@@ -907,105 +907,6 @@ def test_matmul(self):
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pytest .raises (Exception , a .dot , a .values [:3 ])
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pytest .raises (ValueError , a .dot , b .T )
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- def test_value_counts_nunique (self ):
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-
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- # basics.rst doc example
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- series = Series (np .random .randn (500 ))
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- series [20 :500 ] = np .nan
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- series [10 :20 ] = 5000
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- result = series .nunique ()
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- assert result == 11
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-
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- # GH 18051
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- s = pd .Series (pd .Categorical ([]))
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- assert s .nunique () == 0
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- s = pd .Series (pd .Categorical ([np .nan ]))
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- assert s .nunique () == 0
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-
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- def test_unique (self ):
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-
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- # 714 also, dtype=float
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- s = Series ([1.2345 ] * 100 )
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- s [::2 ] = np .nan
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- result = s .unique ()
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- assert len (result ) == 2
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-
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- s = Series ([1.2345 ] * 100 , dtype = 'f4' )
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- s [::2 ] = np .nan
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- result = s .unique ()
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- assert len (result ) == 2
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-
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- # NAs in object arrays #714
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- s = Series (['foo' ] * 100 , dtype = 'O' )
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- s [::2 ] = np .nan
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- result = s .unique ()
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- assert len (result ) == 2
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-
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- # decision about None
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- s = Series ([1 , 2 , 3 , None , None , None ], dtype = object )
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- result = s .unique ()
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- expected = np .array ([1 , 2 , 3 , None ], dtype = object )
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- tm .assert_numpy_array_equal (result , expected )
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-
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- # GH 18051
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- s = pd .Series (pd .Categorical ([]))
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- tm .assert_categorical_equal (s .unique (), pd .Categorical ([]),
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- check_dtype = False )
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- s = pd .Series (pd .Categorical ([np .nan ]))
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- tm .assert_categorical_equal (s .unique (), pd .Categorical ([np .nan ]),
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- check_dtype = False )
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-
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- @pytest .mark .parametrize (
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- 'keep, expected' ,
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- [
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- ('first' , Series ([False , False , False , False , True , True , False ])),
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- ('last' , Series ([False , True , True , False , False , False , False ])),
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- (False , Series ([False , True , True , False , True , True , False ]))
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- ])
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- def test_drop_duplicates_non_bool (self , any_numpy_dtype , keep , expected ):
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- tc = Series ([1 , 2 , 3 , 5 , 3 , 2 , 4 ], dtype = np .dtype (any_numpy_dtype ))
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-
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- assert_series_equal (tc .duplicated (keep = keep ), expected )
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- assert_series_equal (tc .drop_duplicates (keep = keep ), tc [~ expected ])
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- sc = tc .copy ()
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- sc .drop_duplicates (keep = keep , inplace = True )
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- assert_series_equal (sc , tc [~ expected ])
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-
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- @pytest .mark .parametrize ('keep, expected' ,
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- [('first' , Series ([False , False , True , True ])),
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- ('last' , Series ([True , True , False , False ])),
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- (False , Series ([True , True , True , True ]))])
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- def test_drop_duplicates_bool (self , keep , expected ):
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- tc = Series ([True , False , True , False ])
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-
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- assert_series_equal (tc .duplicated (keep = keep ), expected )
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- assert_series_equal (tc .drop_duplicates (keep = keep ), tc [~ expected ])
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- sc = tc .copy ()
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- sc .drop_duplicates (keep = keep , inplace = True )
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- assert_series_equal (sc , tc [~ expected ])
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-
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- @pytest .mark .parametrize ('keep, expected' , [
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- ('first' , Series ([False , False , True , False , True ], name = 'name' )),
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- ('last' , Series ([True , True , False , False , False ], name = 'name' )),
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- (False , Series ([True , True , True , False , True ], name = 'name' ))
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- ])
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- def test_duplicated_keep (self , keep , expected ):
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- s = Series (['a' , 'b' , 'b' , 'c' , 'a' ], name = 'name' )
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-
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- result = s .duplicated (keep = keep )
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- tm .assert_series_equal (result , expected )
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-
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- @pytest .mark .parametrize ('keep, expected' , [
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- ('first' , Series ([False , False , True , False , True ])),
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- ('last' , Series ([True , True , False , False , False ])),
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- (False , Series ([True , True , True , False , True ]))
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- ])
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- def test_duplicated_nan_none (self , keep , expected ):
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- s = Series ([np .nan , 3 , 3 , None , np .nan ], dtype = object )
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-
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- result = s .duplicated (keep = keep )
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- tm .assert_series_equal (result , expected )
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-
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def test_clip (self ):
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val = self .ts .median ()
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@@ -1419,10 +1320,6 @@ def test_empty_timeseries_redections_return_nat(self):
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assert Series ([], dtype = dtype ).min () is pd .NaT
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assert Series ([], dtype = dtype ).max () is pd .NaT
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- def test_unique_data_ownership (self ):
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- # it works! #1807
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- Series (Series (["a" , "c" , "b" ]).unique ()).sort_values ()
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-
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def test_repeat (self ):
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s = Series (np .random .randn (3 ), index = ['a' , 'b' , 'c' ])
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@@ -1499,29 +1396,6 @@ def test_searchsorted_sorter(self):
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e = np .array ([0 , 2 ], dtype = np .intp )
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tm .assert_numpy_array_equal (r , e )
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- def test_is_unique (self ):
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- # GH11946
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- s = Series (np .random .randint (0 , 10 , size = 1000 ))
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- assert not s .is_unique
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- s = Series (np .arange (1000 ))
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- assert s .is_unique
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-
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- def test_is_unique_class_ne (self , capsys ):
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- # GH 20661
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- class Foo (object ):
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- def __init__ (self , val ):
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- self ._value = val
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-
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- def __ne__ (self , other ):
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- raise Exception ("NEQ not supported" )
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-
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- li = [Foo (i ) for i in range (5 )]
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- s = pd .Series (li , index = [i for i in range (5 )])
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- _ , err = capsys .readouterr ()
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- s .is_unique
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- _ , err = capsys .readouterr ()
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- assert len (err ) == 0
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-
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def test_is_monotonic (self ):
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s = Series (np .random .randint (0 , 10 , size = 1000 ))
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