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Added extensions for inline doc plotting

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This commit is contained in:
Alan Saul 2013-01-31 15:19:53 +00:00
parent 8498332f76
commit 0763efcad4
2 changed files with 20 additions and 2 deletions
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12
doc/conf.py
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@ -126,7 +126,7 @@ for mod_name in MOCK_MODULES:
# If your extensions are in another directory, add it here. If the directory # If your extensions are in another directory, add it here. If the directory
# is relative to the documentation root, use os.path.abspath to make it # is relative to the documentation root, use os.path.abspath to make it
# absolute, like shown here. # absolute, like shown here.
#sys.path.append(os.path.abspath('.')) sys.path.append(os.path.abspath('sphinxext'))
# If extensions (or modules to document with autodoc) are in another directory, # If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the # add these directories to sys.path here. If the directory is relative to the
@ -140,7 +140,15 @@ for mod_name in MOCK_MODULES:
# Add any Sphinx extension module names here, as strings. They can be extensions # Add any Sphinx extension module names here, as strings. They can be extensions
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones. # coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode'] extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode',
'matplotlib.sphinxext.mathmpl',
'matplotlib.sphinxext.only_directives',
'matplotlib.sphinxext.plot_directive',
'matplotlib.sphinxext.ipython_directive',
'sphinx.ext.doctest',
'ipython_console_highlighting',
'inheritance_diagram',
'numpydoc']
# ----------------------- READTHEDOCS ------------------ # ----------------------- READTHEDOCS ------------------
on_rtd = os.environ.get('READTHEDOCS', None) == 'True' on_rtd = os.environ.get('READTHEDOCS', None) == 'True'

10
doc/tuto_GP_regression.rst
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@ -146,3 +146,13 @@ The flag ``ARD=True`` in the definition of the Matern kernel specifies that we w
:height: 350px :height: 350px
Contour plot of the best predictor (posterior mean). Contour plot of the best predictor (posterior mean).
.. plot::
import matplotlib.pyplot as plt
import numpy as np
x = np.random.randn(1000)
plt.hist( x, 20)
plt.grid()
plt.title(r'Normal: $\mu=%.2f, \sigma=%.2f$'%(x.mean(), x.std()))
plt.show()