# [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 `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?

##
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)
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))
```

##
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
plt.scatter(x,y)
plt.show()
```

##
Solution #3:

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

```
plt.plot(li[:])
plt.show()
```

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.