Python pandas.util.testing.makeMissingDataframe() Examples

The following are 3 code examples of pandas.util.testing.makeMissingDataframe(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas.util.testing , or try the search function .
Example #1
Source File: test_hashing.py    From vnpy_crypto with MIT License 5 votes vote down vote up
def test_hash_pandas_object(self):

        for obj in [Series([1, 2, 3]),
                    Series([1.0, 1.5, 3.2]),
                    Series([1.0, 1.5, np.nan]),
                    Series([1.0, 1.5, 3.2], index=[1.5, 1.1, 3.3]),
                    Series(['a', 'b', 'c']),
                    Series(['a', np.nan, 'c']),
                    Series(['a', None, 'c']),
                    Series([True, False, True]),
                    Series(),
                    Index([1, 2, 3]),
                    Index([True, False, True]),
                    DataFrame({'x': ['a', 'b', 'c'], 'y': [1, 2, 3]}),
                    DataFrame(),
                    tm.makeMissingDataframe(),
                    tm.makeMixedDataFrame(),
                    tm.makeTimeDataFrame(),
                    tm.makeTimeSeries(),
                    tm.makeTimedeltaIndex(),
                    tm.makePeriodIndex(),
                    Series(tm.makePeriodIndex()),
                    Series(pd.date_range('20130101',
                                         periods=3, tz='US/Eastern')),
                    MultiIndex.from_product(
                        [range(5),
                         ['foo', 'bar', 'baz'],
                         pd.date_range('20130101', periods=2)]),
                    MultiIndex.from_product(
                        [pd.CategoricalIndex(list('aabc')),
                         range(3)])]:
            self.check_equal(obj)
            self.check_not_equal_with_index(obj) 
Example #2
Source File: test_hashing.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up
def test_hash_pandas_object(self):

        for obj in [Series([1, 2, 3]),
                    Series([1.0, 1.5, 3.2]),
                    Series([1.0, 1.5, np.nan]),
                    Series([1.0, 1.5, 3.2], index=[1.5, 1.1, 3.3]),
                    Series(['a', 'b', 'c']),
                    Series(['a', np.nan, 'c']),
                    Series(['a', None, 'c']),
                    Series([True, False, True]),
                    Series(),
                    Index([1, 2, 3]),
                    Index([True, False, True]),
                    DataFrame({'x': ['a', 'b', 'c'], 'y': [1, 2, 3]}),
                    DataFrame(),
                    tm.makeMissingDataframe(),
                    tm.makeMixedDataFrame(),
                    tm.makeTimeDataFrame(),
                    tm.makeTimeSeries(),
                    tm.makeTimedeltaIndex(),
                    tm.makePeriodIndex(),
                    Series(tm.makePeriodIndex()),
                    Series(pd.date_range('20130101',
                                         periods=3, tz='US/Eastern')),
                    MultiIndex.from_product(
                        [range(5),
                         ['foo', 'bar', 'baz'],
                         pd.date_range('20130101', periods=2)]),
                    MultiIndex.from_product(
                        [pd.CategoricalIndex(list('aabc')),
                         range(3)])]:
            self.check_equal(obj)
            self.check_not_equal_with_index(obj) 
Example #3
Source File: test_hashing.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up
def test_hash_pandas_object(self):

        for obj in [Series([1, 2, 3]),
                    Series([1.0, 1.5, 3.2]),
                    Series([1.0, 1.5, np.nan]),
                    Series([1.0, 1.5, 3.2], index=[1.5, 1.1, 3.3]),
                    Series(['a', 'b', 'c']),
                    Series(['a', np.nan, 'c']),
                    Series(['a', None, 'c']),
                    Series([True, False, True]),
                    Series(),
                    Index([1, 2, 3]),
                    Index([True, False, True]),
                    DataFrame({'x': ['a', 'b', 'c'], 'y': [1, 2, 3]}),
                    DataFrame(),
                    tm.makeMissingDataframe(),
                    tm.makeMixedDataFrame(),
                    tm.makeTimeDataFrame(),
                    tm.makeTimeSeries(),
                    tm.makeTimedeltaIndex(),
                    tm.makePeriodIndex(),
                    Series(tm.makePeriodIndex()),
                    Series(pd.date_range('20130101',
                                         periods=3, tz='US/Eastern')),
                    MultiIndex.from_product(
                        [range(5),
                         ['foo', 'bar', 'baz'],
                         pd.date_range('20130101', periods=2)]),
                    MultiIndex.from_product(
                        [pd.CategoricalIndex(list('aabc')),
                         range(3)])]:
            self.check_equal(obj)
            self.check_not_equal_with_index(obj)