本文整理汇总了Python中pandas.sparse.api.SparseSeries.sp_values[:5]方法的典型用法代码示例。如果您正苦于以下问题：Python SparseSeries.sp_values[:5]方法的具体用法？Python SparseSeries.sp_values[:5]怎么用？Python SparseSeries.sp_values[:5]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.sp_values[:5]方法的2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
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import sp_values[:5] [as 别名]
def test_constructor(self):
# test setup guys
self.assertTrue(np.isnan(self.bseries.fill_value))
tm.assertIsInstance(self.bseries.sp_index, BlockIndex)
self.assertTrue(np.isnan(self.iseries.fill_value))
tm.assertIsInstance(self.iseries.sp_index, IntIndex)
self.assertEqual(self.zbseries.fill_value, 0)
assert_equal(self.zbseries.values.values,
self.bseries.to_dense().fillna(0).values)
# pass SparseSeries
def _check_const(sparse, name):
# use passed series name
result = SparseSeries(sparse)
tm.assert_sp_series_equal(result, sparse)
self.assertEqual(sparse.name, name)
self.assertEqual(result.name, name)
# use passed name
result = SparseSeries(sparse, name='x')
tm.assert_sp_series_equal(result, sparse, check_names=False)
self.assertEqual(result.name, 'x')
_check_const(self.bseries, 'bseries')
_check_const(self.iseries, 'iseries')
_check_const(self.zbseries, 'zbseries')
# 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, ))示例2: test_constructor
# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import sp_values[:5] [as 别名]
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, 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
values = np.ones(len(self.bseries.sp_values))
sp = SparseSeries(values, sparse_index=self.bseries.sp_index)
sp.sp_values[:5] = 97
self.assert_(values[0] == 97)
# but can make it copy!
sp = SparseSeries(values, sparse_index=self.bseries.sp_index,
copy=True)
sp.sp_values[:5] = 100
self.assert_(values[0] == 97)