REF: Remove many Panel tests (pandas-dev#25191)

Author: jbrockmendel

pandas/core/internals/blocks.py

@@ -268,20 +268,6 @@ def _slice(self, slicer):
         """ return a slice of my values """
         return self.values[slicer]
 
-    def reshape_nd(self, labels, shape, ref_items):
-        """
-        Parameters
-        ----------
-        labels : list of new axis labels
-        shape : new shape
-        ref_items : new ref_items
-
-        return a new block that is transformed to a nd block
-        """
-        return _block2d_to_blocknd(values=self.get_values().T,
-                                   placement=self.mgr_locs, shape=shape,
-                                   labels=labels, ref_items=ref_items)
-
     def getitem_block(self, slicer, new_mgr_locs=None):
         """
         Perform __getitem__-like, return result as block.

pandas/core/internals/managers.py

@@ -584,10 +584,6 @@ def comp(s, regex=False):
         bm._consolidate_inplace()
         return bm
 
-    def reshape_nd(self, axes, **kwargs):
-        """ a 2d-nd reshape operation on a BlockManager """
-        return self.apply('reshape_nd', axes=axes, **kwargs)
-
     def is_consolidated(self):
         """
         Return True if more than one block with the same dtype

pandas/io/pytables.py

@@ -197,7 +197,6 @@ class DuplicateWarning(Warning):
     u'appendable_multiseries': 'AppendableMultiSeriesTable',
     u'appendable_frame': 'AppendableFrameTable',
     u'appendable_multiframe': 'AppendableMultiFrameTable',
-    u'appendable_panel': 'AppendablePanelTable',
     u'worm': 'WORMTable',
     u'legacy_frame': 'LegacyFrameTable',
     u'legacy_panel': 'LegacyPanelTable',
@@ -4420,24 +4419,6 @@ def read(self, **kwargs):
         return df
 
 
-class AppendablePanelTable(AppendableTable):
-
-    """ suppor the new appendable table formats """
-    table_type = u'appendable_panel'
-    ndim = 3
-    obj_type = Panel
-
-    def get_object(self, obj):
-        """ these are written transposed """
-        if self.is_transposed:
-            obj = obj.transpose(*self.data_orientation)
-        return obj
-
-    @property
-    def is_transposed(self):
-        return self.data_orientation != tuple(range(self.ndim))
-
-
 def _reindex_axis(obj, axis, labels, other=None):
     ax = obj._get_axis(axis)
     labels = ensure_index(labels)

pandas/tests/dtypes/test_missing.py

@@ -2,7 +2,7 @@
 
 from datetime import datetime
 from decimal import Decimal
-from warnings import catch_warnings, filterwarnings, simplefilter
+from warnings import catch_warnings, filterwarnings
 
 import numpy as np
 import pytest
@@ -94,15 +94,6 @@ def test_isna_isnull(self, isna_f):
             expected = df.apply(isna_f)
             tm.assert_frame_equal(result, expected)
 
-        # panel
-        with catch_warnings(record=True):
-            simplefilter("ignore", FutureWarning)
-            for p in [tm.makePanel(), tm.makePeriodPanel(),
-                      tm.add_nans(tm.makePanel())]:
-                result = isna_f(p)
-                expected = p.apply(isna_f)
-                tm.assert_panel_equal(result, expected)
-
     def test_isna_lists(self):
         result = isna([[False]])
         exp = np.array([[False]])

pandas/tests/frame/test_query_eval.py

@@ -14,7 +14,6 @@
 from pandas import DataFrame, Index, MultiIndex, Series, date_range
 from pandas.core.computation.check import _NUMEXPR_INSTALLED
 from pandas.tests.frame.common import TestData
-import pandas.util.testing as tm
 from pandas.util.testing import (
     assert_frame_equal, assert_series_equal, makeCustomDataframe as mkdf)
 
@@ -355,13 +354,6 @@ def to_series(mi, level):
             else:
                 raise AssertionError("object must be a Series or Index")
 
-    @pytest.mark.filterwarnings("ignore::FutureWarning")
-    def test_raise_on_panel_with_multiindex(self, parser, engine):
-        p = tm.makePanel(7)
-        p.items = tm.makeCustomIndex(len(p.items), nlevels=2)
-        with pytest.raises(NotImplementedError):
-            pd.eval('p + 1', parser=parser, engine=engine)
-
 
 @td.skip_if_no_ne
 class TestDataFrameQueryNumExprPandas(object):

pandas/tests/groupby/test_groupby.py

@@ -1218,26 +1218,6 @@ def test_groupby_nat_exclude():
             grouped.get_group(pd.NaT)
 
 
-@pytest.mark.filterwarnings("ignore:\\nPanel:FutureWarning")
-def test_sparse_friendly(df):
-    sdf = df[['C', 'D']].to_sparse()
-    panel = tm.makePanel()
-    tm.add_nans(panel)
-
-    def _check_work(gp):
-        gp.mean()
-        gp.agg(np.mean)
-        dict(iter(gp))
-
-    # it works!
-    _check_work(sdf.groupby(lambda x: x // 2))
-    _check_work(sdf['C'].groupby(lambda x: x // 2))
-    _check_work(sdf.groupby(df['A']))
-
-    # do this someday
-    # _check_work(panel.groupby(lambda x: x.month, axis=1))
-
-
 def test_groupby_2d_malformed():
     d = DataFrame(index=lrange(2))
     d['group'] = ['g1', 'g2']

pandas/tests/indexing/test_chaining_and_caching.py

@@ -357,7 +357,6 @@ def check(result, expected):
         check(result4, expected)
 
     @pytest.mark.filterwarnings("ignore::DeprecationWarning")
-    @pytest.mark.filterwarnings("ignore:\\nPanel:FutureWarning")
     def test_cache_updating(self):
         # GH 4939, make sure to update the cache on setitem
 
@@ -367,12 +366,6 @@ def test_cache_updating(self):
         assert "Hello Friend" in df['A'].index
         assert "Hello Friend" in df['B'].index
 
-        panel = tm.makePanel()
-        panel.ix[0]  # get first item into cache
-        panel.ix[:, :, 'A+1'] = panel.ix[:, :, 'A'] + 1
-        assert "A+1" in panel.ix[0].columns
-        assert "A+1" in panel.ix[1].columns
-
         # 10264
         df = DataFrame(np.zeros((5, 5), dtype='int64'), columns=[
                        'a', 'b', 'c', 'd', 'e'], index=range(5))

pandas/tests/io/test_excel.py

@@ -5,7 +5,6 @@
 from functools import partial
 import os
 import warnings
-from warnings import catch_warnings
 
 import numpy as np
 from numpy import nan
@@ -2382,15 +2381,12 @@ def check_called(func):
             assert isinstance(writer, DummyClass)
             df = tm.makeCustomDataframe(1, 1)
 
-            with catch_warnings(record=True):
-                panel = tm.makePanel()
-                func = lambda: df.to_excel('something.test')
-                check_called(func)
-                check_called(lambda: panel.to_excel('something.test'))
-                check_called(lambda: df.to_excel('something.xlsx'))
-                check_called(
-                    lambda: df.to_excel(
-                        'something.xls', engine='dummy'))
+            func = lambda: df.to_excel('something.test')
+            check_called(func)
+            check_called(lambda: df.to_excel('something.xlsx'))
+            check_called(
+                lambda: df.to_excel(
+                    'something.xls', engine='dummy'))
 
 
 @pytest.mark.parametrize('engine', [