CLN: strip out and form tools/concat.py from tools/merge.py

Author: jreback

pandas/__init__.py

@@ -42,10 +42,10 @@
 from pandas.sparse.api import *
 from pandas.stats.api import *
 from pandas.tseries.api import *
-from pandas.io.api import *
 from pandas.computation.api import *
 
-from pandas.tools.merge import (merge, concat, ordered_merge,
+from pandas.tools.concat import concat
+from pandas.tools.merge import (merge, ordered_merge,
                                 merge_ordered, merge_asof)
 from pandas.tools.pivot import pivot_table, crosstab
 from pandas.tools.plotting import scatter_matrix, plot_params
@@ -54,6 +54,8 @@
 from pandas.core.reshape import melt
 from pandas.util.print_versions import show_versions
 
+from pandas.io.api import *
+
 # define the testing framework
 import pandas.util.testing
 from pandas.util.nosetester import NoseTester

pandas/core/base.py

@@ -472,7 +472,7 @@ def _aggregate(self, arg, *args, **kwargs):
 
                 arg = new_arg
 
-            from pandas.tools.merge import concat
+            from pandas.tools.concat import concat
 
             def _agg_1dim(name, how, subset=None):
                 """
@@ -579,7 +579,7 @@ def _agg(arg, func):
         return result, True
 
     def _aggregate_multiple_funcs(self, arg, _level):
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
 
         if self.axis != 0:
             raise NotImplementedError("axis other than 0 is not supported")

pandas/core/categorical.py

@@ -1907,7 +1907,7 @@ def describe(self):
         counts = self.value_counts(dropna=False)
         freqs = counts / float(counts.sum())
 
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
         result = concat([counts, freqs], axis=1)
         result.columns = ['counts', 'freqs']
         result.index.name = 'categories'

pandas/core/frame.py

@@ -4402,7 +4402,7 @@ def append(self, other, ignore_index=False, verify_integrity=False):
             if (self.columns.get_indexer(other.columns) >= 0).all():
                 other = other.loc[:, self.columns]
 
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
         if isinstance(other, (list, tuple)):
             to_concat = [self] + other
         else:
@@ -4532,7 +4532,8 @@ def join(self, other, on=None, how='left', lsuffix='', rsuffix='',
 
     def _join_compat(self, other, on=None, how='left', lsuffix='', rsuffix='',
                      sort=False):
-        from pandas.tools.merge import merge, concat
+        from pandas.tools.merge import merge
+        from pandas.tools.concat import concat
 
         if isinstance(other, Series):
             if other.name is None:
@@ -4636,7 +4637,7 @@ def round(self, decimals=0, *args, **kwargs):
         Series.round
 
         """
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
 
         def _dict_round(df, decimals):
             for col, vals in df.iteritems():
@@ -5306,7 +5307,7 @@ def isin(self, values):
         """
         if isinstance(values, dict):
             from collections import defaultdict
-            from pandas.tools.merge import concat
+            from pandas.tools.concat import concat
             values = defaultdict(list, values)
             return concat((self.iloc[:, [i]].isin(values[col])
                            for i, col in enumerate(self.columns)), axis=1)

pandas/core/groupby.py

@@ -854,7 +854,7 @@ def _wrap_applied_output(self, *args, **kwargs):
         raise AbstractMethodError(self)
 
     def _concat_objects(self, keys, values, not_indexed_same=False):
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
 
         def reset_identity(values):
             # reset the identities of the components
@@ -3507,7 +3507,7 @@ def first_non_None_value(values):
                         # still a series
                         # path added as of GH 5545
                         elif all_indexed_same:
-                            from pandas.tools.merge import concat
+                            from pandas.tools.concat import concat
                             return concat(values)
 
                     if not all_indexed_same:
@@ -3540,7 +3540,7 @@ def first_non_None_value(values):
                         else:
                             # GH5788 instead of stacking; concat gets the
                             # dtypes correct
-                            from pandas.tools.merge import concat
+                            from pandas.tools.concat import concat
                             result = concat(values, keys=key_index,
                                             names=key_index.names,
                                             axis=self.axis).unstack()
@@ -3588,7 +3588,7 @@ def first_non_None_value(values):
                                         not_indexed_same=not_indexed_same)
 
     def _transform_general(self, func, *args, **kwargs):
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
 
         applied = []
         obj = self._obj_with_exclusions
@@ -3980,7 +3980,7 @@ def _iterate_column_groupbys(self):
                                          exclusions=self.exclusions)
 
     def _apply_to_column_groupbys(self, func):
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
         return concat(
             (func(col_groupby) for _, col_groupby
              in self._iterate_column_groupbys()),
@@ -4061,7 +4061,7 @@ def groupby_series(obj, col=None):
         if isinstance(obj, Series):
             results = groupby_series(obj)
         else:
-            from pandas.tools.merge import concat
+            from pandas.tools.concat import concat
             results = [groupby_series(obj[col], col) for col in obj.columns]
             results = concat(results, axis=1)
 

pandas/core/panel.py

@@ -1282,7 +1282,7 @@ def join(self, other, how='left', lsuffix='', rsuffix=''):
         -------
         joined : Panel
         """
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
 
         if isinstance(other, Panel):
             join_major, join_minor = self._get_join_index(other, how)

pandas/core/reshape.py

@@ -1194,7 +1194,7 @@ def get_dummies(data, prefix=None, prefix_sep='_', dummy_na=False,
     --------
     Series.str.get_dummies
     """
-    from pandas.tools.merge import concat
+    from pandas.tools.concat import concat
     from itertools import cycle
 
     if isinstance(data, DataFrame):

pandas/core/series.py

@@ -1588,7 +1588,7 @@ def append(self, to_append, ignore_index=False, verify_integrity=False):
 
 
         """
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
 
         if isinstance(to_append, (list, tuple)):
             to_concat = [self] + to_append

pandas/formats/format.py

@@ -165,7 +165,7 @@ def __init__(self, series, buf=None, length=True, header=True, index=True,
         self._chk_truncate()
 
     def _chk_truncate(self):
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
         max_rows = self.max_rows
         truncate_v = max_rows and (len(self.series) > max_rows)
         series = self.series
@@ -406,7 +406,7 @@ def _chk_truncate(self):
         Checks whether the frame should be truncated. If so, slices
         the frame up.
         """
-        from pandas.tools.merge import concat
+        from pandas.tools.concat import concat
 
         # Column of which first element is used to determine width of a dot col
         self.tr_size_col = -1

pandas/io/gbq.py

@@ -10,9 +10,7 @@
 import numpy as np
 
 from distutils.version import StrictVersion
-from pandas import compat
-from pandas.core.api import DataFrame
-from pandas.tools.merge import concat
+from pandas import compat, DataFrame, concat
 from pandas.core.common import PandasError
 from pandas.compat import lzip, bytes_to_str
 

pandas/io/pytables.py

@@ -26,13 +26,12 @@
 
 import pandas as pd
 from pandas import (Series, DataFrame, Panel, Panel4D, Index,
-                    MultiIndex, Int64Index, isnull)
+                    MultiIndex, Int64Index, isnull, concat,
+                    SparseSeries, SparseDataFrame, PeriodIndex,
+                    DatetimeIndex, TimedeltaIndex)
 from pandas.core import config
 from pandas.io.common import _stringify_path
-from pandas.sparse.api import SparseSeries, SparseDataFrame
 from pandas.sparse.array import BlockIndex, IntIndex
-from pandas.tseries.api import PeriodIndex, DatetimeIndex
-from pandas.tseries.tdi import TimedeltaIndex
 from pandas.core.base import StringMixin
 from pandas.formats.printing import adjoin, pprint_thing
 from pandas.core.common import _asarray_tuplesafe, PerformanceWarning
@@ -42,7 +41,6 @@
                                    _block2d_to_blocknd,
                                    _factor_indexer, _block_shape)
 from pandas.core.index import _ensure_index
-from pandas.tools.merge import concat
 from pandas import compat
 from pandas.compat import u_safe as u, PY3, range, lrange, string_types, filter
 from pandas.core.config import get_option

pandas/tests/groupby/test_groupby.py

@@ -6,16 +6,15 @@
 from numpy import nan
 
 from pandas import (date_range, bdate_range, Timestamp,
-                    isnull, Index, MultiIndex, DataFrame, Series)
+                    isnull, Index, MultiIndex, DataFrame, Series,
+                    concat, Panel)
 from pandas.core.common import UnsupportedFunctionCall
 from pandas.util.testing import (assert_panel_equal, assert_frame_equal,
                                  assert_series_equal, assert_almost_equal,
                                  assert_index_equal, assertRaisesRegexp)
 from pandas.compat import (range, long, lrange, StringIO, lmap, lzip, map, zip,
                            builtins, OrderedDict, product as cart_product)
 from pandas import compat
-from pandas.core.panel import Panel
-from pandas.tools.merge import concat
 from collections import defaultdict
 import pandas.core.common as com
 import numpy as np