8000 Doc AHA bullseye by tacaswell · Pull Request #4550 · matplotlib/matplotlib · GitHub
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merged 5 commits into from
Jun 23, 2015
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Doc AHA bullseye #4550

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a425953
Left ventricle bull eye
curiale Sep 15, 2014
ce91884
Style corrections
curiale Sep 15, 2014
45cef15
Improve the documentation
curiale Oct 3, 2014
0709202
Added the colormap and normalize as arguments
curiale Oct 18, 2014
1b831cb
MNT: minor doc + convention clean up
tacaswell Jun 23, 2015
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@curiale
curiale committed Oct 3, 2014
commit 45cef157aac1bfd154788108aeba0c79e4383425
43 changes: 33 additions & 10 deletions examples/pylab_examples/leftventricle_bulleye.py
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@@ -1,18 +1,41 @@
#!/usr/bin/env python
"""
In this example we create the bull eye representation for the left ventricle
according to the American Heart Association (AHA)
This example demonstrates how to create the 17 segment model for the left
ventricle recommended by the American Heart Association (AHA).
"""

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt


def bulleye_plot(data, ax, vlim=None, segBold=[]):
def bullseye_plot(ax, data, vlim=None, segBold=[]):
"""
Left Ventricle bull eye for the Left Ventricle according to the
American Heart Association (AHA)
Bullseye representation for the left ventricle.

Parameters
----------
ax : axes
data : list of int and float
The intensity values for each of the 17 segments
vlim : [min, max] or None
Optional argument to set the Intensity range
segBold: list of int
A list with the segments to highlight


Notes
-----
This function create the 17 segment model for the left ventricle according
to the American Heart Association (AHA) [1]_

References
----------
.. [1] M. D. Cerqueira, N. J. Weissman, V. Dilsizian, A. K. Jacobs,
S. Kaul, W. K. Laskey, D. J. Pennell, J. A. Rumberger, T. Ryan,
and M. S. Verani, “Standardized myocardial segmentation and nomenclature
for tomographic imaging of the heart,” Circulation, vol. 105, no. 4,
pp. 539–542, 2002.
"""

linewidth = 2
Expand Down Expand Up @@ -101,13 +124,13 @@ def bulleye_plot(data, ax, vlim=None, segBold=[]):

fig, ax = plt.subplots(figsize=(12, 8), nrows=1, ncols=2,
subplot_kw=dict(projection='polar'))
fig.canvas.set_window_title('Left Ventricle Bull Eyes (AHA)')
fig.canvas.set_window_title('Left Ventricle Bulls Eyes (AHA)')

bulleye_plot(data, ax[0], vlim=vlim)
ax[0].set_title('Bull Eye (AHA)')
bullseye_plot(ax[0], data, vlim=vlim)
ax[0].set_title('Bulls Eye (AHA)')

bulleye_plot(data, ax[1], segBold=[3,5,6,11,12,16],
vlim=vlim)
bullseye_plot(ax[1], data, segBold=[3, 5, 6, 11, 12, 16],
vlim=vlim)
ax[1].set_title('Segments [3,5,6,11,12,16] in bold')


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