title: Normal Fit from experimental data
body: <p><a href="https://i.stack.imgur.com/uAuYN.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/uAuYN.png" alt="enter image description here" /></a></p>
  <p>Hi all
  I want to obtain a normal  fit from a set of data obtained from experimental results. Since i am starting with python, I dont know where to start. Here's my experimental data. Its a particle size distribution. I want to obtain mean and std. x is the size and y the frequency.</p>
  <p>Thank you in advance for any help!</p>
  <pre><code>import matplotlib.pyplot as plt
  import numpy as np
  
  
  
  x=([0.251839516,0.490440575,0.744647994,0.990643452,1.244142316,1.488611658,1.741274792,1.986416351,2.232538986,2.495993944,2.736393641,2.985059803,3.241792581,3.497435276,3.744829674,3.991788039,4.23860106])
  y=([0.271164269,0.492366389,1.256781226,2.468772142,4.479769871,8.376708554,11.85803482,14.57231794,15.56056321,14.05547313,11.11227252,7.625604845,3.947070401,2.186355791,0.937144587,0.455061317,0.228687358])
  plt.scatter(x,y,color='red',label='Experiment')
  
  </code></pre>