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Python SparseSeries.copy方法代码示例

本文整理汇总了Python中pandas.sparse.api.SparseSeries.copy方法的典型用法代码示例。如果您正苦于以下问题:Python SparseSeries.copy方法的具体用法?Python SparseSeries.copy怎么用?Python SparseSeries.copy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pandas.sparse.api.SparseSeries的用法示例。


在下文中一共展示了SparseSeries.copy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: TestSparseSeries

# 需要导入模块: from pandas.sparse.api import SparseSeries [as 别名]
# 或者: from pandas.sparse.api.SparseSeries import copy [as 别名]

#.........这里部分代码省略.........
            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, ))

    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)
开发者ID:jcfr,项目名称:pandas,代码行数:70,代码来源:test_series.py

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 copy [as 别名]

#.........这里部分代码省略.........
        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)

    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, arr)

    def test_copy_astype(self):
        cop = self.bseries.astype(np.float_)
        self.assert_(cop is not self.bseries)
        self.assert_(cop.sp_index is self.bseries.sp_index)
        self.assert_(cop.dtype == np.float64)

        cop2 = self.iseries.copy()

        assert_sp_series_equal(cop, self.bseries)
        assert_sp_series_equal(cop2, self.iseries)

        # test that data is copied
        cop.sp_values[:5] = 97
        self.assert_(cop.sp_values[0] == 97)
        self.assert_(self.bseries.sp_values[0] != 97)

        # correct fill value
        zbcop = self.zbseries.copy()
        zicop = self.ziseries.copy()

        assert_sp_series_equal(zbcop, self.zbseries)
开发者ID:klausz,项目名称:pandas,代码行数:70,代码来源:test_sparse.py


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