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[DataFrame] Test bugfixes (#2111)
This commit is contained in:
Devin Petersohn
committed by
Robert Nishihara
Robert Nishihara
parent
f1fc373de7
commit
317c9450e7
@@ -1563,7 +1563,7 @@ class DataFrame(object):
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Returns:
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A new DataFrame with the Divide applied.
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"""
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return self._operator_helper(pd.DataFrame.add, other, axis, level,
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return self._operator_helper(pd.DataFrame.div, other, axis, level,
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fill_value)
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def divide(self, other, axis='columns', level=None, fill_value=None):
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@@ -3991,7 +3991,7 @@ class DataFrame(object):
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self._col_partitions)
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new_columns = self.columns
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new_index = self.index.sort_values()
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new_index = self.index.sort_values(ascending=ascending)
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new_row_parts = None
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else:
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columns = self.columns
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@@ -3999,7 +3999,7 @@ class DataFrame(object):
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lambda df: _sort_helper(df, columns, axis, *args),
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self._row_partitions)
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new_columns = self.columns.sort_values()
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new_columns = self.columns.sort_values(ascending=ascending)
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new_index = self.index
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new_column_parts = None
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@@ -861,27 +861,27 @@ def test_inter_df_math(op, simple=False):
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pandas_df = pd.DataFrame({"col1": [0, 1, 2, 3], "col2": [4, 5, 6, 7],
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"col3": [8, 9, 0, 1], "col4": [2, 4, 5, 6]})
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ray_df_equals_pandas(getattr(ray_df, op)(ray_df),
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getattr(pandas_df, op)(pandas_df))
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ray_df_equals_pandas(getattr(ray_df, op)(4),
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getattr(pandas_df, op)(4))
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ray_df_equals_pandas(getattr(ray_df, op)(4.0),
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getattr(pandas_df, op)(4.0))
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assert ray_df_equals_pandas(getattr(ray_df, op)(ray_df),
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getattr(pandas_df, op)(pandas_df))
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assert ray_df_equals_pandas(getattr(ray_df, op)(4),
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getattr(pandas_df, op)(4))
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assert ray_df_equals_pandas(getattr(ray_df, op)(4.0),
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getattr(pandas_df, op)(4.0))
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ray_df2 = rdf.DataFrame({"A": [0, 2], "col1": [0, 19], "col2": [1, 1]})
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pandas_df2 = pd.DataFrame({"A": [0, 2], "col1": [0, 19], "col2": [1, 1]})
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ray_df_equals_pandas(getattr(ray_df, op)(ray_df2),
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getattr(pandas_df, op)(pandas_df2))
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assert ray_df_equals_pandas(getattr(ray_df, op)(ray_df2),
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getattr(pandas_df, op)(pandas_df2))
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list_test = [0, 1, 2, 4]
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if not simple:
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ray_df_equals_pandas(getattr(ray_df, op)(list_test, axis=1),
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getattr(pandas_df, op)(list_test, axis=1))
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assert ray_df_equals_pandas(getattr(ray_df, op)(list_test, axis=1),
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getattr(pandas_df, op)(list_test, axis=1))
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ray_df_equals_pandas(getattr(ray_df, op)(list_test, axis=0),
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getattr(pandas_df, op)(list_test, axis=0))
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assert ray_df_equals_pandas(getattr(ray_df, op)(list_test, axis=0),
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getattr(pandas_df, op)(list_test, axis=0))
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@pytest.fixture
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@@ -892,18 +892,18 @@ def test_comparison_inter_ops(op):
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pandas_df = pd.DataFrame({"col1": [0, 1, 2, 3], "col2": [4, 5, 6, 7],
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"col3": [8, 9, 0, 1], "col4": [2, 4, 5, 6]})
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ray_df_equals_pandas(getattr(ray_df, op)(ray_df),
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getattr(pandas_df, op)(pandas_df))
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ray_df_equals_pandas(getattr(ray_df, op)(4),
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getattr(pandas_df, op)(4))
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ray_df_equals_pandas(getattr(ray_df, op)(4.0),
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getattr(pandas_df, op)(4.0))
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assert ray_df_equals_pandas(getattr(ray_df, op)(ray_df),
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getattr(pandas_df, op)(pandas_df))
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assert ray_df_equals_pandas(getattr(ray_df, op)(4),
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getattr(pandas_df, op)(4))
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assert ray_df_equals_pandas(getattr(ray_df, op)(4.0),
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getattr(pandas_df, op)(4.0))
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ray_df2 = rdf.DataFrame({"A": [0, 2], "col1": [0, 19], "col2": [1, 1]})
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pandas_df2 = pd.DataFrame({"A": [0, 2], "col1": [0, 19], "col2": [1, 1]})
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ray_df_equals_pandas(getattr(ray_df2, op)(ray_df2),
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getattr(pandas_df2, op)(pandas_df2))
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assert ray_df_equals_pandas(getattr(ray_df2, op)(ray_df2),
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getattr(pandas_df2, op)(pandas_df2))
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@pytest.fixture
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@@ -914,10 +914,10 @@ def test_inter_df_math_right_ops(op):
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pandas_df = pd.DataFrame({"col1": [0, 1, 2, 3], "col2": [4, 5, 6, 7],
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"col3": [8, 9, 0, 1], "col4": [2, 4, 5, 6]})
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ray_df_equals_pandas(getattr(ray_df, op)(4),
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getattr(pandas_df, op)(4))
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ray_df_equals_pandas(getattr(ray_df, op)(4.0),
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getattr(pandas_df, op)(4.0))
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assert ray_df_equals_pandas(getattr(ray_df, op)(4),
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getattr(pandas_df, op)(4))
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assert ray_df_equals_pandas(getattr(ray_df, op)(4.0),
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getattr(pandas_df, op)(4.0))
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def test_add():
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@@ -1938,14 +1938,14 @@ def test_fillna_datetime_columns(num_partitions=2):
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@pytest.fixture
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def test_filter(ray_df, pandas_df, by):
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ray_df_equals_pandas(ray_df.filter(items=by['items']),
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pandas_df.filter(items=by['items']))
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assert ray_df_equals_pandas(ray_df.filter(items=by['items']),
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pandas_df.filter(items=by['items']))
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ray_df_equals_pandas(ray_df.filter(regex=by['regex']),
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pandas_df.filter(regex=by['regex']))
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assert ray_df_equals_pandas(ray_df.filter(regex=by['regex']),
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pandas_df.filter(regex=by['regex']))
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ray_df_equals_pandas(ray_df.filter(like=by['like']),
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pandas_df.filter(like=by['like']))
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assert ray_df_equals_pandas(ray_df.filter(like=by['like']),
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pandas_df.filter(like=by['like']))
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def test_first():
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@@ -2008,7 +2008,7 @@ def test_gt():
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@pytest.fixture
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def test_head(ray_df, pandas_df, n=5):
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ray_df_equals_pandas(ray_df.head(n), pandas_df.head(n))
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assert ray_df_equals_pandas(ray_df.head(n), pandas_df.head(n))
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def test_hist():
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@@ -2129,7 +2129,7 @@ def test_join():
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for how in join_types:
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ray_join = ray_df.join(ray_df2, how=how)
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pandas_join = pandas_df.join(pandas_df2, how=how)
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ray_df_equals_pandas(ray_join, pandas_join)
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assert ray_df_equals_pandas(ray_join, pandas_join)
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ray_df3 = rdf.DataFrame({"col7": [1, 2, 3, 5, 6, 7, 8]})
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@@ -2139,7 +2139,7 @@ def test_join():
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for how in join_types:
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ray_join = ray_df.join([ray_df2, ray_df3], how=how)
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pandas_join = pandas_df.join([pandas_df2, pandas_df3], how=how)
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ray_df_equals_pandas(ray_join, pandas_join)
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assert ray_df_equals_pandas(ray_join, pandas_join)
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def test_kurt():
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@@ -2408,7 +2408,7 @@ def test_pop(ray_df, pandas_df):
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ray_popped = temp_ray_df.pop('col2')
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pandas_popped = temp_pandas_df.pop('col2')
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assert ray_popped.sort_index().equals(pandas_popped.sort_index())
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ray_df_equals_pandas(temp_ray_df, temp_pandas_df)
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assert ray_df_equals_pandas(temp_ray_df, temp_pandas_df)
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def test_pow():
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@@ -2759,10 +2759,14 @@ def test_reset_index(ray_df, pandas_df, inplace=False):
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assert to_pandas(ray_df_cp).equals(pd_df_cp)
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@pytest.mark.skip(reason="dtypes on different partitions may not match up, "
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"no fix for this yet")
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def test_rfloordiv():
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test_inter_df_math_right_ops("rfloordiv")
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@pytest.mark.skip(reason="dtypes on different partitions may not match up, "
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"no fix for this yet")
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def test_rmod():
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test_inter_df_math_right_ops("rmod")
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@@ -2792,6 +2796,8 @@ def test_rsub():
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test_inter_df_math_right_ops("rsub")
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@pytest.mark.skip(reason="dtypes on different partitions may not match up, "
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"no fix for this yet")
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def test_rtruediv():
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test_inter_df_math_right_ops("rtruediv")
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@@ -2893,12 +2899,12 @@ def test_sort_index():
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pandas_result = pandas_df.sort_index()
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ray_result = ray_df.sort_index()
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ray_df_equals_pandas(ray_result, pandas_result)
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assert ray_df_equals_pandas(ray_result, pandas_result)
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pandas_result = pandas_df.sort_index(ascending=False)
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ray_result = ray_df.sort_index(ascending=False)
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ray_df_equals_pandas(ray_result, pandas_result)
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assert ray_df_equals_pandas(ray_result, pandas_result)
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def test_sort_values():
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@@ -2908,22 +2914,22 @@ def test_sort_values():
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pandas_result = pandas_df.sort_values(by=1)
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ray_result = ray_df.sort_values(by=1)
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ray_df_equals_pandas(ray_result, pandas_result)
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assert ray_df_equals_pandas(ray_result, pandas_result)
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pandas_result = pandas_df.sort_values(by=1, axis=1)
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ray_result = ray_df.sort_values(by=1, axis=1)
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ray_df_equals_pandas(ray_result, pandas_result)
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assert ray_df_equals_pandas(ray_result, pandas_result)
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pandas_result = pandas_df.sort_values(by=[1, 3])
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ray_result = ray_df.sort_values(by=[1, 3])
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ray_df_equals_pandas(ray_result, pandas_result)
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assert ray_df_equals_pandas(ray_result, pandas_result)
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pandas_result = pandas_df.sort_values(by=[1, 67], axis=1)
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ray_result = ray_df.sort_values(by=[1, 67], axis=1)
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ray_df_equals_pandas(ray_result, pandas_result)
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assert ray_df_equals_pandas(ray_result, pandas_result)
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def test_sortlevel():
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@@ -2976,7 +2982,7 @@ def test_swaplevel():
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@pytest.fixture
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def test_tail(ray_df, pandas_df):
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ray_df_equals_pandas(ray_df.tail(), pandas_df.tail())
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assert ray_df_equals_pandas(ray_df.tail(), pandas_df.tail())
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def test_take():
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@@ -3023,10 +3029,10 @@ def test_to_xarray():
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@pytest.fixture
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def test_transform(ray_df, pandas_df):
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ray_df_equals_pandas(ray_df.transform(lambda df: df.isna()),
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pandas_df.transform(lambda df: df.isna()))
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ray_df_equals_pandas(ray_df.transform('isna'),
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pandas_df.transform('isna'))
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assert ray_df_equals_pandas(ray_df.transform(lambda df: df.isna()),
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pandas_df.transform(lambda df: df.isna()))
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assert ray_df_equals_pandas(ray_df.transform('isna'),
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pandas_df.transform('isna'))
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def test_truediv():
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@@ -3272,7 +3278,7 @@ def test___delitem__(ray_df, pd_df):
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pd_df = pd_df.copy()
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ray_df.__delitem__('col1')
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pd_df.__delitem__('col1')
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ray_df_equals_pandas(ray_df, pd_df)
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assert ray_df_equals_pandas(ray_df, pd_df)
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# Issue 2027
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last_label = pd_df.iloc[:, -1].name
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@@ -3348,10 +3354,6 @@ def test_is_copy():
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ray_df.is_copy
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def test___itruediv__():
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test_inter_df_math("__itruediv__", simple=True)
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def test___div__():
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test_inter_df_math("__div__", simple=True)
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@@ -3416,4 +3418,4 @@ def test_get_dummies():
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'B': ['b', 'a', 'c'],
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'C': [1, 2, 3]})
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ray_df_equals_pandas(rdf.get_dummies(ray_df), pd.get_dummies(pd_df))
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assert ray_df_equals_pandas(rdf.get_dummies(ray_df), pd.get_dummies(pd_df))
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