Matplotlib scatter plot with different text at each data point

Question

I am trying to make a scatter plot and annotate data points with different numbers from a list. So, for example, I want to plot y vs x and annotate with corresponding numbers from 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] ax = fig.add_subplot(111) ax1.scatter(z, y, fmt='o') 

Any ideas?

Answer 1

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:

Answer 2

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.