Python pandas._libs.lib.to_object_array_tuples() Examples

The following are 10 code examples of pandas._libs.lib.to_object_array_tuples(). 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._libs.lib , or try the search function .
Example #1
Source File: test_inference.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_to_object_array_tuples(self):
        r = (5, 6)
        values = [r]
        result = lib.to_object_array_tuples(values)

        try:
            # make sure record array works
            from collections import namedtuple
            record = namedtuple('record', 'x y')
            r = record(5, 6)
            values = [r]
            result = lib.to_object_array_tuples(values)  # noqa
        except ImportError:
            pass
Example #2
Source File: construction.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def _list_to_arrays(data, columns, coerce_float=False, dtype=None):
    if len(data) > 0 and isinstance(data[0], tuple):
        content = list(lib.to_object_array_tuples(data).T)
    else:
        # list of lists
        content = list(lib.to_object_array(data).T)
    return _convert_object_array(content, columns, dtype=dtype,
                                 coerce_float=coerce_float)
Example #3
Source File: test_inference.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_to_object_array_tuples(self):
        r = (5, 6)
        values = [r]
        result = lib.to_object_array_tuples(values)

        try:
            # make sure record array works
            from collections import namedtuple
            record = namedtuple('record', 'x y')
            r = record(5, 6)
            values = [r]
            result = lib.to_object_array_tuples(values)  # noqa
        except ImportError:
            pass
Example #4
Source File: test_inference.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_to_object_array_tuples(self):
        r = (5, 6)
        values = [r]
        result = lib.to_object_array_tuples(values)

        try:
            # make sure record array works
            from collections import namedtuple
            record = namedtuple('record', 'x y')
            r = record(5, 6)
            values = [r]
            result = lib.to_object_array_tuples(values)  # noqa
        except ImportError:
            pass
Example #5
Source File: construction.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def _list_to_arrays(data, columns, coerce_float=False, dtype=None):
    if len(data) > 0 and isinstance(data[0], tuple):
        content = list(lib.to_object_array_tuples(data).T)
    else:
        # list of lists
        content = list(lib.to_object_array(data).T)
    return _convert_object_array(content, columns, dtype=dtype,
                                 coerce_float=coerce_float)
Example #6
Source File: test_inference.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_to_object_array_tuples(self):
        r = (5, 6)
        values = [r]
        result = lib.to_object_array_tuples(values)

        try:
            # make sure record array works
            from collections import namedtuple
            record = namedtuple('record', 'x y')
            r = record(5, 6)
            values = [r]
            result = lib.to_object_array_tuples(values)  # noqa
        except ImportError:
            pass
Example #7
Source File: test_inference.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_to_object_array_tuples(self):
        r = (5, 6)
        values = [r]
        result = lib.to_object_array_tuples(values)

        try:
            # make sure record array works
            from collections import namedtuple
            record = namedtuple('record', 'x y')
            r = record(5, 6)
            values = [r]
            result = lib.to_object_array_tuples(values)  # noqa
        except ImportError:
            pass
Example #8
Source File: multi.py    From vnpy_crypto with MIT License 4 votes vote down vote up 
def from_tuples(cls, tuples, sortorder=None, names=None):
        """
        Convert list of tuples to MultiIndex

        Parameters
        ----------
        tuples : list / sequence of tuple-likes
            Each tuple is the index of one row/column.
        sortorder : int or None
            Level of sortedness (must be lexicographically sorted by that
            level)

        Returns
        -------
        index : MultiIndex

        Examples
        --------
        >>> tuples = [(1, u'red'), (1, u'blue'),
                      (2, u'red'), (2, u'blue')]
        >>> MultiIndex.from_tuples(tuples, names=('number', 'color'))

        See Also
        --------
        MultiIndex.from_arrays : Convert list of arrays to MultiIndex
        MultiIndex.from_product : Make a MultiIndex from cartesian product
                                  of iterables
        """
        if not is_list_like(tuples):
            raise TypeError('Input must be a list / sequence of tuple-likes.')
        elif is_iterator(tuples):
            tuples = list(tuples)

        if len(tuples) == 0:
            if names is None:
                msg = 'Cannot infer number of levels from empty list'
                raise TypeError(msg)
            arrays = [[]] * len(names)
        elif isinstance(tuples, (np.ndarray, Index)):
            if isinstance(tuples, Index):
                tuples = tuples._values

            arrays = list(lib.tuples_to_object_array(tuples).T)
        elif isinstance(tuples, list):
            arrays = list(lib.to_object_array_tuples(tuples).T)
        else:
            arrays = lzip(*tuples)

        return MultiIndex.from_arrays(arrays, sortorder=sortorder, names=names)
Example #9
Source File: multi.py    From Splunking-Crime with GNU Affero General Public License v3.0 4 votes vote down vote up 
def from_tuples(cls, tuples, sortorder=None, names=None):
        """
        Convert list of tuples to MultiIndex

        Parameters
        ----------
        tuples : list / sequence of tuple-likes
            Each tuple is the index of one row/column.
        sortorder : int or None
            Level of sortedness (must be lexicographically sorted by that
            level)

        Returns
        -------
        index : MultiIndex

        Examples
        --------
        >>> tuples = [(1, u'red'), (1, u'blue'),
                      (2, u'red'), (2, u'blue')]
        >>> MultiIndex.from_tuples(tuples, names=('number', 'color'))

        See Also
        --------
        MultiIndex.from_arrays : Convert list of arrays to MultiIndex
        MultiIndex.from_product : Make a MultiIndex from cartesian product
                                  of iterables
        """
        if len(tuples) == 0:
            if names is None:
                msg = 'Cannot infer number of levels from empty list'
                raise TypeError(msg)
            arrays = [[]] * len(names)
        elif isinstance(tuples, (np.ndarray, Index)):
            if isinstance(tuples, Index):
                tuples = tuples._values

            arrays = list(lib.tuples_to_object_array(tuples).T)
        elif isinstance(tuples, list):
            arrays = list(lib.to_object_array_tuples(tuples).T)
        else:
            arrays = lzip(*tuples)

        return MultiIndex.from_arrays(arrays, sortorder=sortorder, names=names)
Example #10
Source File: multi.py    From elasticintel with GNU General Public License v3.0 4 votes vote down vote up 
def from_tuples(cls, tuples, sortorder=None, names=None):
        """
        Convert list of tuples to MultiIndex

        Parameters
        ----------
        tuples : list / sequence of tuple-likes
            Each tuple is the index of one row/column.
        sortorder : int or None
            Level of sortedness (must be lexicographically sorted by that
            level)

        Returns
        -------
        index : MultiIndex

        Examples
        --------
        >>> tuples = [(1, u'red'), (1, u'blue'),
                      (2, u'red'), (2, u'blue')]
        >>> MultiIndex.from_tuples(tuples, names=('number', 'color'))

        See Also
        --------
        MultiIndex.from_arrays : Convert list of arrays to MultiIndex
        MultiIndex.from_product : Make a MultiIndex from cartesian product
                                  of iterables
        """
        if len(tuples) == 0:
            if names is None:
                msg = 'Cannot infer number of levels from empty list'
                raise TypeError(msg)
            arrays = [[]] * len(names)
        elif isinstance(tuples, (np.ndarray, Index)):
            if isinstance(tuples, Index):
                tuples = tuples._values

            arrays = list(lib.tuples_to_object_array(tuples).T)
        elif isinstance(tuples, list):
            arrays = list(lib.to_object_array_tuples(tuples).T)
        else:
            arrays = lzip(*tuples)

        return MultiIndex.from_arrays(arrays, sortorder=sortorder, names=names)