Matplotlib scatter plot with different text at each data point

I'm not aware of any plotting method which takes arrays or lists but you could use annotate() while iterating over the values in n.

y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]z = [0.15, 0.3, 0.45, 0.6, 0.75]n = [58, 651, 393, 203, 123]fig, ax = plt.subplots()ax.scatter(z, y)for i, txt in enumerate(n):    ax.annotate(txt, (z[i], y[i]))

There are a lot of formatting options for annotate(), see the matplotlib website:

In case anyone is trying to apply the above solutions to a .scatter() instead of a .subplot(),

I tried running the following code

y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]z = [0.15, 0.3, 0.45, 0.6, 0.75]n = [58, 651, 393, 203, 123]fig, ax = plt.scatter(z, y)for i, txt in enumerate(n):    ax.annotate(txt, (z[i], y[i]))

But ran into errors stating "cannot unpack non-iterable PathCollection object", with the error specifically pointing at codeline fig, ax = plt.scatter(z, y)

I eventually solved the error using the following code

plt.scatter(z, y)for i, txt in enumerate(n):    plt.annotate(txt, (z[i], y[i]))

I didn't expect there to be a difference between .scatter() and .subplot()I should have known better.

In versions earlier than matplotlib 2.0, ax.scatter is not necessary to plot text without markers. In version 2.0 you'll need ax.scatter to set the proper range and markers for text.

y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]z = [0.15, 0.3, 0.45, 0.6, 0.75]n = [58, 651, 393, 203, 123]fig, ax = plt.subplots()for i, txt in enumerate(n):    ax.annotate(txt, (z[i], y[i]))

And in this link you can find an example in 3d.