Merge pull request #10892 from jreback/depr2

DEPR: Bunch o deprecation removals part 2

doc/source/whatsnew/v0.17.0.txt

@@ -665,6 +665,7 @@ Deprecations
   ``DataFrame.add(other, fill_value=0)`` and ``DataFrame.mul(other, fill_value=1.)``
   (:issue:`10735`).
 - ``TimeSeries`` deprecated in favor of ``Series`` (note that this has been alias since 0.13.0), (:issue:`10890`)
+- ``WidePanel`` deprecated in favor of ``Panel``, ``LongPanel`` in favor of ``DataFrame`` (note these have been aliases since < 0.11.0), (:issue:`10892`)
 
 .. _whatsnew_0170.prior_deprecations:
 
@@ -705,6 +706,15 @@ Removal of prior version deprecations/changes
 
       df.add(df.A,axis='index')
 
+
+
+
+- Remove ``table`` keyword in ``HDFStore.put/append``, in favor of using ``format=`` (:issue:`4645`)
+- Remove ``kind`` in ``read_excel/ExcelFile`` as its unused (:issue:`4712`)
+- Remove ``infer_type`` keyword from ``pd.read_html`` as its unused (:issue:`4770`, :issue:`7032`)
+- Remove ``offset`` and ``timeRule`` keywords from ``Series.tshift/shift``, in favor of ``freq`` (:issue:`4853`, :issue:`4864`)
+- Remove ``pd.load/pd.save`` aliases in favor of ``pd.to_pickle/pd.read_pickle`` (:issue:`3787`)
+
 .. _whatsnew_0170.performance:
 
 Performance Improvements

pandas/core/api.py

@@ -12,14 +12,12 @@
 
 from pandas.core.series import Series, TimeSeries
 from pandas.core.frame import DataFrame
-from pandas.core.panel import Panel
+from pandas.core.panel import Panel, WidePanel
 from pandas.core.panel4d import Panel4D
 from pandas.core.groupby import groupby
 from pandas.core.reshape import (pivot_simple as pivot, get_dummies,
                                  lreshape, wide_to_long)
 
-WidePanel = Panel
-
 from pandas.core.indexing import IndexSlice
 from pandas.tseries.offsets import DateOffset
 from pandas.tseries.tools import to_datetime
@@ -29,7 +27,6 @@
 from pandas.tseries.period import Period, PeriodIndex
 
 # legacy
-from pandas.core.common import save, load  # deprecated, remove in 0.13
 import pandas.core.datetools as datetools
 
 from pandas.core.config import (get_option, set_option, reset_option,

pandas/core/common.py

@@ -3313,46 +3313,6 @@ def console_encode(object, **kwds):
     return pprint_thing_encoded(object,
                                 get_option("display.encoding"))
 
-
-def load(path):  # TODO remove in 0.13
-    """
-    Load pickled pandas object (or any other pickled object) from the specified
-    file path
-
-    Warning: Loading pickled data received from untrusted sources can be
-    unsafe. See: http://docs.python.org/2.7/library/pickle.html
-
-    Parameters
-    ----------
-    path : string
-        File path
-
-    Returns
-    -------
-    unpickled : type of object stored in file
-    """
-    import warnings
-    warnings.warn("load is deprecated, use read_pickle", FutureWarning)
-    from pandas.io.pickle import read_pickle
-    return read_pickle(path)
-
-
-def save(obj, path):  # TODO remove in 0.13
-    """
-    Pickle (serialize) object to input file path
-
-    Parameters
-    ----------
-    obj : any object
-    path : string
-        File path
-    """
-    import warnings
-    warnings.warn("save is deprecated, use obj.to_pickle", FutureWarning)
-    from pandas.io.pickle import to_pickle
-    return to_pickle(obj, path)
-
-
 def _maybe_match_name(a, b):
     a_has = hasattr(a, 'name')
     b_has = hasattr(b, 'name')

pandas/core/datetools.py

@@ -41,23 +41,3 @@
 isBusinessDay = BDay().onOffset
 isMonthEnd = MonthEnd().onOffset
 isBMonthEnd = BMonthEnd().onOffset
-
-
-def _resolve_offset(freq, kwds):
-    if 'timeRule' in kwds or 'offset' in kwds:
-        offset = kwds.get('offset', None)
-        offset = kwds.get('timeRule', offset)
-        if isinstance(offset, compat.string_types):
-            offset = getOffset(offset)
-        warn = True
-    else:
-        offset = freq
-        warn = False
-
-    if warn:
-        import warnings
-        warnings.warn("'timeRule' and 'offset' parameters are deprecated,"
-                      " please use 'freq' instead",
-                      FutureWarning)
-
-    return offset

pandas/core/frame.py

@@ -2618,9 +2618,9 @@ def fillna(self, value=None, method=None, axis=None, inplace=False,
                                              **kwargs)
 
     @Appender(_shared_docs['shift'] % _shared_doc_kwargs)
-    def shift(self, periods=1, freq=None, axis=0, **kwargs):
+    def shift(self, periods=1, freq=None, axis=0):
         return super(DataFrame, self).shift(periods=periods, freq=freq,
-                                            axis=axis, **kwargs)
+                                            axis=axis)
 
     def set_index(self, keys, drop=True, append=False, inplace=False,
                   verify_integrity=False):

pandas/core/generic.py

@@ -1006,20 +1006,6 @@ def to_pickle(self, path):
         from pandas.io.pickle import to_pickle
         return to_pickle(self, path)
 
-    def save(self, path):  # TODO remove in 0.14
-        "Deprecated. Use to_pickle instead"
-        import warnings
-        from pandas.io.pickle import to_pickle
-        warnings.warn("save is deprecated, use to_pickle", FutureWarning)
-        return to_pickle(self, path)
-
-    def load(self, path):  # TODO remove in 0.14
-        "Deprecated. Use read_pickle instead."
-        import warnings
-        from pandas.io.pickle import read_pickle
-        warnings.warn("load is deprecated, use pd.read_pickle", FutureWarning)
-        return read_pickle(path)
-
     def to_clipboard(self, excel=None, sep=None, **kwargs):
         """
         Attempt to write text representation of object to the system clipboard
@@ -3806,15 +3792,15 @@ def mask(self, cond, other=np.nan, inplace=False, axis=None, level=None,
         shifted : %(klass)s
     """)
     @Appender(_shared_docs['shift'] % _shared_doc_kwargs)
-    def shift(self, periods=1, freq=None, axis=0, **kwargs):
+    def shift(self, periods=1, freq=None, axis=0):
         if periods == 0:
             return self
 
         block_axis = self._get_block_manager_axis(axis)
-        if freq is None and not len(kwargs):
+        if freq is None:
             new_data = self._data.shift(periods=periods, axis=block_axis)
         else:
-            return self.tshift(periods, freq, **kwargs)
+            return self.tshift(periods, freq)
 
         return self._constructor(new_data).__finalize__(self)
 
@@ -3854,7 +3840,7 @@ def slice_shift(self, periods=1, axis=0):
 
         return new_obj.__finalize__(self)
 
-    def tshift(self, periods=1, freq=None, axis=0, **kwargs):
+    def tshift(self, periods=1, freq=None, axis=0):
         """
         Shift the time index, using the index's frequency if available
 
@@ -3877,7 +3863,6 @@ def tshift(self, periods=1, freq=None, axis=0, **kwargs):
         -------
         shifted : NDFrame
         """
-        from pandas.core.datetools import _resolve_offset
 
         index = self._get_axis(axis)
         if freq is None:
@@ -3893,24 +3878,22 @@ def tshift(self, periods=1, freq=None, axis=0, **kwargs):
         if periods == 0:
             return self
 
-        offset = _resolve_offset(freq, kwargs)
-
-        if isinstance(offset, string_types):
-            offset = datetools.to_offset(offset)
+        if isinstance(freq, string_types):
+            freq = datetools.to_offset(freq)
 
         block_axis = self._get_block_manager_axis(axis)
         if isinstance(index, PeriodIndex):
-            orig_offset = datetools.to_offset(index.freq)
-            if offset == orig_offset:
+            orig_freq = datetools.to_offset(index.freq)
+            if freq == orig_freq:
                 new_data = self._data.copy()
                 new_data.axes[block_axis] = index.shift(periods)
             else:
                 msg = ('Given freq %s does not match PeriodIndex freq %s' %
-                       (offset.rule_code, orig_offset.rule_code))
+                       (freq.rule_code, orig_freq.rule_code))
                 raise ValueError(msg)
         else:
             new_data = self._data.copy()
-            new_data.axes[block_axis] = index.shift(periods, offset)
+            new_data.axes[block_axis] = index.shift(periods, freq)
 
         return self._constructor(new_data).__finalize__(self)
 

pandas/core/panel.py

@@ -1210,8 +1210,8 @@ def shift(self, periods=1, freq=None, axis='major'):
 
         return super(Panel, self).slice_shift(periods, axis=axis)
 
-    def tshift(self, periods=1, freq=None, axis='major', **kwds):
-        return super(Panel, self).tshift(periods, freq, axis, **kwds)
+    def tshift(self, periods=1, freq=None, axis='major'):
+        return super(Panel, self).tshift(periods, freq, axis)
 
     def join(self, other, how='left', lsuffix='', rsuffix=''):
         """
@@ -1509,5 +1509,23 @@ def f(self, other, axis=0):
 Panel._add_aggregate_operations()
 Panel._add_numeric_operations()
 
-WidePanel = Panel
-LongPanel = DataFrame
+# legacy
+class WidePanel(Panel):
+
+    def __init__(self, *args, **kwargs):
+
+        # deprecation, #10892
+        warnings.warn("WidePanel is deprecated. Please use Panel",
+                      FutureWarning, stacklevel=2)
+
+        super(WidePanel, self).__init__(*args, **kwargs)
+
+class LongPanel(DataFrame):
+
+    def __init__(self, *args, **kwargs):
+
+        # deprecation, #10892
+        warnings.warn("LongPanel is deprecated. Please use DataFrame",
+                      FutureWarning, stacklevel=2)
+
+        super(LongPanel, self).__init__(*args, **kwargs)

pandas/core/series.py

@@ -2182,9 +2182,9 @@ def fillna(self, value=None, method=None, axis=None, inplace=False,
                                           **kwargs)
 
     @Appender(generic._shared_docs['shift'] % _shared_doc_kwargs)
-    def shift(self, periods=1, freq=None, axis=0, **kwargs):
+    def shift(self, periods=1, freq=None, axis=0):
         return super(Series, self).shift(periods=periods, freq=freq,
-                                         axis=axis, **kwargs)
+                                         axis=axis)
 
     def reindex_axis(self, labels, axis=0, **kwargs):
         """ for compatibility with higher dims """