Add missing primitives to API Docs

docs/Makefile

@@ -57,11 +57,7 @@ clean:
 
 .PHONY: html
 html:
-	# Remove the following line when sphinx issue (https://github.com/sphinx-doc/sphinx/issues/10943) is closed
-	python -m pip install .. --quiet --no-dependencies
 	$(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html $(SPHINXOPTS)
-	# Remove the following line when sphinx issue (https://github.com/sphinx-doc/sphinx/issues/10943) is closed
-	python -m pip install -e .. --quiet --no-dependencies
 	@echo
 	@echo "Build finished. The HTML pages are in $(BUILDDIR)/html."
 

docs/source/api_reference.rst

@@ -70,6 +70,7 @@ Aggregation Primitives
 
     All
     Any
+    AverageCountPerUnique
     AvgTimeBetween
     Count
     CountAboveMean
@@ -80,25 +81,46 @@ Aggregation Primitives
     CountLessThan
     CountOutsideNthSTD
     CountOutsideRange
+    DateFirstEvent
     Entropy
     First
+    FirstLastTimeDelta
+    HasNoDuplicates
+    IsMonotonicallyDecreasing
+    IsMonotonicallyIncreasing
+    IsUnique
+    Kurtosis
     Last
     Max
     MaxConsecutiveFalse
     MaxConsecutiveNegatives
     MaxConsecutivePositives
     MaxConsecutiveTrue
     MaxConsecutiveZeros
+    MaxCount
+    MaxMinDelta
     Mean
     Median
+    MedianCount
     Min
+    MinCount
     Mode
     NMostCommon
+    NMostCommonFrequency
+    NUniqueDays
+    NUniqueDaysOfCalendarYear
+    NUniqueMonths
+    NUniqueWeeks
     NumConsecutiveGreaterMean
     NumConsecutiveLessMean
+    NumFalseSinceLastTrue
+    NumPeaks
     NumTrue
+    NumTrueSinceLastFalse
     NumUnique
+    NumZeroCrossings
     PercentTrue
+    PercentUnique
     Skew
     Std
     Sum
@@ -109,6 +131,7 @@ Aggregation Primitives
     TimeSinceLastMin
     TimeSinceLastTrue
     Trend
+    Variance
 
 Transform Primitives
 --------------------
@@ -120,6 +143,7 @@ Binary Transform Primitives
     AddNumeric
     AddNumericScalar
     DivideByFeature
+    DivideNumeric
     DivideNumericScalar
     Equal
     EqualScalar
@@ -135,6 +159,7 @@ Binary Transform Primitives
     ModuloNumeric
     ModuloNumericScalar
     MultiplyBoolean
+    MultiplyNumeric
     MultiplyNumericBoolean
     MultiplyNumericScalar
     NotEqual
@@ -170,6 +195,8 @@ Cumulative Transform Primitives
     CumMean
     CumMin
     CumMax
+    CumulativeTimeSinceLastFalse
+    CumulativeTimeSinceLastTrue
 
 
 Datetime Transform Primitives
@@ -186,6 +213,7 @@ Datetime Transform Primitives
     DistanceToHoliday
     Hour
     IsFederalHoliday
+    IsFirstWeekOfMonth
     IsLeapYear
     IsLunchTime
     IsMonthEnd
@@ -198,21 +226,24 @@ Datetime Transform Primitives
     IsYearStart
     Minute
     Month
+    NthWeekOfMonth
     PartOfDay
     Quarter
     Season
     Second
+    TimeSince
     Week
     Weekday
     Year
 
 
-Email and URL Transform Primitives
-**********************************
+Email, URL and File Transform Primitives
+****************************************
 .. autosummary::
     :toctree: generated/
 
     EmailAddressToDomain
+    FileExtension
     IsFreeEmailDomain
     URLToDomain
     URLToProtocol
@@ -241,8 +272,10 @@ General Transform Primitives
     NaturalLogarithm
     Negate
     Percentile
+    PercentChange
     RateOfChange
     SameAsPrevious
+    SavgolFilter
     Sine
     SquareRoot
     Tangent
@@ -260,6 +293,15 @@ Location Transform Primitives
     Latitude
     Longitude
 
+Name Transform Primitives
+*************************
+.. autosummary::
+   :toctree: generated/
+
+    FullNameToFirstName
+    FullNameToLastName
+    FullNameToTitle
+
 NaturalLanguage Transform Primitives
 ************************************
 .. autosummary::

docs/source/release_notes.rst

@@ -3,15 +3,17 @@
 Release Notes
 -------------
 
-.. Future Release
-  ==============
+Future Release
+==============
     * Enhancements
     * Fixes
     * Changes
     * Documentation Changes
+        * Update API Docs to include previously missing primitives (:pr:`2737`)
     * Testing Changes
 
-.. Thanks to the following people for contributing to this release:
+    Thanks to the following people for contributing to this release:
+    :user:`thehomebrewnerd`
 
 v1.31.0 May 14, 2024
 ====================

featuretools/primitives/standard/aggregation/has_no_duplicates.py

@@ -18,12 +18,12 @@ class HasNoDuplicates(AggregationPrimitive):
         >>> has_no_duplicates([1, 2, 3])
         True
 
-        `NaN`s are skipped by default.
+        NaNs are skipped by default.
 
         >>> has_no_duplicates([1, 2, 3, None, None])
         True
 
-        However, the way `NaN`s are treated can be controlled.
+        However, the way NaNs are treated can be controlled.
 
         >>> has_no_duplicates_skipna = HasNoDuplicates(skipna=False)
         >>> has_no_duplicates_skipna([1, 2, 3, None, None])

featuretools/primitives/standard/aggregation/n_most_common_frequency.py

@@ -10,8 +10,7 @@ class NMostCommonFrequency(AggregationPrimitive):
     """Determines the frequency of the n most common items.
 
     Args:
-        n (int): defines "n" in "n most common". Defaults to
-            3.
+        n (int): defines "n" in "n most common". Defaults to 3.
         skipna (bool): Determines if to use NA/null values.
             Defaults to True to skip NA/null.
 
@@ -31,13 +30,13 @@ class NMostCommonFrequency(AggregationPrimitive):
         >>> n_most_common_frequency([1, 1, 1, 2, 2, 3, 4, 4]).to_list()
         [3, 2, 2, 1]
 
-        `NaN`s are skipped by default.
+        NaNs are skipped by default.
 
         >>> n_most_common_frequency = NMostCommonFrequency(3)
         >>> n_most_common_frequency([1, 1, 1, 2, 2, 3, 4, 4, None, None, None]).to_list()
         [3, 2, 2]
 
-        However, the way `NaN`s are treated can be controlled.
+        However, the way NaNs are treated can be controlled.
 
         >>> n_most_common_frequency = NMostCommonFrequency(3, skipna=False)
         >>> n_most_common_frequency([1, 1, 1, 2, 2, 3, 4, 4, None, None, None]).to_list()

featuretools/primitives/standard/aggregation/num_false_since_last_true.py

@@ -6,14 +6,16 @@
 
 
 class NumFalseSinceLastTrue(AggregationPrimitive):
-    """Calculates the number of 'False' values since the last `True` value.
+    """Calculates the number of `False` values since the last `True` value.
+
     Description:
         From a series of Booleans, find the last record with a `True` value.
-        Return the count of 'False' values between that record and the end of
+        Return the count of `False` values between that record and the end of
         the series. Return nan if no values are `True`. Any nan values in the
-        input are ignored. A 'True' value in the last row will result in a
+        input are ignored. A `True` value in the last row will result in a
         count of 0.  Inputs are converted too booleans before calculating
         the result.
+
     Examples:
         >>> num_false_since_last_true = NumFalseSinceLastTrue()
         >>> num_false_since_last_true([True, False, True, False, False])

featuretools/primitives/standard/aggregation/num_true_since_last_false.py

@@ -6,13 +6,15 @@
 
 
 class NumTrueSinceLastFalse(AggregationPrimitive):
-    """Calculates the number of 'True' values since the last `False` value.
+    """Calculates the number of `True` values since the last `False` value.
+
     Description:
         From a series of Booleans, find the last record with a `False` value.
-        Return the count of 'True' values between that record and the end of
+        Return the count of `True` values between that record and the end of
         the series. Return nan if no values are `False`. Any nan values in the
-        input are ignored. A 'False' value in the last row will result in a
+        input are ignored. A `False` value in the last row will result in a
         count of 0.
+
     Examples:
         >>> num_true_since_last_false = NumTrueSinceLastFalse()
         >>> num_true_since_last_false([False, True, False, True, True])

featuretools/primitives/standard/aggregation/num_zero_crossings.py

@@ -7,11 +7,13 @@
 
 class NumZeroCrossings(AggregationPrimitive):
     """Determines the number of times a list crosses 0.
+
     Description:
         Given a list of numbers, return the number of times the value
         crosses 0. It is the number of times the value goes from a
         positive number to a negative number, or a negative number to
         a positive number. NaN values are ignored.
+
     Examples:
         >>> num_zero_crossings = NumZeroCrossings()
         >>> num_zero_crossings([1, -1, 2, -2, 3, -3])