本文整理匯總了Python中pandas.core.sparse.SparseSeries.to_dense方法的典型用法代碼示例。如果您正苦於以下問題：Python SparseSeries.to_dense方法的具體用法？Python SparseSeries.to_dense怎麽用？Python SparseSeries.to_dense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.core.sparse.SparseSeries的用法示例。
在下文中一共展示了SparseSeries.to_dense方法的2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_valid
# 需要導入模塊: from pandas.core.sparse import SparseSeries [as 別名]
# 或者: from pandas.core.sparse.SparseSeries import to_dense [as 別名]
def test_valid(self):
sp = SparseSeries([0, 0, 0, nan, nan, 5, 6], fill_value=0)
sp_valid = sp.valid()
assert_almost_equal(sp_valid, sp.to_dense().valid())
self.assert_(sp_valid.index.equals(sp.to_dense().valid().index))
self.assertEquals(len(sp_valid.sp_values), 2)示例2: TestSparseSeries
# 需要導入模塊: from pandas.core.sparse import SparseSeries [as 別名]
# 或者: from pandas.core.sparse.SparseSeries import to_dense [as 別名]
class TestSparseSeries(TestCase,
test_series.CheckNameIntegration):
def setUp(self):
arr, index = _test_data1()
date_index = DateRange('1/1/2011', periods=len(index))
self.bseries = SparseSeries(arr, index=index, kind='block')
self.bseries.name = 'bseries'
self.ts = self.bseries
self.btseries = SparseSeries(arr, index=date_index, kind='block')
self.iseries = SparseSeries(arr, index=index, kind='integer')
arr, index = _test_data2()
self.bseries2 = SparseSeries(arr, index=index, kind='block')
self.iseries2 = SparseSeries(arr, index=index, kind='integer')
arr, index = _test_data1_zero()
self.zbseries = SparseSeries(arr, index=index, kind='block',
fill_value=0)
self.ziseries = SparseSeries(arr, index=index, kind='integer',
fill_value=0)
arr, index = _test_data2_zero()
self.zbseries2 = SparseSeries(arr, index=index, kind='block',
fill_value=0)
self.ziseries2 = SparseSeries(arr, index=index, kind='integer',
fill_value=0)
def test_sparse_to_dense(self):
arr, index = _test_data1()
series = self.bseries.to_dense()
assert_equal(series, arr)
series = self.bseries.to_dense(sparse_only=True)
assert_equal(series, arr[np.isfinite(arr)])
series = self.iseries.to_dense()
assert_equal(series, arr)
arr, index = _test_data1_zero()
series = self.zbseries.to_dense()
assert_equal(series, arr)
series = self.ziseries.to_dense()
assert_equal(series, arr)
def test_dense_to_sparse(self):
series = self.bseries.to_dense()
bseries = series.to_sparse(kind='block')
iseries = series.to_sparse(kind='integer')
assert_sp_series_equal(bseries, self.bseries)
assert_sp_series_equal(iseries, self.iseries)
# non-NaN fill value
series = self.zbseries.to_dense()
zbseries = series.to_sparse(kind='block', fill_value=0)
ziseries = series.to_sparse(kind='integer', fill_value=0)
assert_sp_series_equal(zbseries, self.zbseries)
assert_sp_series_equal(ziseries, self.ziseries)
def test_to_dense_preserve_name(self):
assert(self.bseries.name is not None)
result = self.bseries.to_dense()
self.assertEquals(result.name, self.bseries.name)
def test_constructor(self):
# test setup guys
self.assert_(np.isnan(self.bseries.fill_value))
self.assert_(isinstance(self.bseries.sp_index, BlockIndex))
self.assert_(np.isnan(self.iseries.fill_value))
self.assert_(isinstance(self.iseries.sp_index, IntIndex))
self.assertEquals(self.zbseries.fill_value, 0)
assert_equal(self.zbseries.values, self.bseries.to_dense().fillna(0))
# pass SparseSeries
s2 = SparseSeries(self.bseries)
s3 = SparseSeries(self.iseries)
s4 = SparseSeries(self.zbseries)
assert_sp_series_equal(s2, self.bseries)
assert_sp_series_equal(s3, self.iseries)
assert_sp_series_equal(s4, self.zbseries)
# Sparse time series works
date_index = DateRange('1/1/2000', periods=len(self.bseries))
s5 = SparseSeries(self.bseries, index=date_index)
self.assert_(isinstance(s5, spm.SparseTimeSeries))
# pass Series
bseries2 = SparseSeries(self.bseries.to_dense())
assert_equal(self.bseries.sp_values, bseries2.sp_values)
# pass dict?
# don't copy the data by default
#.........這裏部分代碼省略.........