Update the insights workflows and examples. (#67)

.github/workflows/ci-workflow.yml

@@ -5,8 +5,8 @@ jobs:
     name: lint-python
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v3
-    - uses: actions/setup-python@v4
+    - uses: actions/checkout@v4
+    - uses: actions/setup-python@v5
       with:
         python-version: '3.x'
     - name: Install ruff
@@ -20,15 +20,15 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        asr_versions: ['1.0', '1.1', '1.2']
+        asr_versions: ['1.0', '1.2', '1.4', '1.6']
     steps:
-    - uses: actions/checkout@v3
-    - uses: actions/setup-python@v4
+    - uses: actions/checkout@v4
+    - uses: actions/setup-python@v5
       with:
         python-version: '3.x'
     - name: Install packages and run tests
       run: |
         pip install pytest
-        pip install asreview[all]==${{ matrix.asr_versions }}
+        pip install asreview==${{ matrix.asr_versions }}
         pip install .
         pytest tests

docs/example_absolute_axes.py

@@ -3,7 +3,7 @@
 
 from asreviewcontrib.insights.plot import plot_recall
 
-with open_state("tests/asreview_files/sim_van_de_schoot_2017_1.asreview") as s:
+with open_state("tests/asreview_files/sim_van_de_schoot_2017_logistic.asreview") as s:
     fig, ax = plt.subplots()
     plot_recall(ax, s, x_absolute=True, y_absolute=True)
 

docs/example_custom_title.py

@@ -3,7 +3,7 @@
 
 from asreviewcontrib.insights.plot import plot_wss
 
-with open_state("tests/asreview_files/sim_van_de_schoot_2017_1.asreview") as s:
+with open_state("tests/asreview_files/sim_van_de_schoot_2017_logistic.asreview") as s:
     fig, ax = plt.subplots()
 
     plot_wss(ax, s)

docs/example_multiple_lines.py

@@ -8,18 +8,20 @@
 
 fig, ax = plt.subplots()
 
-with open_state("tests/asreview_files/sim_van_de_schoot_2017_1.asreview") as s1:
+with open_state(
+    "tests/asreview_files/sim_van_de_schoot_2017_stop_if_min.asreview"
+) as s1:
     plot_recall(ax, s1)
 
 with open_state(
     "tests/asreview_files/" "sim_van_de_schoot_2017_logistic.asreview"
 ) as s2:
     plot_recall(ax, s2)
 
-# Set the labels for the legend. Both plots add the recall line and the random
-# line. Hence the recall lines are the 0th and 2nd line.
+# Set the labels for the legend. Both plots add the recall line, the random
+# curve, and the perfect curve. Hence the recall lines are the 0th and 3nd line.
 ax.lines[0].set_label("Naive Bayes")
-ax.lines[2].set_label("Logistic")
+ax.lines[3].set_label("Logistic")
 ax.legend()
 
 fig.savefig("docs/example_multiple_lines.png")