Adding coordinates to a plot in text form

John Hunter wrote:

Is there a way to add the coordinates in text form to each plus in the
attached figure ?
ERach plus in the plot is generated by

For example the rightmost plus (in the upper right half plane) should
have a text (1.049+0.692j)
Can I use text for this purpose ?

You can use text, but I suggest you use the brand-spanking-new
annotate function, which is designed to annotate data points with
text. It has support for arrows, and offsets from the annotated point
in a variety of coordinate systems.

Here is an example that shows annotations in a variety of contexts

Some examples of how to annotate points in figures. You specify an
annotation point xy=(x,y) and a text point xytext=(x,y) for the
annotated points and text location, respectively. Optionally, you can
specify the coordinate system of xy and xytext with one of the
following strings for xycoords and textcoords (default is 'data')

'figure points' : points from the lower left corner of the figure
'figure pixels' : pixels from the lower left corner of the figure
'figure fraction' : 0,0 is lower left of figure and 1,1 is upper, right
'axes points' : points from lower left corner of axes
'axes pixels' : pixels from lower left corner of axes
'axes fraction' : 0,1 is lower left of axes and 1,1 is upper right
'data' : use the axes data coordinate system

Optionally, you can specify arrow properties which draws and arrow
from the text to the annotated point by giving a dictionary of arrow

Valid keys are

         width : the width of the arrow in points
         frac : the fraction of the arrow length occupied by the head
         headwidth : the width of the base of the arrow head in points
         shrink : move the tip and base some percent away from the
                  annotated point and text
         any key for matplotlib.patches.polygon (eg facecolor)

For physical coordinate systems (points or pixels) the origin is the
(bottom, left) of the figure or axes. If the value is negative,
however, the origin is from the (right, top) of the figure or axes,
analogous to negative indexing of sequences.

from pylab import figure, show, nx
from matplotlib.patches import Ellipse

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

   t = nx.arange(0.0, 5.0, 0.01)
   s = nx.cos(2*nx.pi*t)
   line, = ax.plot(t, s, lw=3, color='purple')

   ax.annotate('axes center', xy=(.5, .5), xycoords='axes fraction',
               horizontalalignment='center', verticalalignment='center')

   ax.annotate('pixels', xy=(20, 20), xycoords='figure pixels')

   ax.annotate('points', xy=(100, 300), xycoords='figure points')

   ax.annotate('local max', 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('a fractional title', xy=(.025, .975),
               xycoords='figure fraction',
               horizontalalignment='left', verticalalignment='top',

   # 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('bottom right (points)', xy=(-10, 10),
               xycoords='axes points',
               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 = figure()
   ax = fig.add_subplot(111, polar=True)
   r = nx.arange(0,1,0.001)
   theta = 2*2*nx.pi*r
   line, = ax.plot(theta, r, color='#ee8d18', lw=3)

   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),

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 = figure()
   ax = fig.add_subplot(111, aspect='equal')
   ax.annotate('the top',
               xy=(nx.pi/2., 10.), # theta, radius
               xytext=(nx.pi/3, 20.), # theta, radius
               arrowprops=dict(facecolor='black', shrink=0.05),

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


Hi John,

Thank you very much for your note !
How can I control the number of digits in the output (image.png) ?
I would like to have four digits for the real part and four digits for
the imaginary part.
And how can I suppress small numbers ?





On 2/8/07, Nils Wagner <nwagner@...1052...> wrote: