sorting labels in matplotlib scaterplot

Question

I have the following code for a scatterplot, and the corresponding plot is shown below:

x = [\'C9-U2\', \'C10-U5\', \'C10-U5\', \'C11-U1\', \'C11-U1\']
y = [\'J\         


        

Answer 1

I changed how your scatterplot is created quite a bit.

Here is my code:

import matplotlib.pyplot as plt

# This is your original code.
# x = ['C9-U2', 'C10-U5', 'C10-U5', 'C3-U1', 'C3-U1']
# y = ['J',     'C',      'H',      'J',     'H']
# plt.scatter(x,y)
# plt.show()

ordered_pairs = set([
     ('C9-U2', 'J'),
     ('C10-U5', 'C'),
     ('C10-U5', 'H'),
     ('C3-U1', 'J'),
     ('C3-U1', 'H')
])

x,y = zip(*ordered_pairs)
plt.scatter(x, y)
plt.show()

I turned your data points into a set of ordered pairs. This lets us zip the set, which is used to pack and unpack arrays with each argument passed. We use the * operator to inverse the process. You can read more about zip here.

When the code is ran, the image shown is the following, which I hope is what you were looking for: