text: user4845: I want to replicate the synergy drug response curve with the Python library given in the following paper.
  Could you kindly advice on:
  
  Suitable graphics libraries for Python
  Code or pseudo code
  
  Apologies because I don't currently have a test code.
  I would really appreciate if anyone could guide me in this.
  Thank you in advance.
  Fig 1a
  https://www.nature.com/articles/s41586-022-04437-2/figures/1
  
  
  user3848: To get you started. Complex editing in matplotlib isn't intuitive.
  #!/usr/bin/env python3
  
  from numpy import linspace, sin
  # you don't need math its just to get the value of pi for this data
  import math 
  import matplotlib.pyplot as plt
  
  
  xaxis = linspace(1,1.75*math.pi,10)
  drug2 = linspace(1,1.45*math.pi,10)
  
  drug1 = sin(xaxis)
  drug2b = sin(drug2)
  plt.plot(xaxis, drug1, xaxis, drug2b)
  plt.legend(['Drug 1', 'Drug 2'])
  plt.show()
  
  
  The authors look to have curve fitted and for that you would use import scipy.optimize as opt
  
original_text: 4845: <p>I want to replicate the synergy drug response curve with the Python library given in the following paper.
  Could you kindly advice on:</p>
  <ul>
  <li>Suitable graphics libraries for Python</li>
  <li>Code or pseudo code</li>
  </ul>
  <p>Apologies because I don't currently have a test code.</p>
  <p>I would really appreciate if anyone could guide me in this.
  Thank you in advance.</p>
  <p>Fig 1a</p>
  <p><a href="https://www.nature.com/articles/s41586-022-04437-2/figures/1" rel="nofollow noreferrer">https://www.nature.com/articles/s41586-022-04437-2/figures/1</a></p>
  <p><a href="https://i.stack.imgur.com/OTRxc.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/OTRxc.png" alt="enter image description here" /></a></p>
   3848: <p>To get you started. Complex editing in matplotlib isn't intuitive.</p>
  <pre><code>#!/usr/bin/env python3
  
  from numpy import linspace, sin
  # you don't need math its just to get the value of pi for this data
  import math 
  import matplotlib.pyplot as plt
  
  
  xaxis = linspace(1,1.75*math.pi,10)
  drug2 = linspace(1,1.45*math.pi,10)
  
  drug1 = sin(xaxis)
  drug2b = sin(drug2)
  plt.plot(xaxis, drug1, xaxis, drug2b)
  plt.legend(['Drug 1', 'Drug 2'])
  plt.show()
  </code></pre>
  <p><a href="https://i.stack.imgur.com/MHoue.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/MHoue.png" alt="enter image description here" /></a></p>
  <p>The authors look to have curve fitted and for that you would use <code>import scipy.optimize as opt</code></p>
  