version bump, test cases

CHANGELOG.rst

@@ -6,6 +6,11 @@ Changelog
 unreleased
 ==========
 
+0.26
+====
+- added .dir_dppd() to list just dppd registered verb, not those wrapping the object itself.
+- dp(DataFrame).insert() now returns self and is therefore chainable.
+
 0.25
 ====
 

setup.cfg

@@ -5,7 +5,7 @@
 [metadata]
 name = dppd
 description = A pythonic dplyr clone
-version=0.25
+version=0.26
 author = Florian Finkernagel
 author-email = [email protected]
 license = mit

src/dppd/__init__.py

@@ -4,6 +4,6 @@
 from . import single_verbs  # noqa:F401
 from . import non_df_verbs  # noqa:F401
 
-__version__ = "0.25"
+__version__ = "0.26"
 
 __all_ = [dppd, register_verb, register_type_methods_as_verbs, __version__]

src/dppd/base.py

@@ -80,7 +80,8 @@ def inner(*args, **kwargs):
                     if not self.ignore_redefine:
                         print(verb_registry.keys())
                         warnings.warn(f"redefining verb {real_name} for type {t}")
-                    if t in property_registry and real_name in property_registry[t]:
+                if t in property_registry and real_name in property_registry[t]:
+                    if not self.ignore_redefine:
                         warnings.warn(f"verb {real_name} shadows property for type {t}")
 
             outer.__doc__ == func.__doc__
@@ -139,7 +140,6 @@ def __init__(self, df, dppd_proxy, X, parent):
         elif isinstance(df, Dppd):
             df = df.df
         if df is not None and type(df) not in dppd_types:
-
             raise ValueError(
                 f"Dppd was passed a {type(df)} for which no properties have "
                 "been registered. That sounds like a bug."
@@ -177,7 +177,6 @@ def dir_dppd(self):
         new = total - old
         return sorted(new)
 
-
     def __call__(self, df=None):
         if df is None:
             if self.df is None:

tests/test_single_verbs.py

@@ -619,7 +619,7 @@ def test_summarise_non_tuple():
 
 def test_summarize_auto_name():
     actual = dp(mtcars).groupby("cyl").summarize(("hp", np.min)).pd
-    assert "hp_amin" in actual.columns or 'hp_min' in actual.columns
+    assert "hp_amin" in actual.columns or "hp_min" in actual.columns
 
 
 def test_do():
@@ -911,9 +911,7 @@ def test_iter_tuples_in_group_by():
     actual = {k: list(v) for (k, v) in dp(mtcars).groupby("cyl").itertuples()}
     should = {}
     for key, sub_df in mtcars.groupby("cyl"):
-        should[
-            key,
-        ] = list(sub_df.itertuples())
+        should[key, ] = list(sub_df.itertuples())
     assert actual == should
 
 
@@ -1002,4 +1000,17 @@ def test_dataframe_from_counter():
     actual = dp(c).to_frame(key_name="X", count_name="Y").pd
     actual = actual.sort_values("X").reset_index(drop=True)
     should = pd.DataFrame({"X": ["a", "l", "m"], "Y": [2, 2, 1]})
-    assert_frame_equal(actual, should, )
+    assert_frame_equal(
+        actual,
+        should,
+    )
+
+
+def test_dataframe_insert():
+    actual = (
+        dp(pd.DataFrame({"x": [1, 2, 3], "y": ["a", "b", "c"]}))
+        .insert(0, "a", [4, 5, 6])
+        .pd
+    )
+    should = pd.DataFrame({"a": [4, 5, 6], "x": [1, 2, 3], "y": ["a", "b", "c"]})
+    assert_frame_equal(actual, should)