Output images

Author: henryiii

.github/workflows/masteronly.yml renamed to .github/workflows/examples.yml

@@ -1,14 +1,16 @@
-name: Master Only
+name: Examples
 
 on:
   pull_request:
+    paths:
+    - 'examples/*.py'
+    - 'notebooks/*.ipynb'
   push:
     branches:
     - master
 
 jobs:
   examples:
-    name: Examples
     runs-on: ubuntu-latest
     steps:
     - uses: actions/checkout@v1
@@ -18,10 +20,12 @@ jobs:
       with:
         python-version: '3.8.0'
     - name: Pre-install Numpy
-      run: python -m pip install numpy nbconvert
+      run: python -m pip install numpy nbconvert ipykernel
+    - name: Install kernel
+      run: python -m ipykernel install --user --name boost-hist
     - name: Build
       run: python -m pip install .[examples]
     - name: Examples
       run: for f in examples/*.py; do python "$f"; done
     - name: Notebooks
-      run: nbconvert --execute --inplace notebooks/*.ipynb
+      run: jupyter nbconvert --execute --inplace notebooks/*.ipynb

.github/workflows/pre-commit.yml

@@ -1,14 +1,18 @@
-name: Format
+name: Tests
 
 on:
   pull_request:
+    branches:
+    - master
+    - develop
   push:
     branches:
     - master
     - develop
 
 jobs:
   pre-commit:
+    name: Format
     runs-on: ubuntu-latest
     steps:
     - uses: actions/checkout@v1

.gitignore

@@ -35,6 +35,10 @@
 /*build*
 /docs/_build/*
 
+# Outputs
+/examples/*.png
+*.pkl
+
 # Python binary files
 *.pyc
 *__pycache__*

examples/simple_2d.py

@@ -27,4 +27,4 @@
 ax.set_xlabel(h.axes[0].metadata)
 ax.set_ylabel(h.axes[1].metadata)
 ax.set_aspect("equal")
-plt.show()
+plt.savefig("simple_2d.png")

examples/simple_density.py

@@ -16,11 +16,11 @@
 # Compute the density
 density = hist.view() / hist.sum() / areas
 
-# pcolormesh requires fully broadcast arrays for ij indexing, sadly, so get the
-# edges (50x1 and 1x50 arrays) and broadcast them out to 50x50.
-X, Y = np.broadcast_arrays(*hist.axes.edges)
+# Get the edges
+X, Y = hist.axes.edges
 
+# Make the plot
 fig, ax = plt.subplots()
-mesh = ax.pcolormesh(X, Y, density)
+mesh = ax.pcolormesh(X.T, Y.T, density.T)
 fig.colorbar(mesh)
-plt.show()
+plt.savefig("simple_density.png")

examples/simple_numpy.py

@@ -28,4 +28,4 @@
 plt.pcolor(x, y, count_matrix.T)
 plt.xlabel(h.axes[0].metadata)
 plt.ylabel(h.axes[1].metadata)
-plt.show()
+plt.savefig("simple_numpy.png")