If you want to label your plot points using python matplotlib, I used the following code.
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
and you use those 30,0 values to position the data label point, so it's on the y=0
and x=30
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):
It's not ideal, there is still some overlap.
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
ax.plot(A,B)
for xy in zip(A, B): # <--
ax.annotate('(%s, %s)' % xy, xy=xy, textcoords='data') # <--
ax.grid()
plt.show()