title: Plotting a smooth curve in matplotlib graphs
body: <p>I am reading a netcdf file using python and need to plot a graphs using matplotlib library in python.
  The netcdf file is containing 3 variables: <code>u</code> <code>v</code> and <code>w</code> components.
  I have to draw these 3 components on a vertical scale. 
  Since these data is going to be used in a weather forecasting radar's.
  I need to plot these graphs with smooth curves around the corner.
  now the plot looks <img src="https://i.stack.imgur.com/d0Y6q.png" alt="like">
  <strong>and the code is...</strong></p>
  
  <pre><code>from netCDF4 import Dataset
  from pylab import *
  import numpy  
  from scipy import interpolate
  from scipy.interpolate import spline
  
  
  #passing the filename
  
  root_grp=Dataset('C:\\Python27\\MyPrograms\\nnt206rwpuvw.nc')
  
  #getting values of u component
  temp1 = root_grp.variables['ucomponent']
  data1 = temp1[:]
  u=data1[0]
  
  #getting values of v component
  temp2 = root_grp.variables['wcomponent']
  data2 = temp2[:]
  v=data2[0]
  #getting values of w component
  temp3 = root_grp.variables['wcomponent']
  data3 = temp3[:]
  w=data3[0]
  #creating a new array
  array=0.15*numpy.arange(1,55).reshape(1,54)
  #aliasing
  y=array[0]
  #sub-plots
  f, (ax1, ax2, ax3) = plt.subplots(1,3, sharey=True)
  ax1.plot(u,y,'r')
  ax2.plot(v,y,'g')
  ax3.plot(w,y,'b')
  #texts
  ax1.set_title('u component',fontsize=16,color='r')
  ax2.set_title('v component',fontsize=16,color='g')
  ax3.set_title('w component',fontsize=16,color='b')
  show()
  </code></pre>