import matplotlib.pyplot as plt

import matplotlib.transforms as mtransforms

import numpy as np

from matplotlib.transforms import offset_copy

xs = np.arange(7)

ys = xs**2

fig = plt.figure(figsize=(5, 10))

ax = plt.subplot(2, 1, 1)

trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,

x=0.05, y=0.10, units='inches')

for x, y in zip(xs, ys):

plt.plot((x,), (y,), 'ro')

plt.text(x, y, '%d, %d' % (int(x), int(y)), transform=trans_offset)

ax = plt.subplot(2, 1, 2, projection='polar')

trans_offset = mtransforms.offset_copy(ax.transData, fig=fig,

y=6, units='dots')

for x, y in zip(xs, ys):

plt.polar((x,), (y,), 'ro')

plt.text(x, y, '%d, %d' % (int(x), int(y)),

transform=trans_offset,

horizontalalignment='center',

verticalalignment='bottom')

plt.show()