title: Python scatter plot 2 dimensional array
body: <p>I'm trying to do something that I think should be pretty straight forward but I can't seem to get it to work.</p>
  
  <p>I'm trying to plot 16 byte values measured over time to see how they change. I'm trying to use a scatter plot to do this with:
  x axis being the measurement index
  y axis being the index of the byte
  and the color indicating the value of the byte.</p>
  
  <p>I have the data stored in a numpy array where data[2][14] would give me the value of the 14th byte in the 2nd measurement.</p>
  
  <p>Every time I try to plot this, I'm getting either:</p>
  
  <pre><code>ValueError: x and y must be the same size
  IndexError: index 10 is out of bounds for axis 0 with size 10
  </code></pre>
  
  <p>Here is the sample test I'm using:</p>
  
  <pre><code>import numpy
  import numpy.random as nprnd
  import matplotlib.pyplot as plt
  
  #generate random measurements
  # 10 measurements of 16 byte values
  x = numpy.arange(10)
  y = numpy.arange(16)
  test_data = nprnd.randint(low=0,high=65535, size=(10, 16))
  
  #scatter plot the measurements with
  # x - measurement index (0-9 in this case)
  # y - byte value index (0-15 in this case) 
  # c = test_data[x,y]
  
  plt.scatter(x,y,c=test_data[x][y])
  plt.show()
  </code></pre>
  
  <p>I'm sure it is something stupid I'm doing wrong but I can't seem to figure out what.</p>
  
  <p>Thanks for the help.</p>