title: Generating smooth line graph using matplotlib
body: <p>Following is the python script to generate a plot using matplotlib. </p>
  
  <pre><code>#!/usr/bin/python
  
  import matplotlib.pyplot as plt
  import time
  import numpy as np
  from scipy.interpolate import spline
  
  # Local variables
  x = []
  y = []
  
  # Open the data file for reading lines
  datafile = open('testdata1.txt', 'r')
  sepfile = datafile.read().split('\n')
  datafile.close()
  
  # Create a canvas to place the subgraphs
  canvas = plt.figure()
  rect = canvas.patch
  rect.set_facecolor('white')
  
  # Iterate through the lines and parse them
  for datapair in sepfile:
      if datapair:
          xypair = datapair.split(' ')
          x.append(int(xypair[1]))
          y.append(int(xypair[3]))
  
  # Define the matrix of 1x1 to place subplots
  # Placing the plot1 on 1x1 matrix, at pos 1
  sp1 = canvas.add_subplot(1,1,1, axisbg='w')
  sp1.plot(x, y, 'red', linewidth=2)
  
  # Colorcode the tick tabs 
  sp1.tick_params(axis='x', colors='red')
  sp1.tick_params(axis='y', colors='red')
  
  # Colorcode the spine of the graph
  sp1.spines['bottom'].set_color('r')
  sp1.spines['top'].set_color('r')
  sp1.spines['left'].set_color('r')
  sp1.spines['right'].set_color('r')
  
  # Put the title and labels
  sp1.set_title('matplotlib example 1', color='red')
  sp1.set_xlabel('matplot x label', color='red')
  sp1.set_ylabel('matplot y label', color='red')
  
  # Show the plot/image
  plt.tight_layout()
  plt.grid(alpha=0.8)
  plt.savefig("example6.eps")
  plt.show()
  </code></pre>
  
  <p>It generates the plot as 
  <img src="https://i.stack.imgur.com/HOxjN.jpg" alt="enter image description here"></p>
  
  <p>I am trying to generate a SMOOTH graph instead of lines, but failed to achieve the result. I was trying to follow this video: <a href="https://www.youtube.com/watch?v=uSB8UBrbMfk" rel="noreferrer">https://www.youtube.com/watch?v=uSB8UBrbMfk</a></p>
  
  <p>Can someone please suggest me changes?</p>