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<div id="unreleased-message"> You are reading an old version of the documentation (v2.1.2). For the latest version see <a href="https://matplotlib.org/stable/gallery/misc/transoffset.html">https://matplotlib.org/stable/gallery/misc/transoffset.html</a></div>

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<h1>Transoffset<a class="headerlink" href="#transoffset" title="Permalink to this headline">¶</a></h1>

This illustrates the use of transforms.offset_copy to

make a transform that positions a drawing element such as

a text string at a specified offset in screen coordinates

(dots or inches) relative to a location given in any

coordinates.

Every Artist–the mpl class from which classes such as

Text and Line are derived–has a transform that can be

set when the Artist is created, such as by the corresponding

pyplot command. By default this is usually the Axes.transData

transform, going from data units to screen dots. We can

use the offset_copy function to make a modified copy of

this transform, where the modification consists of an

offset.

<div class="highlight-python"><div class="highlight"><pre>import matplotlib.pyplot as plt

import matplotlib.transforms as mtransforms

import numpy as np

from matplotlib.transforms import offset_copy

xs = <a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.arange.html#numpy.arange" title="View documentation for numpy.arange">np.arange</a>(7)

ys = xs**2

fig = <a href="../../api/_as_gen/matplotlib.pyplot.figure.html#matplotlib.pyplot.figure" title="View documentation for matplotlib.pyplot.figure">plt.figure</a>(figsize=(5, 10))

ax = <a href="../../api/_as_gen/matplotlib.pyplot.subplot.html#matplotlib.pyplot.subplot" title="View documentation for matplotlib.pyplot.subplot">plt.subplot</a>(2, 1, 1)

# If we want the same offset for each text instance,

# we only need to make one transform. To get the

# transform argument to offset_copy, we need to make the axes

# first; the subplot command above is one way to do this.

trans_offset = <a href="../../api/transformations.html#matplotlib.transforms.offset_copy" title="View documentation for matplotlib.transforms.offset_copy">mtransforms.offset_copy</a>(ax.transData, fig=fig,

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

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

<a href="../../api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot" title="View documentation for matplotlib.pyplot.plot">plt.plot</a>((x,), (y,), 'ro')

<a href="../../api/_as_gen/matplotlib.pyplot.text.html#matplotlib.pyplot.text" title="View documentation for matplotlib.pyplot.text">plt.text</a>(x, y, '%d, %d' % (int(x), int(y)), transform=trans_offset)

# offset_copy works for polar plots also.

y=6, units='dots')

<a href="../../api/_as_gen/matplotlib.pyplot.polar.html#matplotlib.pyplot.polar" title="View documentation for matplotlib.pyplot.polar">plt.polar</a>((x,), (y,), 'ro')

transform=trans_offset,

horizontalalignment='center',

verticalalignment='bottom')

<a href="../../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="View documentation for matplotlib.pyplot.show">plt.show</a>()

</pre></div>

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Total running time of the script: ( 0 minutes 0.083 seconds)

<a class="reference download internal" href="../../_downloads/transoffset.py" download=""><code class="xref download docutils literal">Download Python source code: transoffset.py</code></a></div>

<a class="reference download internal" href="../../_downloads/transoffset.ipynb" download=""><code class="xref download docutils literal">Download Jupyter notebook: transoffset.ipynb</code></a></div>

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