title: How to read text file in Python using Pandas
body: <p>I'm new to Pandas and I've been trying to do a scatter plot in Python 2.7, I've the dataset in .txt file something like this (comma separated) </p>
  
  <pre><code>6.1101,17.592
  5.5277,9.1302
  8.5186,13.662
  7.0032,11.854
  5.8598,6.8233
  8.3829,11.886
  7.4764,4.3483
  
  
  
  import pandas as pd
  import matplotlib.pyplot as mplt
  
  # Taking Dataset using Pandas
  
  input_data = pd.read_csv('data.txt');
  #input_data.head(5)
  </code></pre>
  
  <p>How to plot the above data in scatter plot without any headers on the dataset ?</p>
  
  <p>I've seen in tutorials and examples that if the data set has column headings then it's possible to plot the scatter plot. I tried putting x and y as the headers for the two columns of the data set in .txt file and tried the below code.</p>
  
  <pre><code>input_data = pd.read_csv('data.txt');
  #input_data.head(5)
  x_value = input_data[['x']]
  y_value = input_data[['y']]
  
  mplt.scatter(x_value, y_value)
  </code></pre>
  
  <p>But still I'm getting error as shown below </p>
  
  <pre><code>Traceback (most recent call last):
    File "E:\IIT Madras\Research\Experiments\Machine Learning\Linear Regression\Linear_Regression.py", line 16, in &lt;module&gt;
      y_value = input_data[['y']]
    File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 1791, in __getitem__
      return self._getitem_array(key)
    File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 1835, in _getitem_array
      indexer = self.ix._convert_to_indexer(key, axis=1)
    File "C:\Python27\lib\site-packages\pandas\core\indexing.py", line 1112, in _convert_to_indexer
      raise KeyError('%s not in index' % objarr[mask])
  KeyError: "['y'] not in index"
  </code></pre>
  
  <p>Is there a better way to deal with this (with and without header names) ?</p>
  
  <p>EDIT:</p>
  
  <p>The following worked for me after going through Ishan reply</p>
  
  <pre><code>input_data = pd.read_csv('data.txt', header =None);
  x_value = input_data[[0]]
  y_value = input_data[[1]]
  mplt.scatter(x_value, y_value)
  mplt.show()
  </code></pre>