title: Python - Using Pandas to eliminated curly brackets and output floats
body: <p>Having this large csv data set, that essentially has x and y values in each column.</p>
  
  <pre><code>"{733.15, 179.5}",
  "{565.5, 642.5}",
  "{172.5, 375.5}",
  "{223.5, 554.5}",....
  
  ...., 
  "{213.5, 666.5}",
  "{851.5, 323.5}",
  "{498.5, 638.5}",
  "{763.5, 102.5}"
  </code></pre>
  
  <p>or by a table,</p>
  
  <p><a href="https://i.stack.imgur.com/b0rsh.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/b0rsh.png" alt="enter image description here"></a></p>
  
  <p>A column is essentially this set and I can call each pair by indexing.</p>
  
  <pre><code>import numpy as np
  import pandas as pd
  import csv
  
  brown = pd.read_csv('BrownM.csv',delimiter=',', header=None)
  
  print brown[0]
  </code></pre>
  
  <p>this essentially calls the row above</p>
  
  <pre><code>print brown[0][0]
  </code></pre>
  
  <p>returns <code>{733.15, 179.5}</code></p>
  
  <p>but when wanting to select a value in this set,</p>
  
  <pre><code>   print brown[0][0][1]
  </code></pre>
  
  <p>returns <code>7</code></p>
  
  <p>It's treating this data set as a string, when I want it to return floats when called upon. </p>
  
  <p>Also, is their a way to pass the file to where the curly brackets are eliminated? </p>