[fix] remove restrictions for mutate/summarise

janitor/functions/mutate.py

@@ -33,7 +33,11 @@ def mutate(
     mutate creates new columns that are functions of existing columns.
     It can also modify columns (if the name is the same as an existing column).
 
-    The argument provided to *args* should be either a dictionary, a tuple or a callable.
+    The argument provided to *args* should be either
+    a dictionary, a callable or a tuple; however,
+    anything can be passed, as long as it can
+    be aligned with the original DataFrame.
+
 
     - **dictionary argument**:
     If the argument is a dictionary,
@@ -193,10 +197,6 @@ def mutate(
 
 @singledispatch
 def _mutator(arg, df, by):
-    if not callable(arg):
-        raise NotImplementedError(
-            f"janitor.mutate is not supported for {type(arg)}"
-        )
     if by is None:
         val = df
     else:
@@ -212,7 +212,7 @@ def _mutator(arg, df, by):
             df[column] = outcome[column]
         return df
     raise TypeError(
-        "The output from a callable should be a named Series or a DataFrame"
+        "The output from the mutation should be a named Series or a DataFrame"
     )
 
 

janitor/functions/summarise.py

@@ -8,6 +8,7 @@
 import pandas as pd
 import pandas_flavor as pf
 from pandas.api.types import is_scalar
+from pandas.core.common import apply_if_callable
 from pandas.core.groupby.generic import DataFrameGroupBy
 
 from janitor.functions.select import get_index_labels
@@ -33,7 +34,10 @@ def summarise(
     the output will have a single row
     summarising all observations in the input.
 
-    The argument provided to *args* should be either a dictionary or a tuple.
+    The argument provided to *args* should be either
+    a dictionary, a callable or a tuple; however,
+    anything can be passed, as long as it fits
+    within pandas' aggregation semantics.
 
     - **dictionary argument**:
     If the argument is a dictionary,
@@ -187,15 +191,11 @@ def summarise(
     values = map(is_scalar, dictionary.values())
     if all(values):
         return pd.Series(dictionary)
-    return pd.concat(dictionary, axis=1, sort=False, copy=False)
+    return pd.concat(dictionary, axis="columns", sort=False, copy=False)
 
 
 @singledispatch
 def _mutator(arg, df, by):
-    if not callable(arg):
-        raise NotImplementedError(
-            f"janitor.summarise is not supported for {type(arg)}"
-        )
     if by is None:
         val = df
     else:
@@ -205,9 +205,8 @@ def _mutator(arg, df, by):
         if not outcome.name:
             raise ValueError("Ensure the pandas Series object has a name")
         return {outcome.name: outcome}
-    # assumption: should return a DataFrame
-    outcome = {key: outcome[key] for key in outcome}
-    return outcome
+    # assumption: a mapping - DataFrame/dictionary/...
+    return {**outcome}
 
 
 @_mutator.register(dict)
@@ -247,7 +246,7 @@ def _process_maybe_callable(func: callable, obj):
     try:
         column = obj.agg(func)
     except:  # noqa: E722
-        column = func(obj)
+        column = apply_if_callable(maybe_callable=func, obj=obj)
     return column
 
 

tests/functions/test_mutate.py

@@ -48,7 +48,7 @@ def test_mutate_callable(df_mutate):
     "Raise if output of callable is not a pandas Series/DataFrame"
     with pytest.raises(
         TypeError,
-        match="The output from a callable should be a named Series or a DataFrame",
+        match="The output from the mutation should be a named Series or a DataFrame",
     ):
         df_mutate.mutate(lambda df: np.sum(df["avg_run"]))
 
@@ -64,7 +64,8 @@ def test_mutate_wrong_arg(df_mutate):
     Raise if wrong arg is provided
     """
     with pytest.raises(
-        NotImplementedError, match="janitor.mutate is not supported for.+"
+        TypeError,
+        match="The output from the mutation should be a named Series or a DataFrame",
     ):
         df_mutate.mutate(1)
 

tests/functions/test_summarise.py

@@ -13,16 +13,6 @@ def df_summarise():
     return pd.DataFrame(data)
 
 
-def test_summarise_wrong_arg(df_summarise):
-    """
-    Raise if wrong arg is provided
-    """
-    with pytest.raises(
-        NotImplementedError, match="janitor.summarise is not supported for.+"
-    ):
-        df_summarise.summarise(1)
-
-
 def test_mutate_callable_series_unnamed(df_summarise):
     """Test output for callable"""
     with pytest.raises(