matplotlib scatter plot with different text at eac

问题:

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?

回答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:

回答2:

In version\'s 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.