# 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 `a`s in the pairs and the second plot's y values are the `b`s 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?

Thanks for all the help!

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)
plt.show()
```

will produce:

To unpack your data from pairs into lists use `zip`:

```    x, y = zip(*li)
```

So, the one-liner:

```    plt.scatter(*zip(*li))
```

From: stackoverflow.com/q/21519203

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