CLN: De-privatize core.common funcs, remove unused

pandas/core/algorithms.py

@@ -262,7 +262,7 @@ def match(to_match, values, na_sentinel=-1):
     -------
     match : ndarray of integers
     """
-    values = com._asarray_tuplesafe(values)
+    values = com.asarray_tuplesafe(values)
     htable, _, values, dtype, ndtype = _get_hashtable_algo(values)
     to_match, _, _ = _ensure_data(to_match, dtype)
     table = htable(min(len(to_match), 1000000))
@@ -412,7 +412,7 @@ def isin(comps, values):
         # handle categoricals
         return comps._values.isin(values)
 
-    comps = com._values_from_object(comps)
+    comps = com.values_from_object(comps)
 
     comps, dtype, _ = _ensure_data(comps)
     values, _, _ = _ensure_data(values, dtype=dtype)

pandas/core/arrays/categorical.py

@@ -43,6 +43,7 @@
 
 import pandas.core.algorithms as algorithms
 
+from pandas.io.formats import console
 from pandas.io.formats.terminal import get_terminal_size
 from pandas.util._validators import validate_bool_kwarg, validate_fillna_kwargs
 from pandas.core.config import get_option
@@ -1887,7 +1888,7 @@ def _repr_categories_info(self):
             length=len(self.categories), dtype=dtype)
         width, height = get_terminal_size()
         max_width = get_option("display.width") or width
-        if com.in_ipython_frontend():
+        if console.in_ipython_frontend():
             # 0 = no breaks
             max_width = 0
         levstring = ""

pandas/core/arrays/datetimes.py

@@ -119,7 +119,7 @@ def wrapper(self, other):
                 self._assert_tzawareness_compat(other)
 
             result = meth(self, np.asarray(other))
-            result = com._values_from_object(result)
+            result = com.values_from_object(result)
 
             # Make sure to pass an array to result[...]; indexing with
             # Series breaks with older version of numpy

pandas/core/arrays/interval.py

@@ -984,7 +984,7 @@ def __array__(self, dtype=None):
         examples='',
     ))
     def to_tuples(self, na_tuple=True):
-        tuples = com._asarray_tuplesafe(zip(self.left, self.right))
+        tuples = com.asarray_tuplesafe(zip(self.left, self.right))
         if not na_tuple:
             # GH 18756
             tuples = np.where(~self.isna(), tuples, np.nan)

pandas/core/arrays/period.py

@@ -166,7 +166,7 @@ def _generate_range(cls, start, end, periods, freq, fields):
             freq = Period._maybe_convert_freq(freq)
 
         field_count = len(fields)
-        if com._count_not_none(start, end) > 0:
+        if com.count_not_none(start, end) > 0:
             if field_count > 0:
                 raise ValueError('Can either instantiate from fields '
                                  'or endpoints, but not both')
@@ -399,7 +399,7 @@ def _add_comparison_methods(cls):
 # Constructor Helpers
 
 def _get_ordinal_range(start, end, periods, freq, mult=1):
-    if com._count_not_none(start, end, periods) != 2:
+    if com.count_not_none(start, end, periods) != 2:
         raise ValueError('Of the three parameters: start, end, and periods, '
                          'exactly two must be specified')
 

pandas/core/arrays/timedeltas.py

@@ -80,7 +80,7 @@ def wrapper(self, other):
         else:
             other = type(self)(other).values
             result = meth(self, other)
-            result = com._values_from_object(result)
+            result = com.values_from_object(result)
 
             o_mask = np.array(isna(other))
             if o_mask.any():
@@ -151,7 +151,7 @@ def __new__(cls, values, freq=None, start=None, end=None, periods=None,
     @classmethod
     def _generate_range(cls, start, end, periods, freq, closed=None, **kwargs):
         # **kwargs are for compat with TimedeltaIndex, which includes `name`
-        if com._count_not_none(start, end, periods, freq) != 3:
+        if com.count_not_none(start, end, periods, freq) != 3:
             raise ValueError('Of the four parameters: start, end, periods, '
                              'and freq, exactly three must be specified')
 

pandas/core/base.py

@@ -581,7 +581,7 @@ def _aggregate_multiple_funcs(self, arg, _level, _axis):
                     results.append(colg.aggregate(a))
 
                     # make sure we find a good name
-                    name = com._get_callable_name(a) or a
+                    name = com.get_callable_name(a) or a
                     keys.append(name)
                 except (TypeError, DataError):
                     pass
@@ -856,7 +856,7 @@ def tolist(self):
         numpy.ndarray.tolist
         """
         if is_datetimelike(self._values):
-            return [com._maybe_box_datetimelike(x) for x in self._values]
+            return [com.maybe_box_datetimelike(x) for x in self._values]
         elif is_extension_array_dtype(self._values):
             return list(self._values)
         else: