本文整理汇总了Python中pandas.util.testing.SubclassedSparseSeries方法的典型用法代码示例。如果您正苦于以下问题:Python testing.SubclassedSparseSeries方法的具体用法?Python testing.SubclassedSparseSeries怎么用?Python testing.SubclassedSparseSeries使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.util.testing
的用法示例。
在下文中一共展示了testing.SubclassedSparseSeries方法的7个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_subclass_sparse_to_frame
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 别名]
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)
示例2: test_subclass_sparse_slice
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 别名]
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)
示例3: test_subclass_sparse_to_frame
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 别名]
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)
示例4: test_subclass_sparse_slice
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 别名]
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)
示例5: test_subclass_sparse_slice
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 别名]
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)
示例6: test_subclass_sparse_addition
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 别名]
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)
示例7: test_subclass_sparse_slice
# 需要导入模块: from pandas.util import testing [as 别名]
# 或者: from pandas.util.testing import SubclassedSparseSeries [as 别名]
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