Python nanops.nansum方法代碼示例

本文整理匯總了Python中pandas.core.nanops.nansum方法的典型用法代碼示例。如果您正苦於以下問題：Python nanops.nansum方法的具體用法？Python nanops.nansum怎麽用？Python nanops.nansum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.nanops的用法示例。

在下文中一共展示了nanops.nansum方法的11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_apply

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_apply(frame):
    applied = frame.apply(np.sqrt)
    assert isinstance(applied, SparseDataFrame)
    tm.assert_almost_equal(applied.values, np.sqrt(frame.values))

    # agg / broadcast
    with tm.assert_produces_warning(FutureWarning):
        broadcasted = frame.apply(np.sum, broadcast=True)
    assert isinstance(broadcasted, SparseDataFrame)

    with tm.assert_produces_warning(FutureWarning):
        exp = frame.to_dense().apply(np.sum, broadcast=True)
    tm.assert_frame_equal(broadcasted.to_dense(), exp)

    applied = frame.apply(np.sum)
    tm.assert_series_equal(applied,
                           frame.to_dense().apply(nanops.nansum).to_sparse())

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:19，代碼來源:test_apply.py

示例2: test_sum_inf

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_sum_inf(self):
        s = Series(np.random.randn(10))
        s2 = s.copy()

        s[5:8] = np.inf
        s2[5:8] = np.nan

        assert np.isinf(s.sum())

        arr = np.random.randn(100, 100).astype('f4')
        arr[:, 2] = np.inf

        with pd.option_context("mode.use_inf_as_na", True):
            tm.assert_almost_equal(s.sum(), s2.sum())

        res = nanops.nansum(arr, axis=1)
        assert np.isinf(res).all()

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:19，代碼來源:test_reductions.py

示例3: test_apply

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_apply(frame):
    applied = frame.apply(np.sqrt)
    assert isinstance(applied, SparseDataFrame)
    tm.assert_almost_equal(applied.values, np.sqrt(frame.values))

    # agg / broadcast
    with tm.assert_produces_warning(FutureWarning):
        broadcasted = frame.apply(np.sum, broadcast=True)
    assert isinstance(broadcasted, SparseDataFrame)

    with tm.assert_produces_warning(FutureWarning):
        exp = frame.to_dense().apply(np.sum, broadcast=True)
    tm.assert_frame_equal(broadcasted.to_dense(), exp)

    applied = frame.apply(np.sum)
    tm.assert_series_equal(applied,
                           frame.to_dense().apply(nanops.nansum))

開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:19，代碼來源:test_apply.py

示例4: test_sum_inf

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_sum_inf(self):
        s = Series(np.random.randn(10))
        s2 = s.copy()

        s[5:8] = np.inf
        s2[5:8] = np.nan

        assert np.isinf(s.sum())

        arr = np.random.randn(100, 100).astype('f4')
        arr[:, 2] = np.inf

        with pd.option_context("mode.use_inf_as_na", True):
            assert_almost_equal(s.sum(), s2.sum())

        res = nanops.nansum(arr, axis=1)
        assert np.isinf(res).all()

開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:19，代碼來源:test_analytics.py

示例5: test_apply

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_apply(self):
        applied = self.frame.apply(np.sqrt)
        tm.assert_isinstance(applied, SparseDataFrame)
        assert_almost_equal(applied.values, np.sqrt(self.frame.values))

        applied = self.fill_frame.apply(np.sqrt)
        self.assert_(applied['A'].fill_value == np.sqrt(2))

        # agg / broadcast
        broadcasted = self.frame.apply(np.sum, broadcast=True)
        tm.assert_isinstance(broadcasted, SparseDataFrame)
        assert_frame_equal(broadcasted.to_dense(),
                           self.frame.to_dense().apply(np.sum, broadcast=True))

        self.assert_(self.empty.apply(np.sqrt) is self.empty)

        from pandas.core import nanops
        applied = self.frame.apply(np.sum)
        assert_series_equal(applied,
                            self.frame.to_dense().apply(nanops.nansum))

開發者ID:ktraunmueller，項目名稱:Computable，代碼行數:22，代碼來源:test_sparse.py

示例6: test_apply

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_apply(self):
        applied = self.frame.apply(np.sqrt)
        assert isinstance(applied, SparseDataFrame)
        tm.assert_almost_equal(applied.values, np.sqrt(self.frame.values))

        applied = self.fill_frame.apply(np.sqrt)
        assert applied['A'].fill_value == np.sqrt(2)

        # agg / broadcast
        broadcasted = self.frame.apply(np.sum, broadcast=True)
        assert isinstance(broadcasted, SparseDataFrame)

        exp = self.frame.to_dense().apply(np.sum, broadcast=True)
        tm.assert_frame_equal(broadcasted.to_dense(), exp)

        assert self.empty.apply(np.sqrt) is self.empty

        from pandas.core import nanops
        applied = self.frame.apply(np.sum)
        tm.assert_series_equal(applied,
                               self.frame.to_dense().apply(nanops.nansum))

開發者ID:securityclippy，項目名稱:elasticintel，代碼行數:23，代碼來源:test_frame.py

示例7: test_nansum

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_nansum(self):
        self.check_funs(nanops.nansum, np.sum, allow_str=False,
                        allow_date=False, allow_tdelta=True, check_dtype=False,
                        empty_targfunc=np.nansum)

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:6，代碼來源:test_nanops.py

示例8: test_nansum_buglet

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_nansum_buglet(self):
        ser = Series([1.0, np.nan], index=[0, 1])
        result = np.nansum(ser)
        tm.assert_almost_equal(result, 1)

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:6，代碼來源:test_reductions.py

示例9: sum

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def sum(self, axis=None, dtype=None, out=None, keepdims=False,
            initial=None, skipna=True, min_count=0):
        nv.validate_sum((), dict(dtype=dtype, out=out, keepdims=keepdims,
                                 initial=initial))
        return nanops.nansum(self._ndarray, axis=axis, skipna=skipna,
                             min_count=min_count)

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:8，代碼來源:numpy_.py

示例10: test_nansum_buglet

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_nansum_buglet(self):
        s = Series([1.0, np.nan], index=[0, 1])
        result = np.nansum(s)
        assert_almost_equal(result, 1)

開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:6，代碼來源:test_analytics.py

示例11: test_nansum

# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nansum [as 別名]
def test_nansum(self):
        self.check_funs(nanops.nansum, np.sum, allow_str=False,
                        allow_date=False, allow_tdelta=True, check_dtype=False)

開發者ID:securityclippy，項目名稱:elasticintel，代碼行數:5，代碼來源:test_nanops.py

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