ENH resample().interpolate() #12925

Author: Benoît Vinot

doc/source/whatsnew/v0.18.1.txt

@@ -94,8 +94,12 @@ Other Enhancements
    idx = pd.Index(['a|b', 'a|c', 'b|c'])
    idx.str.get_dummies('|')
 
+
 - ``pd.crosstab()`` has gained a ``normalize`` argument for normalizing frequency tables (:issue:`12569`). Examples in the updated docs :ref:`here <reshaping.crosstabulations>`.
 
+- ``.resample(..).interpolate()`` is now supported (:issue:`12925`)
+
+
 
 .. _whatsnew_0181.sparse:
 

pandas/core/generic.py

@@ -3445,9 +3445,7 @@ def replace(self, to_replace=None, value=None, inplace=False, limit=None,
         else:
             return self._constructor(new_data).__finalize__(self)
 
-    def interpolate(self, method='linear', axis=0, limit=None, inplace=False,
-                    limit_direction='forward', downcast=None, **kwargs):
-        """
+    _shared_docs['interpolate'] = """
         Interpolate values according to different methods.
 
         Please note that only ``method='linear'`` is supported for
@@ -3521,6 +3519,14 @@ def interpolate(self, method='linear', axis=0, limit=None, inplace=False,
         dtype: float64
 
         """
+
+    @Appender(_shared_docs['interpolate'] % _shared_doc_kwargs)
+    def interpolate(self, method='linear', axis=0, limit=None, inplace=False,
+                    limit_direction='forward', downcast=None, **kwargs):
+        """
+        .. versionadded:: 0.18.1
+            ``.resample(..).interpolate()`` is now supported (:issue:`12925`)
+        """
         if self.ndim > 2:
             raise NotImplementedError("Interpolate has not been implemented "
                                       "on Panel and Panel 4D objects.")

pandas/tseries/resample.py

@@ -21,6 +21,10 @@
 import pandas.lib as lib
 import pandas.tslib as tslib
 
+from pandas.util.decorators import Appender
+from pandas.core.generic import _shared_docs
+_shared_docs_kwargs = dict()
+
 
 class Resampler(_GroupBy):
 
@@ -448,6 +452,15 @@ def fillna(self, method, limit=None):
         """
         return self._upsample(method, limit=limit)
 
+    @Appender(_shared_docs['interpolate'] % _shared_docs_kwargs)
+    def interpolate(self, method='linear', axis=0, limit=None, inplace=False,
+                    limit_direction='forward', downcast=None, **kwargs):
+        result = self._upsample(None)
+        return result.interpolate(method=method, axis=axis, limit=limit,
+                                  inplace=inplace,
+                                  limit_direction=limit_direction,
+                                  downcast=downcast, **kwargs)
+
     def asfreq(self):
         """
         return the values at the new freq,

pandas/tseries/tests/test_resample.py

@@ -620,6 +620,13 @@ def test_asfreq_upsample(self):
         expected = frame.reindex(new_index)
         assert_frame_equal(result, expected)
 
+    def test_resample_interpolate(self):
+        # # 12925
+        df = self.create_series().to_frame('value')
+        assert_frame_equal(
+            df.resample('1T').asfreq().interpolate(),
+            df.resample('1T').interpolate())
+
 
 class TestDatetimeIndex(Base, tm.TestCase):
     _multiprocess_can_split_ = True