Ipysurfer

.travis.yml

@@ -6,6 +6,8 @@ python:
 sudo: false
 install:
   - pip install codespell flake8 ipyvolume matplotlib mne numpy nibabel pydocstyle pythreejs scipy bqplot
+  - pip install pytest pytest-cov
 script:
   - make pep
-  - python -c "import mne_g3d"  # just a smoke test for now
+  - pytest # unit tests
+  - python -c "import ipysurfer"  # a smoke test

Makefile

@@ -6,7 +6,7 @@ PYTHON ?= python
 PYTESTS ?= py.test
 CTAGS ?= ctags
 CODESPELL_SKIPS ?= "*.fif"
-CODESPELL_DIRS ?= mne_g3d/
+CODESPELL_DIRS ?= ipysurfer/
 all: clean inplace test test-doc
 
 clean-pyc:
@@ -32,12 +32,12 @@ inplace:
 	$(PYTHON) setup.py build_ext -i
 
 test:
-	pytest mne_g3d
+	pytest ipysurfer
 
 pep: flake pydocstyle codespell-error
 
 flake:
-	flake8 --count mne_g3d
+	flake8 --count ipysurfer
 
 pydocstyle:
 	pydocstyle

examples/ipysurfer.ipynb

@@ -0,0 +1,101 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Ipysurfer examples"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Basic Visualization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Initialize a basic visualization session.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os.path as path\n",
+    "\n",
+    "import mne\n",
+    "\n",
+    "from ipysurfer import Brain"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b46cf42ca2cb4fedb351d354a5137e1c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(HTML(value='<p style=\"color: None\"><b>Sample</b></p>'), HBox(children=(Figure(animation=0.0, ca…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data_path = mne.datasets.sample.data_path()\n",
+    "\n",
+    "subject_id = 'sample'\n",
+    "subjects_dir = path.join(data_path, 'subjects')\n",
+    "\n",
+    "hemi = 'both'\n",
+    "surf = 'inflated'\n",
+    "\n",
+    "# Call the Brain object constructor with\n",
+    "# parameters to initialize the visualization session.\n",
+    "brain = Brain(subject_id, hemi, surf, size=300, subjects_dir=subjects_dir)\n",
+    "brain.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (mne_g3d)",
+   "language": "python",
+   "name": "mne_g3d"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}