當前位置: 首頁>>代碼示例>>Python>>正文

Python testing.SubclassedSparseSeries方法代碼示例

本文整理匯總了Python中pandas.util.testing.SubclassedSparseSeries方法的典型用法代碼示例。如果您正苦於以下問題：Python testing.SubclassedSparseSeries方法的具體用法？Python testing.SubclassedSparseSeries怎麽用？Python testing.SubclassedSparseSeries使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pandas.util.testing的用法示例。


在下文中一共展示了testing.SubclassedSparseSeries方法的7個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: test_subclass_sparse_to_frame

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 別名]
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)
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:25，代碼來源:test_subclass.py

示例2: test_subclass_sparse_slice

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 別名]
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)
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:25，代碼來源:test_subclass.py

示例3: test_subclass_sparse_to_frame

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 別名]
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)
開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:25，代碼來源:test_subclass.py

示例4: test_subclass_sparse_slice

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 別名]
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)
開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:23，代碼來源:test_subclass.py

示例5: test_subclass_sparse_slice

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 別名]
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)
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:30，代碼來源:test_subclass.py

示例6: test_subclass_sparse_addition

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 別名]
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)
開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:12，代碼來源:test_subclass.py

示例7: test_subclass_sparse_slice

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 別名]
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
開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:30，代碼來源:test_subclass.py


注：本文中的pandas.util.testing.SubclassedSparseSeries方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。