Python testing.getMixedTypeDict方法代碼示例

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

在下文中一共展示了testing.getMixedTypeDict方法的7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: setup_method

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import getMixedTypeDict [as 別名]
def setup_method(self, method):
        # aggregate multiple columns
        self.df = DataFrame({'key1': get_test_data(),
                             'key2': get_test_data(),
                             'data1': np.random.randn(N),
                             'data2': np.random.randn(N)})

        # exclude a couple keys for fun
        self.df = self.df[self.df['key2'] > 1]

        self.df2 = DataFrame({'key1': get_test_data(n=N // 5),
                              'key2': get_test_data(ngroups=NGROUPS // 2,
                                                    n=N // 5),
                              'value': np.random.randn(N // 5)})

        index, data = tm.getMixedTypeDict()
        self.target = DataFrame(data, index=index)

        # Join on string value
        self.source = DataFrame({'MergedA': data['A'], 'MergedD': data['D']},
                                index=data['C'])

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:23，代碼來源:test_join.py

示例2: test_transpose

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import getMixedTypeDict [as 別名]
def test_transpose(self, float_frame):
        frame = float_frame
        dft = frame.T
        for idx, series in compat.iteritems(dft):
            for col, value in compat.iteritems(series):
                if np.isnan(value):
                    assert np.isnan(frame[col][idx])
                else:
                    assert value == frame[col][idx]

        # mixed type
        index, data = tm.getMixedTypeDict()
        mixed = self.klass(data, index=index)

        mixed_T = mixed.T
        for col, s in compat.iteritems(mixed_T):
            assert s.dtype == np.object_

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

示例3: test_transpose

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import getMixedTypeDict [as 別名]
def test_transpose(self):
        frame = self.frame
        dft = frame.T
        for idx, series in compat.iteritems(dft):
            for col, value in compat.iteritems(series):
                if np.isnan(value):
                    assert np.isnan(frame[col][idx])
                else:
                    assert value == frame[col][idx]

        # mixed type
        index, data = tm.getMixedTypeDict()
        mixed = self.klass(data, index=index)

        mixed_T = mixed.T
        for col, s in compat.iteritems(mixed_T):
            assert s.dtype == np.object_

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

示例4: test_constructor_mixed

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import getMixedTypeDict [as 別名]
def test_constructor_mixed(self):
        index, data = tm.getMixedTypeDict()

        # TODO(wesm), incomplete test?
        indexed_frame = DataFrame(data, index=index)  # noqa
        unindexed_frame = DataFrame(data)  # noqa

        assert self.mixed_frame['foo'].dtype == np.object_

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:10，代碼來源:test_constructors.py

示例5: setUp

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import getMixedTypeDict [as 別名]
def setUp(self):
        # aggregate multiple columns
        self.df = DataFrame({'key1': get_test_data(),
                             'key2': get_test_data(),
                             'data1': np.random.randn(N),
                             'data2': np.random.randn(N)})

        # exclude a couple keys for fun
        self.df = self.df[self.df['key2'] > 1]

        self.df2 = DataFrame({'key1': get_test_data(n=N // 5),
                              'key2': get_test_data(ngroups=NGROUPS // 2,
                                                    n=N // 5),
                              'value': np.random.randn(N // 5)})

        index, data = tm.getMixedTypeDict()
        self.target = DataFrame(data, index=index)

        # Join on string value
        self.source = DataFrame({'MergedA': data['A'], 'MergedD': data['D']},
                                index=data['C'])

        self.left = DataFrame({'key': ['a', 'b', 'c', 'd', 'e', 'e', 'a'],
                               'v1': np.random.randn(7)})
        self.right = DataFrame({'v2': np.random.randn(4)},
                               index=['d', 'b', 'c', 'a'])

開發者ID:ktraunmueller，項目名稱:Computable，代碼行數:28，代碼來源:test_merge.py

示例6: test_map

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import getMixedTypeDict [as 別名]
def test_map(self, datetime_series):
        index, data = tm.getMixedTypeDict()

        source = Series(data['B'], index=data['C'])
        target = Series(data['C'][:4], index=data['D'][:4])

        merged = target.map(source)

        for k, v in compat.iteritems(merged):
            assert v == source[target[k]]

        # input could be a dict
        merged = target.map(source.to_dict())

        for k, v in compat.iteritems(merged):
            assert v == source[target[k]]

        # function
        result = datetime_series.map(lambda x: x * 2)
        tm.assert_series_equal(result, datetime_series * 2)

        # GH 10324
        a = Series([1, 2, 3, 4])
        b = Series(["even", "odd", "even", "odd"], dtype="category")
        c = Series(["even", "odd", "even", "odd"])

        exp = Series(["odd", "even", "odd", np.nan], dtype="category")
        tm.assert_series_equal(a.map(b), exp)
        exp = Series(["odd", "even", "odd", np.nan])
        tm.assert_series_equal(a.map(c), exp)

        a = Series(['a', 'b', 'c', 'd'])
        b = Series([1, 2, 3, 4],
                   index=pd.CategoricalIndex(['b', 'c', 'd', 'e']))
        c = Series([1, 2, 3, 4], index=Index(['b', 'c', 'd', 'e']))

        exp = Series([np.nan, 1, 2, 3])
        tm.assert_series_equal(a.map(b), exp)
        exp = Series([np.nan, 1, 2, 3])
        tm.assert_series_equal(a.map(c), exp)

        a = Series(['a', 'b', 'c', 'd'])
        b = Series(['B', 'C', 'D', 'E'], dtype='category',
                   index=pd.CategoricalIndex(['b', 'c', 'd', 'e']))
        c = Series(['B', 'C', 'D', 'E'], index=Index(['b', 'c', 'd', 'e']))

        exp = Series(pd.Categorical([np.nan, 'B', 'C', 'D'],
                                    categories=['B', 'C', 'D', 'E']))
        tm.assert_series_equal(a.map(b), exp)
        exp = Series([np.nan, 'B', 'C', 'D'])
        tm.assert_series_equal(a.map(c), exp)

開發者ID:Frank-qlu，項目名稱:recruit，代碼行數:53，代碼來源:test_apply.py

示例7: test_map

# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import getMixedTypeDict [as 別名]
def test_map(self):
        index, data = tm.getMixedTypeDict()

        source = Series(data['B'], index=data['C'])
        target = Series(data['C'][:4], index=data['D'][:4])

        merged = target.map(source)

        for k, v in compat.iteritems(merged):
            assert v == source[target[k]]

        # input could be a dict
        merged = target.map(source.to_dict())

        for k, v in compat.iteritems(merged):
            assert v == source[target[k]]

        # function
        result = self.ts.map(lambda x: x * 2)
        tm.assert_series_equal(result, self.ts * 2)

        # GH 10324
        a = Series([1, 2, 3, 4])
        b = Series(["even", "odd", "even", "odd"], dtype="category")
        c = Series(["even", "odd", "even", "odd"])

        exp = Series(["odd", "even", "odd", np.nan], dtype="category")
        tm.assert_series_equal(a.map(b), exp)
        exp = Series(["odd", "even", "odd", np.nan])
        tm.assert_series_equal(a.map(c), exp)

        a = Series(['a', 'b', 'c', 'd'])
        b = Series([1, 2, 3, 4],
                   index=pd.CategoricalIndex(['b', 'c', 'd', 'e']))
        c = Series([1, 2, 3, 4], index=Index(['b', 'c', 'd', 'e']))

        exp = Series([np.nan, 1, 2, 3])
        tm.assert_series_equal(a.map(b), exp)
        exp = Series([np.nan, 1, 2, 3])
        tm.assert_series_equal(a.map(c), exp)

        a = Series(['a', 'b', 'c', 'd'])
        b = Series(['B', 'C', 'D', 'E'], dtype='category',
                   index=pd.CategoricalIndex(['b', 'c', 'd', 'e']))
        c = Series(['B', 'C', 'D', 'E'], index=Index(['b', 'c', 'd', 'e']))

        exp = Series(pd.Categorical([np.nan, 'B', 'C', 'D'],
                                    categories=['B', 'C', 'D', 'E']))
        tm.assert_series_equal(a.map(b), exp)
        exp = Series([np.nan, 'B', 'C', 'D'])
        tm.assert_series_equal(a.map(c), exp)

開發者ID:birforce，項目名稱:vnpy_crypto，代碼行數:53，代碼來源:test_apply.py

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