# Label python data points on plot

I searched for ages (hours which is like ages) to find the answer to a really annoying (seemingly basic) problem, and because I cant find a question that quite fits the answer I am posting a question and answering it in the hope that it will save someone else the huge amount of time I just spent on my noobie plotting skills.

If you want to label your plot points using python matplotlib

```
from matplotlib import pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
A = anyarray
B = anyotherarray
plt.plot(A,B)
for i,j in zip(A,B):
ax.annotate('%s)' %j, xy=(i,j), xytext=(30,0), textcoords='offset points')
ax.annotate('(%s,' %i, xy=(i,j))
plt.grid()
plt.show()
```

I know that xytext=(30,0) goes along with the textcoords, you use those 30,0 values to position the data label point, so its on the 0 y axis and 30 over on the x axis on its own little area.

You need both the lines plotting i and j otherwise you only plot x or y data label.

You get something like this out (note the labels only):

Its not ideal, there is still some overlap - but its better than nothing which is what I had..

How about print `(x, y)`

at once.

```
from matplotlib import pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
A = -0.75, -0.25, 0, 0.25, 0.5, 0.75, 1.0
B = 0.73, 0.97, 1.0, 0.97, 0.88, 0.73, 0.54
plt.plot(A,B)
for xy in zip(A, B): # <--
ax.annotate('(%s, %s)' % xy, xy=xy, textcoords='data') # <--
plt.grid()
plt.show()
```

From: stackoverflow.com/q/22272081

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