pre><code>print(df)

 time val1 val2
0 201510010000 1.1 1.00
1 201510010000 1.2 1.01
2 201510010000 1.3 1.02
3 201510010100 2.1 2.01
4 201510010100 2.2 2.02
5 201510010100 2.3 2.03
6 2015020000 3.0 3.01
7 2015020000 3.1 3.02
8 2015020000 3.2 3.03
9 2015020100 4.0 401.00
10 2015020100 4.1 4.02
11 2015020100 4.2 4.03
</code></pre>

blocks|key|4146742|text|我正在学习python，这是我想出来的:)如果有人阅读了解决方案并发现了错误，请指出。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4146743|time+=+""
val1+=+[]
val2+=+[]
final_list+=+[]
process_val1+=+False
process_val2+=+False
with+open('read.txt','r',encoding='utf-8')+as+f:
++++lines+=+f.readlines()
++++for+line+in+lines:
++++++++try:
++++++++++++line+=+line.strip()
++++++++++++if+val1+and+val2+and+time+!=+'':
++++++++++++++++for+v1,+v2+in+zip(val1,+val2):
++++++++++++++++++++final_list.append([time,+v1,+v2])
++++++++++++++++val1+=+[]
++++++++++++++++val2+=+[]
++++++++++++++++time+=+''
++++++++++++++++continue
++++++++++++if+process_val1+==+True:
++++++++++++++++val1+=+line.split('[')[1].split(']')[0].split(',')
++++++++++++++++process_val1+=+False
++++++++++++++++continue
++++++++++++if+process_val2+==+True:
++++++++++++++++val2+=+line.split('[')[1].split(']')[0].split(',')
++++++++++++++++process_val2+=+False
++++++++++++++++continue
++++++++++++if+'time:'+in+line:
++++++++++++++++time+=+line.split(":+")[1]
++++++++++++++++continue
++++++++++++elif+'val1'+in+line:
++++++++++++++++process_val1+=+True
++++++++++++++++continue
++++++++++++elif+'val2'+in+line:
++++++++++++++++process_val2+=+True
++++++++++++++++continue
++++++++++++elif+'va2'+in+line:
++++++++++++++++process_val2+=+True
++++++++++++++++continue
++++++++++++else:
++++++++++++++++continue
++++++++except:
++++++++++++#handle+exception+here
++++++++++++pass
++++if+final_list:
++++++++with+open('write.txt',+'w')+as+w:
++++++++++++for+list+in+final_list:
++++++++++++++++w.write(",+".join(list)+%2B+'\n')|code-block|syntax|javascript|4146744|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

I am learning python and this is what I came up with :)
Someone who reads the solution and finds mistakes, please be kind to point out.

<pre><code>time = ""
val1 = []
val2 = []
final_list = []
process_val1 = False
process_val2 = False
with open('read.txt','r',encoding='utf-8') as f:
 lines = f.readlines()
 for line in lines:
 try:
 line = line.strip()
 if val1 and val2 and time != '':
 for v1, v2 in zip(val1, val2):
 final_list.append([time, v1, v2])
 val1 = []
 val2 = []
 time = ''
 continue
 if process_val1 == True:
 val1 = line.split('[')[1].split(']')[0].split(',')
 process_val1 = False
 continue
 if process_val2 == True:
 val2 = line.split('[')[1].split(']')[0].split(',')
 process_val2 = False
 continue
 if 'time:' in line:
 time = line.split(": ")[1]
 continue
 elif 'val1' in line:
 process_val1 = True
 continue
 elif 'val2' in line:
 process_val2 = True
 continue
 elif 'va2' in line:
 process_val2 = True
 continue
 else:
 continue
 except:
 #handle exception here
 pass
 if final_list:
 with open('write.txt', 'w') as w:
 for list in final_list:
 w.write(", ".join(list) + '\n')
</code></pre>

I have a .txt file like this:

<pre><code># 经纬度
x1 = 11.21 
x2 = 11.51

y1 = 27.84 
y2 = 10.08

time: 201510010000 
变量名: val1 
[1.1,1.2,1.3] 
变量名: va2 
[1.0,1.01,1.02] 

time: 201510010100 
变量名: val1 
[2.1,2.2,2.3] 
变量名: va2 
[2.01,2.02,2.03]

time: 2015020000 
变量名: val1 
[3.0,3.1,3.2] 
变量名: val2 
[3.01,3.02,3.03]

time: 2015020100 
变量名: val1 
[4.0,4.1,4.2] 
变量名: val2 
[401,4.02,4.03]
</code></pre>

and, I hope to read it using python like this:

<a href="https://i.stack.imgur.com/q5DAT.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/q5DAT.jpg" alt="enter image description here"></a>

<pre><code>with open('text.txt','r',encoding='utf-8') as f:
 lines = f.readlines()
 for line in lines:
 print(line,)
</code></pre>

This is what I have done, but I have no idea about the next step.

How can I reach it?

Read .txt data using python

我有一个这样的.txt文件：# 经纬度x1 = 11.21  x2 = 11.51y1 = 27.84  y2 = 10.08time: 201510010000  变量名: val1  [1.1,1.2,1.3]  变量名: va2    [1.0,1.01,1.02]  time: 201510010100  变量...

问使用python读取.txt数据
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