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NelleV merged 1 commit into from
Nov 11, 2016
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Enhance annotation_demoX examples #7444

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188 changes: 89 additions & 99 deletions examples/pylab_examples/annotation_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,104 +39,94 @@
import numpy as np


if 1:
# if only one location is given, the text and xypoint being
# annotated are assumed to be the same
fig = plt.figure()
ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1, 5), ylim=(-3, 5))

t = np.arange(0.0, 5.0, 0.01)
s = np.cos(2*np.pi*t)
line, = ax.plot(t, s)

ax.annotate('figure pixels',
xy=(10, 10), xycoords='figure pixels')

ax.annotate('figure points', xy=(80, 80),
xycoords='figure points')

ax.annotate('point offset from data', xy=(2, 1),
xycoords='data',
xytext=(-15, 25), textcoords='offset points',
arrowprops=dict(facecolor='black', shrink=0.05),
horizontalalignment='right', verticalalignment='bottom',
)

ax.annotate('axes fraction', xy=(3, 1), xycoords='data',
xytext=(0.8, 0.95), textcoords='axes fraction',
arrowprops=dict(facecolor='black', shrink=0.05),
horizontalalignment='right', verticalalignment='top',
)

ax.annotate('figure fraction', xy=(.025, .975),
xycoords='figure fraction',
horizontalalignment='left', verticalalignment='top',
fontsize=20)

# use negative points or pixels to specify from right, top -10, 10
# is 10 points to the left of the right side of the axes and 10
# points above the bottom
ax.annotate('pixel offset from axes fraction', xy=(1, 0),
xycoords='axes fraction',
xytext=(-20, 20),
textcoords='offset pixels',
horizontalalignment='right',
verticalalignment='bottom')


if 1:
# you can specify the xypoint and the xytext in different
# positions and coordinate systems, and optionally turn on a
# connecting line and mark the point with a marker. Annotations
# work on polar axes too. In the example below, the xy point is
# in native coordinates (xycoords defaults to 'data'). For a
# polar axes, this is in (theta, radius) space. The text in this
# example is placed in the fractional figure coordinate system.
# Text keyword args like horizontal and vertical alignment are
# respected
fig = plt.figure()
ax = fig.add_subplot(111, projection='polar')
r = np.arange(0, 1, 0.001)
theta = 2*2*np.pi*r
line, = ax.plot(theta, r)

ind = 800
thisr, thistheta = r[ind], theta[ind]
ax.plot([thistheta], [thisr], 'o')
ax.annotate('a polar annotation',
xy=(thistheta, thisr), # theta, radius
xytext=(0.05, 0.05), # fraction, fraction
textcoords='figure fraction',
arrowprops=dict(facecolor='black', shrink=0.05),
horizontalalignment='left',
verticalalignment='bottom',
)


if 1:
# You can also use polar notation on a cartesian axes. Here the
# native coordinate system ('data') is cartesian, so you need to
# specify the xycoords and textcoords as 'polar' if you want to
# use (theta, radius)

el = Ellipse((0, 0), 10, 20, facecolor='r', alpha=0.5)

fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
ax.add_artist(el)
el.set_clip_box(ax.bbox)
ax.annotate('the top',
xy=(np.pi/2., 10.), # theta, radius
xytext=(np.pi/3, 20.), # theta, radius
xycoords='polar',
textcoords='polar',
arrowprops=dict(facecolor='black', shrink=0.05),
horizontalalignment='left',
verticalalignment='bottom',
clip_on=True, # clip to the axes bounding box
)

ax.set_xlim(-20, 20)
ax.set_ylim(-20, 20)
# If only one location is given, the text and xypoint being
# annotated are assumed to be the same
fig = plt.figure()
ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1, 5), ylim=(-3, 5))

t = np.arange(0.0, 5.0, 0.01)
s = np.cos(2*np.pi*t)
line, = ax.plot(t, s)

ax.annotate('figure pixels',
xy=(10, 10), xycoords='figure pixels')

ax.annotate('figure points',
xy=(80, 80), xycoords='figure points')

ax.annotate('point offset from data',
xy=(2, 1), xycoords='data',
xytext=(-15, 25), textcoords='offset points',
arrowprops=dict(facecolor='black', shrink=0.05),
horizontalalignment='right', verticalalignment='bottom')

ax.annotate('axes fraction',
xy=(3, 1), xycoords='data',
xytext=(0.8, 0.95), textcoords='axes fraction',
arrowprops=dict(facecolor='black', shrink=0.05),
horizontalalignment='right', verticalalignment='top')

ax.annotate('figure fraction',
xy=(.025, .975), xycoords='figure fraction',
horizontalalignment='left', verticalalignment='top',
fontsize=20)

# use negative points or pixels to specify from right, top -10, 10
# is 10 points to the left of the right side of the axes and 10
# points above the bottom
ax.annotate('pixel offset from axes fraction',
xy=(1, 0), xycoords='axes fraction',
xytext=(-20, 20), textcoords='offset pixels',
horizontalalignment='right',
verticalalignment='bottom')


# You can specify the xypoint and the xytext in different positions and
# coordinate systems, and optionally turn on a connecting line and mark
# the point with a marker. Annotations work on polar axes too.
# In the example below, the xy point is in native coordinates (xycoords
# defaults to 'data'). For a polar axes, this is in (theta, radius) space.
# The text in the example is placed in the fractional figure coordinate system.
# Text keyword args like horizontal and vertical alignment are respected.
fig = plt.figure()
ax = fig.add_subplot(111, projection='polar')
r = np.arange(0, 1, 0.001)
theta = 2*2*np.pi*r
line, = ax.plot(theta, r)

ind = 800
thisr, thistheta = r[ind], theta[ind]
ax.plot([thistheta], [thisr], 'o')
ax.annotate('a polar annotation',
xy=(thistheta, thisr), # theta, radius
xytext=(0.05, 0.05), # fraction, fraction
textcoords='figure fraction',
arrowprops=dict(facecolor='black', shrink=0.05),
horizontalalignment='left',
verticalalignment='bottom')


# You can also use polar notation on a cartesian axes. Here the native
# coordinate system ('data') is cartesian, so you need to specify the
# xycoords and textcoords as 'polar' if you want to use (theta, radius).

el = Ellipse((0, 0), 10, 20, facecolor='r', alpha=0.5)

fig = plt.figure()
ax = fig.add_subplot(111, aspect='equal')
ax.add_artist(el)
el.set_clip_box(ax.bbox)
ax.annotate('the top',
xy=(np.pi/2., 10.), # theta, radius
xytext=(np.pi/3, 20.), # theta, radius
xycoords='polar',
textcoords='polar',
arrowprops=dict(facecolor='black', shrink=0.05),
horizontalalignment='left',
verticalalignment='bottom',
clip_on=True) # clip to the axes bounding box

ax.set_xlim([-20, 20])
ax.set_ylim([-20, 20])

plt.show()
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