我需要读入一个带有数据的文本文件到Python中，并将数据分配给变量 [英] I need to read in a text file with data into python and assign the data the variables

问题描述

文件中的数据如下所示;两列需要表示X和Y值。第一个值是X值，第二个值是Y值。

  42.10 8.55 
 40.25 7.60 
 38.50 8.95 
 39.55 6.45 
 40.90 7.75 
  

我需要阅读它变成了python，并将变量分配给每行中的每个值：
例如（42.10,8.55）其中42.10是x值，8.55是y值。有几种价值观需要这种组织。我可以打开文件并读取它，但是我无法获得我想要的变量赋值。

到目前为止我有

  with open（file.txt ，r）as myfile：
 data = myfile.read（）。split（）
  

  with open（'file.txt'）as f ：
 data = [line.split（）for line in f.readlines（）] 
 out = [（float（x），float（y））for x，y in data] 
为我进出：
 print i 
  

我想创建散点图在for循环中的数据，你会推荐哪个模块？

解决方案

data 和 out 在这里用列表理解：

  with open（'text.txt'）as f：
 data = [line 
 out = [（float（k），float（v））for k，v in data] 
  <.flit（） / pre> 
 
 
 输出： 
  for i in out：
 print i 
 
（42.1,8.55）$ （40.25,7.6）
（38.5,8.95）
（39.55,6.45）
（40.9,7.75）
  
如果您愿意，可以将这些分配给变量，或者可以使用 out [0] 等引用它们。 / b> 
 
 
如何命名它们取决于您拥有的数量，不过这里有一个例子：
 
 
 >>> first_tuple = out [0] 
>>> print first_tuple 
（42.1,8.55）
  
 
The data in the file looks like this; two columns that need to represent X and Y values. The first value in the will be X values and second value will be Y values.
   42.10      8.55
   40.25      7.60
   38.50      8.95
   39.55      6.45
   40.90      7.75
I need to read it into python and assign variables to each set of values in each line:
for example, (42.10,8.55) where 42.10 is the x value and 8.55 is the y value. There are several lines of values that need this kind of organization. I can open the file and read it in however I can't get the variable assignments I want. 

so far I have 
with open ("file.txt", "r") as myfile:
    data=myfile.read().split()
Ok, so now here's where I'm at now:
with open('file.txt') as f:
    data = [line.split() for line in f.readlines()]
    out = [(float(x), float(y)) for x, y in data]
for i in out:
   print i
I want to create a scatter plot of the data in the for Loop, which module would you recommend?
解决方案
data and out are constructed here with list comprehensions:
with open('text.txt') as f:
    data = [line.split() for line in f.readlines()]
    out = [(float(k), float(v)) for k, v in data]
output:
for i in out:
    print i

(42.1, 8.55)
(40.25, 7.6)
(38.5, 8.95)
(39.55, 6.45)
(40.9, 7.75)
You can assign these to variables if you want, or you could reference them with out[0] etc.

How you go about naming them all depends on how many you have, but here is an example anyhow:
>>> first_tuple = out[0] 
>>> print first_tuple
(42.1, 8.55)


                        
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