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.circleci/config.yml

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@@ -81,7 +81,7 @@ jobs:
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name: Build docs
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command: |
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cd doc
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sphinx-build -D plot_gallery=1 -D sphinx_gallery_conf.filename_pattern=^\(\(?\!plot_fmri_activation_volume\|plot_resting_correlations\|rotate_animation\|save_movie\|save_views\).\)*\$ -b html -d _build/doctrees . _build/html
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sphinx-build -nWT --keep-going -D plot_gallery=1 -D sphinx_gallery_conf.filename_pattern=^\(\(?\!plot_fmri_activation_volume\|plot_resting_correlations\|rotate_animation\|save_movie\|save_views\).\)*\$ -b html -d _build/doctrees . _build/html
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- store_artifacts:
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path: doc/_build/html/

.travis.yml

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- os: linux
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env: PYTHON_VERSION=3.5
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CONDA_DEPENDENCIES="numpy scipy matplotlib coverage pytest pytest-cov flake8"
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PIP_DEPENDENCIES="codecov pytest-sugar pytest-faulthandler nibabel imageio"
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PIP_DEPENDENCIES="codecov pytest-sugar nibabel imageio"
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# OSX
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- os: osx

doc/documentation/command_line.rst

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As in tksurfer, most aspects of the visualization can be initialized
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from the command-line. To get a full documentation of the command-line
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interface, simply type ``pysurfer`` at a terminal prompt and hit enter.
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For convenience, this usage message is reproduced below.
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.. literalinclude:: pysurfer_usage.txt

examples/plot_label.py

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# If the label lives in the normal place in the subjects directory,
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# you can plot it by just using the name
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brain.add_label("BA1_exvivo")
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brain.add_label("BA1")
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# Some labels have an associated scalar value at each ID in the label.
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# For example, they may be probabilistically defined. You can threshold
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# what vertices show up in the label using this scalar data
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brain.add_label("BA1_exvivo", color="blue", scalar_thresh=.5)
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brain.add_label("BA1", color="blue", scalar_thresh=.5)
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# Or you can give a path to a label in an arbitrary location
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subj_dir = brain.subjects_dir
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label_file = os.path.join(subj_dir, subject_id,
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"label", "%s.MT_exvivo.label" % hemi)
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"label", "%s.MT.label" % hemi)
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brain.add_label(label_file)
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# By default the label is 'filled-in', but you can
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# plot just the label boundaries
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brain.add_label("BA44_exvivo", borders=True)
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brain.add_label("BA44", borders=True)
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# You can also control the opacity of the label color
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brain.add_label("BA6_exvivo", alpha=.7)
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brain.add_label("BA6", alpha=.7)
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# Finally, you can plot the label in any color you want.
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brain.show_view(dict(azimuth=-42, elevation=105, distance=225,
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focalpoint=[-30, -20, 15]))
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# Use any valid matplotlib color.
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brain.add_label("V1_exvivo", color="steelblue", alpha=.6)
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brain.add_label("V2_exvivo", color="#FF6347", alpha=.6)
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brain.add_label("entorhinal_exvivo", color=(.2, 1, .5), alpha=.6)
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brain.add_label("V1", color="steelblue", alpha=.6)
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brain.add_label("V2", color="#FF6347", alpha=.6)
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brain.add_label("entorhinal", color=(.2, 1, .5), alpha=.6)

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