[Solved] Plotting a list of (x, y) coordinates in python matplotlib

I have a list of pairs (a, b) that I would like to plot with matplotlib in python as actual x-y coordinates. Currently, it is making two plots, where the index of the list gives the x-coordinate, and the first plot’s y values are the as in the pairs and the second plot’s y values are the bs in the pairs.

To clarify, my data looks like this: li = [(a,b), (c,d), ... , (t, u)]
I want to do a one-liner that just calls plt.plot() incorrect.
If I didn’t require a one-liner I could trivially do:

xs = [x[0] for x in li]
ys = [x[1] for x in li]
plt.plot(xs, ys)

How can I get matplotlib to plot these pairs as x-y coordinates?

Solution #1:

As per this example:

import numpy as np
import matplotlib.pyplot as plt

N = 50
x = np.random.rand(N)
y = np.random.rand(N)

plt.scatter(x, y)

will produce:

enter image description here

To unpack your data from pairs into lists use zip:

x, y = zip(*li)

So, the one-liner:

Respondent: sashkello

Solution #2:

If you have a numpy array you can do this:

import numpy as np
from matplotlib import pyplot as plt

data = np.array([
    [1, 2],
    [2, 3],
    [3, 6],
x, y = data.T
Respondent: Zweedeend

Solution #3:

If you want to plot a single line connecting all the points in the list



This will plot a line connecting all the pairs in the list as points on a Cartesian plane from the starting of the list to the end.
I hope that this is what you wanted.

Respondent: Shubham Rana

The answers/resolutions are collected from stackoverflow, are licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 .

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