document using an OR condition in filter

.readthedocs.yaml

@@ -0,0 +1,31 @@
+# .readthedocs.yaml
+# Read the Docs configuration file
+# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
+
+# Required
+version: 2
+
+# Set the version of Python and other tools you might need
+build:
+  os: ubuntu-20.04
+  tools:
+    python: "3.9"
+    # You can also specify other tool versions:
+    # nodejs: "16"
+    # rust: "1.55"
+    # golang: "1.17"
+
+# Build documentation in the docs/ directory with Sphinx
+sphinx:
+   configuration: docs/conf.py
+
+# If using Sphinx, optionally build your docs in additional formats such as PDF
+# formats:
+#    - pdf
+
+# Optionally declare the Python requirements required to build your docs
+python:
+   install:
+   - requirements: requirements-dev.txt
+   - method: pip
+     path: .

docs/api_table_core/01_filter.Rmd

@@ -49,6 +49,21 @@ For example, in the code below, a row must meet two conditions to be kept in the
 mtcars >> filter(_.cyl == 4, _.gear == 5)
 ```
 
+### Filters with OR conditions
+
+In order to keep a row when one of several conditions is met, use the bar (`|`) operator.
+
+```{python}
+mtcars >> filter((_.cyl == 4) | (_.gear == 5))
+```
+
+The code above keeps rows where `cyl` is equal to 4 OR `gear` is equal to 5.
+
+Be sure to explicitly put parentheses around both sides.
+Otherwise, python will group the operation like `_.cyl == (4 | _.gear) == 5`.
+
+### Dropping NAs
+
 As with most subsetting in pandas, when a condition evalutes to an `NA` value, the row is automatically excluded. This is different from pandas indexing, where `NA` values produce errors.
 
 ```{python}

docs/index.rst

@@ -15,7 +15,6 @@
     :caption: Reference
 
     api_user_index
-    api_developer/index
     api_extra/index