Python pandas.util.testing.SubclassedSparseSeries() Examples

The following are 20 code examples of pandas.util.testing.SubclassedSparseSeries(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas.util.testing , or try the search function .
Example #1
Source File: test_subclass.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_subclass_sparse_to_frame(self):
        s = tm.SubclassedSparseSeries([1, 2], index=list('ab'), name='xxx')
        res = s.to_frame()

        exp_arr = pd.SparseArray([1, 2], dtype=np.int64, kind='block',
                                 fill_value=0)
        exp = tm.SubclassedSparseDataFrame({'xxx': exp_arr},
                                           index=list('ab'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        # create from int dict
        res = tm.SubclassedSparseDataFrame({'xxx': [1, 2]},
                                           index=list('ab'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        s = tm.SubclassedSparseSeries([1.1, 2.1], index=list('ab'),
                                      name='xxx')
        res = s.to_frame()
        exp = tm.SubclassedSparseDataFrame({'xxx': [1.1, 2.1]},
                                           index=list('ab'))
        tm.assert_sp_frame_equal(res, exp)
Example #2
Source File: test_subclass.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_subclass_sparse_slice(self):
        rows = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]
        ssdf = tm.SubclassedSparseDataFrame(rows)
        ssdf.testattr = "testattr"

        tm.assert_sp_frame_equal(ssdf.loc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:3]))
        tm.assert_sp_frame_equal(ssdf.iloc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        tm.assert_sp_frame_equal(ssdf[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        assert ssdf.loc[:2].testattr == "testattr"
        assert ssdf.iloc[:2].testattr == "testattr"
        assert ssdf[:2].testattr == "testattr"

        tm.assert_sp_series_equal(ssdf.loc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False)
        tm.assert_sp_series_equal(ssdf.iloc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False)
Example #3
Source File: test_subclass.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_subclass_sparse_to_frame(self):
        s = tm.SubclassedSparseSeries([1, 2], index=list('abcd'), name='xxx')
        res = s.to_frame()

        exp_arr = pd.SparseArray([1, 2], dtype=np.int64, kind='block',
                                 fill_value=0)
        exp = tm.SubclassedSparseDataFrame({'xxx': exp_arr},
                                           index=list('abcd'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        # create from int dict
        res = tm.SubclassedSparseDataFrame({'xxx': [1, 2]},
                                           index=list('abcd'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        s = tm.SubclassedSparseSeries([1.1, 2.1], index=list('abcd'),
                                      name='xxx')
        res = s.to_frame()
        exp = tm.SubclassedSparseDataFrame({'xxx': [1.1, 2.1]},
                                           index=list('abcd'))
        tm.assert_sp_frame_equal(res, exp)
Example #4
Source File: test_subclass.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_subclass_sparse_slice(self):
        rows = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]
        ssdf = tm.SubclassedSparseDataFrame(rows)
        ssdf.testattr = "testattr"

        tm.assert_sp_frame_equal(ssdf.loc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:3]))
        tm.assert_sp_frame_equal(ssdf.iloc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        tm.assert_sp_frame_equal(ssdf[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        assert ssdf.loc[:2].testattr == "testattr"
        assert ssdf.iloc[:2].testattr == "testattr"
        assert ssdf[:2].testattr == "testattr"

        tm.assert_sp_series_equal(ssdf.loc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False)
        tm.assert_sp_series_equal(ssdf.iloc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False)
Example #5
Source File: test_subclass.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_subclass_sparse_to_frame(self):
        s = tm.SubclassedSparseSeries([1, 2], index=list('abcd'), name='xxx')
        res = s.to_frame()

        exp_arr = pd.SparseArray([1, 2], dtype=np.int64, kind='block',
                                 fill_value=0)
        exp = tm.SubclassedSparseDataFrame({'xxx': exp_arr},
                                           index=list('abcd'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        # create from int dict
        res = tm.SubclassedSparseDataFrame({'xxx': [1, 2]},
                                           index=list('abcd'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        s = tm.SubclassedSparseSeries([1.1, 2.1], index=list('abcd'),
                                      name='xxx')
        res = s.to_frame()
        exp = tm.SubclassedSparseDataFrame({'xxx': [1.1, 2.1]},
                                           index=list('abcd'))
        tm.assert_sp_frame_equal(res, exp)
Example #6
Source File: test_subclass.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_subclass_sparse_slice(self):
        rows = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]
        ssdf = tm.SubclassedSparseDataFrame(rows)
        ssdf.testattr = "testattr"

        tm.assert_sp_frame_equal(ssdf.loc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:3]))
        tm.assert_sp_frame_equal(ssdf.iloc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        tm.assert_sp_frame_equal(ssdf[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        assert ssdf.loc[:2].testattr == "testattr"
        assert ssdf.iloc[:2].testattr == "testattr"
        assert ssdf[:2].testattr == "testattr"

        tm.assert_sp_series_equal(ssdf.loc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False,
                                  check_kind=False)
        tm.assert_sp_series_equal(ssdf.iloc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False,
                                  check_kind=False)
Example #7
Source File: test_subclass.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_subclass_sparse_slice(self):
        rows = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]
        ssdf = tm.SubclassedSparseDataFrame(rows)
        ssdf.testattr = "testattr"

        tm.assert_sp_frame_equal(ssdf.loc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:3]))
        tm.assert_sp_frame_equal(ssdf.iloc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        tm.assert_sp_frame_equal(ssdf[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        assert ssdf.loc[:2].testattr == "testattr"
        assert ssdf.iloc[:2].testattr == "testattr"
        assert ssdf[:2].testattr == "testattr"

        tm.assert_sp_series_equal(ssdf.loc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False)
        tm.assert_sp_series_equal(ssdf.iloc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False)
Example #8
Source File: test_subclass.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_subclass_sparse_to_frame(self):
        s = tm.SubclassedSparseSeries([1, 2], index=list('abcd'), name='xxx')
        res = s.to_frame()

        exp_arr = pd.SparseArray([1, 2], dtype=np.int64, kind='block',
                                 fill_value=0)
        exp = tm.SubclassedSparseDataFrame({'xxx': exp_arr},
                                           index=list('abcd'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        # create from int dict
        res = tm.SubclassedSparseDataFrame({'xxx': [1, 2]},
                                           index=list('abcd'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        s = tm.SubclassedSparseSeries([1.1, 2.1], index=list('abcd'),
                                      name='xxx')
        res = s.to_frame()
        exp = tm.SubclassedSparseDataFrame({'xxx': [1.1, 2.1]},
                                           index=list('abcd'))
        tm.assert_sp_frame_equal(res, exp)
Example #9
Source File: test_subclass.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_subclass_sparse_slice(self):
        rows = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]
        ssdf = tm.SubclassedSparseDataFrame(rows)
        ssdf.testattr = "testattr"

        tm.assert_sp_frame_equal(ssdf.loc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:3]))
        tm.assert_sp_frame_equal(ssdf.iloc[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        tm.assert_sp_frame_equal(ssdf[:2],
                                 tm.SubclassedSparseDataFrame(rows[:2]))
        assert ssdf.loc[:2].testattr == "testattr"
        assert ssdf.iloc[:2].testattr == "testattr"
        assert ssdf[:2].testattr == "testattr"

        tm.assert_sp_series_equal(ssdf.loc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False,
                                  check_kind=False)
        tm.assert_sp_series_equal(ssdf.iloc[1],
                                  tm.SubclassedSparseSeries(rows[1]),
                                  check_names=False,
                                  check_kind=False)
Example #10
Source File: test_subclass.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_subclass_sparse_to_frame(self):
        s = tm.SubclassedSparseSeries([1, 2], index=list('ab'), name='xxx')
        res = s.to_frame()

        exp_arr = pd.SparseArray([1, 2], dtype=np.int64, kind='block',
                                 fill_value=0)
        exp = tm.SubclassedSparseDataFrame({'xxx': exp_arr},
                                           index=list('ab'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        # create from int dict
        res = tm.SubclassedSparseDataFrame({'xxx': [1, 2]},
                                           index=list('ab'),
                                           default_fill_value=0)
        tm.assert_sp_frame_equal(res, exp)

        s = tm.SubclassedSparseSeries([1.1, 2.1], index=list('ab'),
                                      name='xxx')
        res = s.to_frame()
        exp = tm.SubclassedSparseDataFrame({'xxx': [1.1, 2.1]},
                                           index=list('ab'))
        tm.assert_sp_frame_equal(res, exp)
Example #11
Source File: test_subclass.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_subclass_sparse_slice(self):
        # int64
        s = tm.SubclassedSparseSeries([1, 2, 3, 4, 5])
        exp = tm.SubclassedSparseSeries([2, 3, 4], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == SparseDtype(np.int64)

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == SparseDtype(np.int64)

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == SparseDtype(np.int64)

        # float64
        s = tm.SubclassedSparseSeries([1., 2., 3., 4., 5.])
        exp = tm.SubclassedSparseSeries([2., 3., 4.], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == SparseDtype(np.float64)

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == SparseDtype(np.float64)

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == SparseDtype(np.float64)
Example #12
Source File: test_subclass.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_subclass_sparse_addition(self):
        s1 = tm.SubclassedSparseSeries([1, 3, 5])
        s2 = tm.SubclassedSparseSeries([-2, 5, 12])
        exp = tm.SubclassedSparseSeries([-1, 8, 17])
        tm.assert_sp_series_equal(s1 + s2, exp)

        s1 = tm.SubclassedSparseSeries([4.0, 5.0, 6.0])
        s2 = tm.SubclassedSparseSeries([1.0, 2.0, 3.0])
        exp = tm.SubclassedSparseSeries([5., 7., 9.])
        tm.assert_sp_series_equal(s1 + s2, exp)
Example #13
Source File: test_subclass.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_subclass_sparse_slice(self):
        # int64
        s = tm.SubclassedSparseSeries([1, 2, 3, 4, 5])
        exp = tm.SubclassedSparseSeries([2, 3, 4], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == SparseDtype(np.int64)

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == SparseDtype(np.int64)

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == SparseDtype(np.int64)

        # float64
        s = tm.SubclassedSparseSeries([1., 2., 3., 4., 5.])
        exp = tm.SubclassedSparseSeries([2., 3., 4.], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == SparseDtype(np.float64)

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == SparseDtype(np.float64)

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == SparseDtype(np.float64)
Example #14
Source File: test_subclass.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_subclass_sparse_addition(self):
        s1 = tm.SubclassedSparseSeries([1, 3, 5])
        s2 = tm.SubclassedSparseSeries([-2, 5, 12])
        exp = tm.SubclassedSparseSeries([-1, 8, 17])
        tm.assert_sp_series_equal(s1 + s2, exp)

        s1 = tm.SubclassedSparseSeries([4.0, 5.0, 6.0])
        s2 = tm.SubclassedSparseSeries([1.0, 2.0, 3.0])
        exp = tm.SubclassedSparseSeries([5., 7., 9.])
        tm.assert_sp_series_equal(s1 + s2, exp)
Example #15
Source File: test_subclass.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_subclass_sparse_slice(self):
        # int64
        s = tm.SubclassedSparseSeries([1, 2, 3, 4, 5])
        exp = tm.SubclassedSparseSeries([2, 3, 4], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == np.int64

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == np.int64

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == np.int64

        # float64
        s = tm.SubclassedSparseSeries([1., 2., 3., 4., 5.])
        exp = tm.SubclassedSparseSeries([2., 3., 4.], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == np.float64

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == np.float64

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == np.float64
Example #16
Source File: test_subclass.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_subclass_sparse_addition(self):
        s1 = tm.SubclassedSparseSeries([1, 3, 5])
        s2 = tm.SubclassedSparseSeries([-2, 5, 12])
        exp = tm.SubclassedSparseSeries([-1, 8, 17])
        tm.assert_sp_series_equal(s1 + s2, exp)

        s1 = tm.SubclassedSparseSeries([4.0, 5.0, 6.0])
        s2 = tm.SubclassedSparseSeries([1.0, 2.0, 3.0])
        exp = tm.SubclassedSparseSeries([5., 7., 9.])
        tm.assert_sp_series_equal(s1 + s2, exp)
Example #17
Source File: test_subclass.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_subclass_sparse_slice(self):
        # int64
        s = tm.SubclassedSparseSeries([1, 2, 3, 4, 5])
        exp = tm.SubclassedSparseSeries([2, 3, 4], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == np.int64

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == np.int64

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == np.int64

        # float64
        s = tm.SubclassedSparseSeries([1., 2., 3., 4., 5.])
        exp = tm.SubclassedSparseSeries([2., 3., 4.], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == np.float64

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == np.float64

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == np.float64
Example #18
Source File: test_subclass.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_subclass_sparse_slice(self):
        # int64
        s = tm.SubclassedSparseSeries([1, 2, 3, 4, 5])
        exp = tm.SubclassedSparseSeries([2, 3, 4], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == np.int64

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == np.int64

        exp = tm.SubclassedSparseSeries([2, 3], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == np.int64

        # float64
        s = tm.SubclassedSparseSeries([1., 2., 3., 4., 5.])
        exp = tm.SubclassedSparseSeries([2., 3., 4.], index=[1, 2, 3])
        tm.assert_sp_series_equal(s.loc[1:3], exp)
        assert s.loc[1:3].dtype == np.float64

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s.iloc[1:3], exp)
        assert s.iloc[1:3].dtype == np.float64

        exp = tm.SubclassedSparseSeries([2., 3.], index=[1, 2])
        tm.assert_sp_series_equal(s[1:3], exp)
        assert s[1:3].dtype == np.float64
Example #19
Source File: test_subclass.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_subclass_sparse_addition(self):
        s1 = tm.SubclassedSparseSeries([1, 3, 5])
        s2 = tm.SubclassedSparseSeries([-2, 5, 12])
        exp = tm.SubclassedSparseSeries([-1, 8, 17])
        tm.assert_sp_series_equal(s1 + s2, exp)

        s1 = tm.SubclassedSparseSeries([4.0, 5.0, 6.0])
        s2 = tm.SubclassedSparseSeries([1.0, 2.0, 3.0])
        exp = tm.SubclassedSparseSeries([5., 7., 9.])
        tm.assert_sp_series_equal(s1 + s2, exp)
Example #20
Source File: test_subclass.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_subclass_sparse_addition(self):
        s1 = tm.SubclassedSparseSeries([1, 3, 5])
        s2 = tm.SubclassedSparseSeries([-2, 5, 12])
        exp = tm.SubclassedSparseSeries([-1, 8, 17])
        tm.assert_sp_series_equal(s1 + s2, exp)

        s1 = tm.SubclassedSparseSeries([4.0, 5.0, 6.0])
        s2 = tm.SubclassedSparseSeries([1.0, 2.0, 3.0])
        exp = tm.SubclassedSparseSeries([5., 7., 9.])
        tm.assert_sp_series_equal(s1 + s2, exp)