本文整理汇总了Python中pandas.sparse.api.SparseSeries.sparse_reindex方法的典型用法代码示例。如果您正苦于以下问题：Python SparseSeries.sparse_reindex方法的具体用法？Python SparseSeries.sparse_reindex怎么用？Python SparseSeries.sparse_reindex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.sparse.api.SparseSeries的用法示例。
在下文中一共展示了SparseSeries.sparse_reindex方法的3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: _check
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import sparse_reindex [as 别名]
def _check(values, index1, index2, fill_value):
first_series = SparseSeries(values, sparse_index=index1,
fill_value=fill_value)
reindexed = first_series.sparse_reindex(index2)
self.assert_(reindexed.sp_index is index2)
int_indices1 = index1.to_int_index().indices
int_indices2 = index2.to_int_index().indices
expected = Series(values, index=int_indices1)
expected = expected.reindex(int_indices2).fillna(fill_value)
assert_almost_equal(expected.values, reindexed.sp_values)示例2: test_sparse_reindex
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import sparse_reindex [as 别名]
def test_sparse_reindex(self):
length = 10
def _check(values, index1, index2, fill_value):
first_series = SparseSeries(values, sparse_index=index1,
fill_value=fill_value)
reindexed = first_series.sparse_reindex(index2)
self.assertIs(reindexed.sp_index, index2)
int_indices1 = index1.to_int_index().indices
int_indices2 = index2.to_int_index().indices
expected = Series(values, index=int_indices1)
expected = expected.reindex(int_indices2).fillna(fill_value)
tm.assert_almost_equal(expected.values, reindexed.sp_values)
# make sure level argument asserts
# TODO: expected is not used anywhere...remove?
expected = expected.reindex(int_indices2).fillna(fill_value) # noqa
def _check_with_fill_value(values, first, second, fill_value=nan):
i_index1 = IntIndex(length, first)
i_index2 = IntIndex(length, second)
b_index1 = i_index1.to_block_index()
b_index2 = i_index2.to_block_index()
_check(values, i_index1, i_index2, fill_value)
_check(values, b_index1, b_index2, fill_value)
def _check_all(values, first, second):
_check_with_fill_value(values, first, second, fill_value=nan)
_check_with_fill_value(values, first, second, fill_value=0)
index1 = [2, 4, 5, 6, 8, 9]
values1 = np.arange(6.)
_check_all(values1, index1, [2, 4, 5])
_check_all(values1, index1, [2, 3, 4, 5, 6, 7, 8, 9])
_check_all(values1, index1, [0, 1])
_check_all(values1, index1, [0, 1, 7, 8, 9])
_check_all(values1, index1, [])
first_series = SparseSeries(values1,
sparse_index=IntIndex(length, index1),
fill_value=nan)
with tm.assertRaisesRegexp(TypeError,
'new index must be a SparseIndex'):
reindexed = first_series.sparse_reindex(0) # noqa示例3: _check
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import sparse_reindex [as 别名]
def _check(values, index1, index2, fill_value):
first_series = SparseSeries(values, sparse_index=index1,
fill_value=fill_value)
reindexed = first_series.sparse_reindex(index2)
self.assertIs(reindexed.sp_index, index2)
int_indices1 = index1.to_int_index().indices
int_indices2 = index2.to_int_index().indices
expected = Series(values, index=int_indices1)
expected = expected.reindex(int_indices2).fillna(fill_value)
tm.assert_almost_equal(expected.values, reindexed.sp_values)
# make sure level argument asserts
# TODO: expected is not used anywhere...remove?
expected = expected.reindex(int_indices2).fillna(fill_value) # noqa