CLN: move clip to core/generic (adds to Panel as well), related to (GH2747)

doc/source/api.rst

@@ -708,6 +708,9 @@ Computations / Descriptive Stats
    :toctree: generated/
 
    Panel.abs
+   Panel.clip
+   Panel.clip_lower
+   Panel.clip_upper
    Panel.count
    Panel.cummax
    Panel.cummin

doc/source/release.rst

@@ -260,6 +260,7 @@ See :ref:`Internal Refactoring<whatsnew_0130.refactoring>`
 - Refactor ``rename`` methods to core/generic.py; fixes ``Series.rename`` for (:issue:`4605`), and adds ``rename``
   with the same signature for ``Panel``
 - Series (for index) / Panel (for items) now as attribute access to its elements  (:issue:`1903`)
+- Refactor ``clip`` methods to core/generic.py (:issue:`4798`)
 - Refactor of ``_get_numeric_data/_get_bool_data`` to core/generic.py, allowing Series/Panel functionaility
 - Refactor of Series arithmetic with time-like objects (datetime/timedelta/time
   etc.) into a separate, cleaned up wrapper class. (:issue:`4613`)

doc/source/v0.13.0.txt

@@ -353,8 +353,9 @@ and behaviors. Series formerly subclassed directly from ``ndarray``. (:issue:`40
 - Refactor ``Series.reindex`` to core/generic.py (:issue:`4604`, :issue:`4618`), allow ``method=`` in reindexing
   on a Series to work
 - ``Series.copy`` no longer accepts the ``order`` parameter and is now consistent with ``NDFrame`` copy
-- Refactor ``rename`` methods to core/generic.py; fixes ``Series.rename`` for (:issue`4605`), and adds ``rename``
+- Refactor ``rename`` methods to core/generic.py; fixes ``Series.rename`` for (:issue:`4605`), and adds ``rename``
   with the same signature for ``Panel``
+- Refactor ``clip`` methods to core/generic.py (:issue:`4798`)
 - Refactor of ``_get_numeric_data/_get_bool_data`` to core/generic.py, allowing Series/Panel functionaility
 - ``Series`` (for index) / ``Panel`` (for items) now allow attribute access to its elements  (:issue:`1903`)
 

pandas/core/frame.py

@@ -4396,47 +4396,6 @@ def f(arr):
 
         data = self._get_numeric_data() if numeric_only else self
         return data.apply(f, axis=axis)
-
-    def clip(self, lower=None, upper=None):
-        """
-        Trim values at input threshold(s)
-
-        Parameters
-        ----------
-        lower : float, default None
-        upper : float, default None
-
-        Returns
-        -------
-        clipped : DataFrame
-        """
-
-        # GH 2747 (arguments were reversed)
-        if lower is not None and upper is not None:
-            lower, upper = min(lower, upper), max(lower, upper)
-
-        return self.apply(lambda x: x.clip(lower=lower, upper=upper))
-
-    def clip_upper(self, threshold):
-        """
-        Trim values above threshold
-
-        Returns
-        -------
-        clipped : DataFrame
-        """
-        return self.apply(lambda x: x.clip_upper(threshold))
-
-    def clip_lower(self, threshold):
-        """
-        Trim values below threshold
-
-        Returns
-        -------
-        clipped : DataFrame
-        """
-        return self.apply(lambda x: x.clip_lower(threshold))
-
     def rank(self, axis=0, numeric_only=None, method='average',
              na_option='keep', ascending=True):
         """

pandas/core/generic.py

@@ -1920,6 +1920,68 @@ def f(x):
 
         return obj
 
+    def clip(self, lower=None, upper=None, out=None):
+        """
+        Trim values at input threshold(s)
+
+        Parameters
+        ----------
+        lower : float, default None
+        upper : float, default None
+
+        Returns
+        -------
+        clipped : Series
+        """
+        if out is not None:  # pragma: no cover
+            raise Exception('out argument is not supported yet')
+
+        # GH 2747 (arguments were reversed)
+        if lower is not None and upper is not None:
+            lower, upper = min(lower, upper), max(lower, upper)
+
+        result = self
+        if lower is not None:
+            result = result.clip_lower(lower)
+        if upper is not None:
+            result = result.clip_upper(upper)
+
+        return result
+
+    def clip_upper(self, threshold):
+        """
+        Return copy of input with values above given value truncated
+
+        See also
+        --------
+        clip
+
+        Returns
+        -------
+        clipped : same type as input
+        """
+        if isnull(threshold):
+            raise ValueError("Cannot use an NA value as a clip threshold")
+
+        return self.where((self <= threshold) | isnull(self), threshold)
+
+    def clip_lower(self, threshold):
+        """
+        Return copy of the input with values below given value truncated
+
+        See also
+        --------
+        clip
+
+        Returns
+        -------
+        clipped : same type as input
+        """
+        if isnull(threshold):
+            raise ValueError("Cannot use an NA value as a clip threshold")
+
+        return self.where((self >= threshold) | isnull(self), threshold)
+
     def groupby(self, by=None, axis=0, level=None, as_index=True, sort=True,
                 group_keys=True, squeeze=False):
         """

pandas/core/series.py

@@ -2102,64 +2102,6 @@ def autocorr(self):
         """
         return self.corr(self.shift(1))
 
-    def clip(self, lower=None, upper=None, out=None):
-        """
-        Trim values at input threshold(s)
-
-        Parameters
-        ----------
-        lower : float, default None
-        upper : float, default None
-
-        Returns
-        -------
-        clipped : Series
-        """
-        if out is not None:  # pragma: no cover
-            raise Exception('out argument is not supported yet')
-
-        result = self
-        if lower is not None:
-            result = result.clip_lower(lower)
-        if upper is not None:
-            result = result.clip_upper(upper)
-
-        return result
-
-    def clip_upper(self, threshold):
-        """
-        Return copy of series with values above given value truncated
-
-        See also
-        --------
-        clip
-
-        Returns
-        -------
-        clipped : Series
-        """
-        if isnull(threshold):
-            raise ValueError("Cannot use an NA value as a clip threshold")
-
-        return self.where((self <= threshold) | isnull(self), threshold)
-
-    def clip_lower(self, threshold):
-        """
-        Return copy of series with values below given value truncated
-
-        See also
-        --------
-        clip
-
-        Returns
-        -------
-        clipped : Series
-        """
-        if isnull(threshold):
-            raise ValueError("Cannot use an NA value as a clip threshold")
-
-        return self.where((self >= threshold) | isnull(self), threshold)
-
     def dot(self, other):
         """
         Matrix multiplication with DataFrame or inner-product with Series objects