本文整理汇总了Python中pandas.sparse.api.SparseSeries.reindex方法的典型用法代码示例。如果您正苦于以下问题：Python SparseSeries.reindex方法的具体用法？Python SparseSeries.reindex怎么用？Python SparseSeries.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.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: test_constructor_scalar
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import reindex [as 别名]
def test_constructor_scalar(self):
data = 5
sp = SparseSeries(data, np.arange(100))
sp = sp.reindex(np.arange(200))
self.assertTrue((sp.ix[:99] == data).all())
self.assertTrue(isnull(sp.ix[100:]).all())
data = np.nan
sp = SparseSeries(data, np.arange(100))
self.assertEqual(len(sp), 100)
self.assertEqual(sp.shape, (100, ))示例2: TestSparseSeries
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import reindex [as 别名]
#.........这里部分代码省略.........
# Sparse time series works
date_index = bdate_range('1/1/2000', periods=len(self.bseries))
s5 = SparseSeries(self.bseries, index=date_index)
tm.assertIsInstance(s5, SparseSeries)
# 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
values = np.ones(self.bseries.npoints)
sp = SparseSeries(values, sparse_index=self.bseries.sp_index)
sp.sp_values[:5] = 97
self.assertEqual(values[0], 97)
self.assertEqual(len(sp), 20)
self.assertEqual(sp.shape, (20, ))
# but can make it copy!
sp = SparseSeries(values, sparse_index=self.bseries.sp_index,
copy=True)
sp.sp_values[:5] = 100
self.assertEqual(values[0], 97)
self.assertEqual(len(sp), 20)
self.assertEqual(sp.shape, (20, ))
def test_constructor_scalar(self):
data = 5
sp = SparseSeries(data, np.arange(100))
sp = sp.reindex(np.arange(200))
self.assertTrue((sp.ix[:99] == data).all())
self.assertTrue(isnull(sp.ix[100:]).all())
data = np.nan
sp = SparseSeries(data, np.arange(100))
self.assertEqual(len(sp), 100)
self.assertEqual(sp.shape, (100, ))
def test_constructor_ndarray(self):
pass
def test_constructor_nonnan(self):
arr = [0, 0, 0, nan, nan]
sp_series = SparseSeries(arr, fill_value=0)
assert_equal(sp_series.values.values, arr)
self.assertEqual(len(sp_series), 5)
self.assertEqual(sp_series.shape, (5, ))
# GH 9272
def test_constructor_empty(self):
sp = SparseSeries()
self.assertEqual(len(sp.index), 0)
self.assertEqual(sp.shape, (0, ))
def test_copy_astype(self):
cop = self.bseries.astype(np.float64)
self.assertIsNot(cop, self.bseries)
self.assertIs(cop.sp_index, self.bseries.sp_index)
self.assertEqual(cop.dtype, np.float64)
cop2 = self.iseries.copy()
示例3: TestSparseSeries
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import reindex [as 别名]
#.........这里部分代码省略.........
# exception handling
self.assertRaises(Exception, self.bseries.__getitem__, len(self.bseries) + 1)
# index not contained
self.assertRaises(Exception, self.btseries.__getitem__, self.btseries.index[-1] + BDay())
def test_get_get_value(self):
assert_almost_equal(self.bseries.get(10), self.bseries[10])
self.assert_(self.bseries.get(len(self.bseries) + 1) is None)
dt = self.btseries.index[10]
result = self.btseries.get(dt)
expected = self.btseries.to_dense()[dt]
assert_almost_equal(result, expected)
assert_almost_equal(self.bseries.get_value(10), self.bseries[10])
def test_set_value(self):
idx = self.btseries.index[7]
res = self.btseries.set_value(idx, 0)
self.assert_(res is not self.btseries)
self.assertEqual(res[idx], 0)
res = self.iseries.set_value("foobar", 0)
self.assert_(res is not self.iseries)
self.assert_(res.index[-1] == "foobar")
self.assertEqual(res["foobar"], 0)
def test_getitem_slice(self):
idx = self.bseries.index
res = self.bseries[::2]
self.assert_(isinstance(res, SparseSeries))
assert_sp_series_equal(res, self.bseries.reindex(idx[::2]))
res = self.bseries[:5]
self.assert_(isinstance(res, SparseSeries))
assert_sp_series_equal(res, self.bseries.reindex(idx[:5]))
res = self.bseries[5:]
assert_sp_series_equal(res, self.bseries.reindex(idx[5:]))
# negative indices
res = self.bseries[:-3]
assert_sp_series_equal(res, self.bseries.reindex(idx[:-3]))
def test_take(self):
def _compare_with_dense(sp):
dense = sp.to_dense()
def _compare(idx):
dense_result = dense.take(idx).values
sparse_result = sp.take(idx)
self.assert_(isinstance(sparse_result, SparseSeries))
assert_almost_equal(dense_result, sparse_result.values)
_compare([1.0, 2.0, 3.0, 4.0, 5.0, 0.0])
_compare([7, 2, 9, 0, 4])
_compare([3, 6, 3, 4, 7])
self._check_all(_compare_with_dense)
self.assertRaises(Exception, self.bseries.take, [-1, 0])
self.assertRaises(Exception, self.bseries.take, [0, len(self.bseries) + 1])
# Corner case