TST/CLN: reorg groupby tests

pandas/tests/groupby/common.py

@@ -0,0 +1,52 @@
+""" Base setup """
+
+import numpy as np
+from pandas.util import testing as tm
+from pandas import DataFrame, MultiIndex
+
+
+class MixIn(object):
+
+    def setUp(self):
+        self.ts = tm.makeTimeSeries()
+
+        self.seriesd = tm.getSeriesData()
+        self.tsd = tm.getTimeSeriesData()
+        self.frame = DataFrame(self.seriesd)
+        self.tsframe = DataFrame(self.tsd)
+
+        self.df = DataFrame(
+            {'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'foo'],
+             'B': ['one', 'one', 'two', 'three', 'two', 'two', 'one', 'three'],
+             'C': np.random.randn(8),
+             'D': np.random.randn(8)})
+
+        self.df_mixed_floats = DataFrame(
+            {'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'foo'],
+             'B': ['one', 'one', 'two', 'three', 'two', 'two', 'one', 'three'],
+             'C': np.random.randn(8),
+             'D': np.array(
+                 np.random.randn(8), dtype='float32')})
+
+        index = MultiIndex(levels=[['foo', 'bar', 'baz', 'qux'], ['one', 'two',
+                                                                  'three']],
+                           labels=[[0, 0, 0, 1, 1, 2, 2, 3, 3, 3],
+                                   [0, 1, 2, 0, 1, 1, 2, 0, 1, 2]],
+                           names=['first', 'second'])
+        self.mframe = DataFrame(np.random.randn(10, 3), index=index,
+                                columns=['A', 'B', 'C'])
+
+        self.three_group = DataFrame(
+            {'A': ['foo', 'foo', 'foo', 'foo', 'bar', 'bar', 'bar', 'bar',
+                   'foo', 'foo', 'foo'],
+             'B': ['one', 'one', 'one', 'two', 'one', 'one', 'one', 'two',
+                   'two', 'two', 'one'],
+             'C': ['dull', 'dull', 'shiny', 'dull', 'dull', 'shiny', 'shiny',
+                   'dull', 'shiny', 'shiny', 'shiny'],
+             'D': np.random.randn(11),
+             'E': np.random.randn(11),
+             'F': np.random.randn(11)})
+
+
+def assert_fp_equal(a, b):
+    assert (np.abs(a - b) < 1e-12).all()