Python pandas.util.testing.makeBoolIndex() Examples

The following are 7 code examples of pandas.util.testing.makeBoolIndex(). 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_reductions.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def get_objs():
    indexes = [
        tm.makeBoolIndex(10, name='a'),
        tm.makeIntIndex(10, name='a'),
        tm.makeFloatIndex(10, name='a'),
        tm.makeDateIndex(10, name='a'),
        tm.makeDateIndex(10, name='a').tz_localize(tz='US/Eastern'),
        tm.makePeriodIndex(10, name='a'),
        tm.makeStringIndex(10, name='a'),
        tm.makeUnicodeIndex(10, name='a')
    ]

    arr = np.random.randn(10)
    series = [Series(arr, index=idx, name='a') for idx in indexes]

    objs = indexes + series
    return objs
Example #2
Source File: test_base.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def setup_method(self, method):
        self.bool_index = tm.makeBoolIndex(10, name='a')
        self.int_index = tm.makeIntIndex(10, name='a')
        self.float_index = tm.makeFloatIndex(10, name='a')
        self.dt_index = tm.makeDateIndex(10, name='a')
        self.dt_tz_index = tm.makeDateIndex(10, name='a').tz_localize(
            tz='US/Eastern')
        self.period_index = tm.makePeriodIndex(10, name='a')
        self.string_index = tm.makeStringIndex(10, name='a')
        self.unicode_index = tm.makeUnicodeIndex(10, name='a')

        arr = np.random.randn(10)
        self.int_series = Series(arr, index=self.int_index, name='a')
        self.float_series = Series(arr, index=self.float_index, name='a')
        self.dt_series = Series(arr, index=self.dt_index, name='a')
        self.dt_tz_series = self.dt_tz_index.to_series(keep_tz=True)
        self.period_series = Series(arr, index=self.period_index, name='a')
        self.string_series = Series(arr, index=self.string_index, name='a')

        types = ['bool', 'int', 'float', 'dt', 'dt_tz', 'period', 'string',
                 'unicode']
        fmts = ["{0}_{1}".format(t, f)
                for t in types for f in ['index', 'series']]
        self.objs = [getattr(self, f)
                     for f in fmts if getattr(self, f, None) is not None]
Example #3
Source File: test_reductions.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def get_objs():
    indexes = [
        tm.makeBoolIndex(10, name='a'),
        tm.makeIntIndex(10, name='a'),
        tm.makeFloatIndex(10, name='a'),
        tm.makeDateIndex(10, name='a'),
        tm.makeDateIndex(10, name='a').tz_localize(tz='US/Eastern'),
        tm.makePeriodIndex(10, name='a'),
        tm.makeStringIndex(10, name='a'),
        tm.makeUnicodeIndex(10, name='a')
    ]

    arr = np.random.randn(10)
    series = [Series(arr, index=idx, name='a') for idx in indexes]

    objs = indexes + series
    return objs
Example #4
Source File: test_base.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def setup_method(self, method):
        self.bool_index = tm.makeBoolIndex(10, name='a')
        self.int_index = tm.makeIntIndex(10, name='a')
        self.float_index = tm.makeFloatIndex(10, name='a')
        self.dt_index = tm.makeDateIndex(10, name='a')
        self.dt_tz_index = tm.makeDateIndex(10, name='a').tz_localize(
            tz='US/Eastern')
        self.period_index = tm.makePeriodIndex(10, name='a')
        self.string_index = tm.makeStringIndex(10, name='a')
        self.unicode_index = tm.makeUnicodeIndex(10, name='a')

        arr = np.random.randn(10)
        self.int_series = Series(arr, index=self.int_index, name='a')
        self.float_series = Series(arr, index=self.float_index, name='a')
        self.dt_series = Series(arr, index=self.dt_index, name='a')
        self.dt_tz_series = self.dt_tz_index.to_series(keep_tz=True)
        self.period_series = Series(arr, index=self.period_index, name='a')
        self.string_series = Series(arr, index=self.string_index, name='a')

        types = ['bool', 'int', 'float', 'dt', 'dt_tz', 'period', 'string',
                 'unicode']
        fmts = ["{0}_{1}".format(t, f)
                for t in types for f in ['index', 'series']]
        self.objs = [getattr(self, f)
                     for f in fmts if getattr(self, f, None) is not None]
Example #5
Source File: test_base.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def setup_method(self, method):
        self.bool_index = tm.makeBoolIndex(10, name='a')
        self.int_index = tm.makeIntIndex(10, name='a')
        self.float_index = tm.makeFloatIndex(10, name='a')
        self.dt_index = tm.makeDateIndex(10, name='a')
        self.dt_tz_index = tm.makeDateIndex(10, name='a').tz_localize(
            tz='US/Eastern')
        self.period_index = tm.makePeriodIndex(10, name='a')
        self.string_index = tm.makeStringIndex(10, name='a')
        self.unicode_index = tm.makeUnicodeIndex(10, name='a')

        arr = np.random.randn(10)
        self.int_series = Series(arr, index=self.int_index, name='a')
        self.float_series = Series(arr, index=self.float_index, name='a')
        self.dt_series = Series(arr, index=self.dt_index, name='a')
        self.dt_tz_series = self.dt_tz_index.to_series(keep_tz=True)
        self.period_series = Series(arr, index=self.period_index, name='a')
        self.string_series = Series(arr, index=self.string_index, name='a')

        types = ['bool', 'int', 'float', 'dt', 'dt_tz', 'period', 'string',
                 'unicode']
        fmts = ["{0}_{1}".format(t, f)
                for t in types for f in ['index', 'series']]
        self.objs = [getattr(self, f)
                     for f in fmts if getattr(self, f, None) is not None]
Example #6
Source File: test_base.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def setup_method(self, method):
        self.bool_index = tm.makeBoolIndex(10, name='a')
        self.int_index = tm.makeIntIndex(10, name='a')
        self.float_index = tm.makeFloatIndex(10, name='a')
        self.dt_index = tm.makeDateIndex(10, name='a')
        self.dt_tz_index = tm.makeDateIndex(10, name='a').tz_localize(
            tz='US/Eastern')
        self.period_index = tm.makePeriodIndex(10, name='a')
        self.string_index = tm.makeStringIndex(10, name='a')
        self.unicode_index = tm.makeUnicodeIndex(10, name='a')

        arr = np.random.randn(10)
        self.bool_series = Series(arr, index=self.bool_index, name='a')
        self.int_series = Series(arr, index=self.int_index, name='a')
        self.float_series = Series(arr, index=self.float_index, name='a')
        self.dt_series = Series(arr, index=self.dt_index, name='a')
        self.dt_tz_series = self.dt_tz_index.to_series(keep_tz=True)
        self.period_series = Series(arr, index=self.period_index, name='a')
        self.string_series = Series(arr, index=self.string_index, name='a')
        self.unicode_series = Series(arr, index=self.unicode_index, name='a')

        types = ['bool', 'int', 'float', 'dt', 'dt_tz', 'period', 'string',
                 'unicode']
        self.indexes = [getattr(self, '{}_index'.format(t)) for t in types]
        self.series = [getattr(self, '{}_series'.format(t)) for t in types]
        self.objs = self.indexes + self.series
Example #7
Source File: test_base.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def setup_method(self, method):
        self.bool_index = tm.makeBoolIndex(10, name='a')
        self.int_index = tm.makeIntIndex(10, name='a')
        self.float_index = tm.makeFloatIndex(10, name='a')
        self.dt_index = tm.makeDateIndex(10, name='a')
        self.dt_tz_index = tm.makeDateIndex(10, name='a').tz_localize(
            tz='US/Eastern')
        self.period_index = tm.makePeriodIndex(10, name='a')
        self.string_index = tm.makeStringIndex(10, name='a')
        self.unicode_index = tm.makeUnicodeIndex(10, name='a')

        arr = np.random.randn(10)
        self.bool_series = Series(arr, index=self.bool_index, name='a')
        self.int_series = Series(arr, index=self.int_index, name='a')
        self.float_series = Series(arr, index=self.float_index, name='a')
        self.dt_series = Series(arr, index=self.dt_index, name='a')
        self.dt_tz_series = self.dt_tz_index.to_series(keep_tz=True)
        self.period_series = Series(arr, index=self.period_index, name='a')
        self.string_series = Series(arr, index=self.string_index, name='a')
        self.unicode_series = Series(arr, index=self.unicode_index, name='a')

        types = ['bool', 'int', 'float', 'dt', 'dt_tz', 'period', 'string',
                 'unicode']
        self.indexes = [getattr(self, '{}_index'.format(t)) for t in types]
        self.series = [getattr(self, '{}_series'.format(t)) for t in types]
        self.objs = self.indexes + self.series