Matplotlib layout chart 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 build y against x and annotate with the 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 do not know of any graphing method that would use arrays or lists, but you could use annotate() , sorting the values ​​to 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 many formatting options for annotate() , see matplotlib website:

Answer 2

In a version earlier than matplotlib 2.0, ax.scatter does not require ax.scatter text without ax.scatter . In version 2.0, you will need ax.scatter to set the correct range and markers for the 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.

Answer 3

In case someone tries to apply the above solutions to .scatter () instead of .subplot (),

I tried to run 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 I came across errors that said that "it is impossible to unpack a non-repeatable PathCollection object", and the error points to the code line fig, ax = plt.scatter (z, y)

I eventually resolved the error using the following code

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

I did not expect that there would be a difference between .scatter () and .subplot (), I should have known better.

Answer 4

You can also use pyplot.text (see here ).

 def plot_embeddings(M_reduced, word2Ind, words): """ Plot in a scatterplot the embeddings of the words specified in the list "words". Include a label next to each point. """ for word in words: x, y = M_reduced[word2Ind[word]] plt.scatter(x, y, marker='x', color='red') plt.text(x+.03, y+.03, word, fontsize=9) plt.show() M_reduced_plot_test = np.array([[1, 1], [-1, -1], [1, -1], [-1, 1], [0, 0]]) word2Ind_plot_test = {'test1': 0, 'test2': 1, 'test3': 2, 'test4': 3, 'test5': 4} words = ['test1', 'test2', 'test3', 'test4', 'test5'] plot_embeddings(M_reduced_plot_test, word2Ind_plot_test, words) 

Answer 5

You can also get a scatter plot with tooltip marks on hover using the mpld3 library. https://mpld3.imtqy.com/examples/scatter_tooltip.html