Python pandas.core.common.standardize_mapping() Examples

The following are 8 code examples of pandas.core.common.standardize_mapping(). 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.core.common , or try the search function .
Example #1
Source File: test_common.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def test_standardize_mapping():
    # No uninitialized defaultdicts
    with pytest.raises(TypeError):
        com.standardize_mapping(collections.defaultdict)

    # No non-mapping subtypes, instance
    with pytest.raises(TypeError):
        com.standardize_mapping([])

    # No non-mapping subtypes, class
    with pytest.raises(TypeError):
        com.standardize_mapping(list)

    fill = {'bad': 'data'}
    assert (com.standardize_mapping(fill) == dict)

    # Convert instance to type
    assert (com.standardize_mapping({}) == dict)

    dd = collections.defaultdict(list)
    assert isinstance(com.standardize_mapping(dd), partial)
Example #2
Source File: test_common.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_standardize_mapping():
    # No uninitialized defaultdicts
    with pytest.raises(TypeError):
        com.standardize_mapping(collections.defaultdict)

    # No non-mapping subtypes, instance
    with pytest.raises(TypeError):
        com.standardize_mapping([])

    # No non-mapping subtypes, class
    with pytest.raises(TypeError):
        com.standardize_mapping(list)

    fill = {'bad': 'data'}
    assert (com.standardize_mapping(fill) == dict)

    # Convert instance to type
    assert (com.standardize_mapping({}) == dict)

    dd = collections.defaultdict(list)
    assert isinstance(com.standardize_mapping(dd), partial)
Example #3
Source File: test_common.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def test_standardize_mapping():
    # No uninitialized defaultdicts
    with pytest.raises(TypeError):
        com.standardize_mapping(collections.defaultdict)

    # No non-mapping subtypes, instance
    with pytest.raises(TypeError):
        com.standardize_mapping([])

    # No non-mapping subtypes, class
    with pytest.raises(TypeError):
        com.standardize_mapping(list)

    fill = {'bad': 'data'}
    assert (com.standardize_mapping(fill) == dict)

    # Convert instance to type
    assert (com.standardize_mapping({}) == dict)

    dd = collections.defaultdict(list)
    assert isinstance(com.standardize_mapping(dd), partial)
Example #4
Source File: test_common.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_standardize_mapping():
    # No uninitialized defaultdicts
    with pytest.raises(TypeError):
        com.standardize_mapping(collections.defaultdict)

    # No non-mapping subtypes, instance
    with pytest.raises(TypeError):
        com.standardize_mapping([])

    # No non-mapping subtypes, class
    with pytest.raises(TypeError):
        com.standardize_mapping(list)

    fill = {'bad': 'data'}
    assert (com.standardize_mapping(fill) == dict)

    # Convert instance to type
    assert (com.standardize_mapping({}) == dict)

    dd = collections.defaultdict(list)
    assert isinstance(com.standardize_mapping(dd), partial)
Example #5
Source File: test_common.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_standardize_mapping():
    # No uninitialized defaultdicts
    with pytest.raises(TypeError):
        com.standardize_mapping(collections.defaultdict)

    # No non-mapping subtypes, instance
    with pytest.raises(TypeError):
        com.standardize_mapping([])

    # No non-mapping subtypes, class
    with pytest.raises(TypeError):
        com.standardize_mapping(list)

    fill = {'bad': 'data'}
    assert (com.standardize_mapping(fill) == dict)

    # Convert instance to type
    assert (com.standardize_mapping({}) == dict)

    dd = collections.defaultdict(list)
    assert isinstance(com.standardize_mapping(dd), partial)
Example #6
Source File: series.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def to_dict(self, into=dict):
        """
        Convert Series to {label -> value} dict or dict-like object.

        Parameters
        ----------
        into : class, default dict
            The collections.Mapping subclass to use as the return
            object. Can be the actual class or an empty
            instance of the mapping type you want.  If you want a
            collections.defaultdict, you must pass it initialized.

            .. versionadded:: 0.21.0

        Returns
        -------
        value_dict : collections.Mapping

        Examples
        --------
        >>> s = pd.Series([1, 2, 3, 4])
        >>> s.to_dict()
        {0: 1, 1: 2, 2: 3, 3: 4}
        >>> from collections import OrderedDict, defaultdict
        >>> s.to_dict(OrderedDict)
        OrderedDict([(0, 1), (1, 2), (2, 3), (3, 4)])
        >>> dd = defaultdict(list)
        >>> s.to_dict(dd)
        defaultdict(<type 'list'>, {0: 1, 1: 2, 2: 3, 3: 4})
        """
        # GH16122
        into_c = com.standardize_mapping(into)
        return into_c(compat.iteritems(self))
Example #7
Source File: series.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def to_dict(self, into=dict):
        """
        Convert Series to {label -> value} dict or dict-like object.

        Parameters
        ----------
        into : class, default dict
            The collections.Mapping subclass to use as the return
            object. Can be the actual class or an empty
            instance of the mapping type you want.  If you want a
            collections.defaultdict, you must pass it initialized.

            .. versionadded:: 0.21.0

        Returns
        -------
        value_dict : collections.Mapping

        Examples
        --------
        >>> s = pd.Series([1, 2, 3, 4])
        >>> s.to_dict()
        {0: 1, 1: 2, 2: 3, 3: 4}
        >>> from collections import OrderedDict, defaultdict
        >>> s.to_dict(OrderedDict)
        OrderedDict([(0, 1), (1, 2), (2, 3), (3, 4)])
        >>> dd = defaultdict(list)
        >>> s.to_dict(dd)
        defaultdict(<type 'list'>, {0: 1, 1: 2, 2: 3, 3: 4})
        """
        # GH16122
        into_c = com.standardize_mapping(into)
        return into_c(compat.iteritems(self))
Example #8
Source File: series.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def to_dict(self, into=dict):
        """
        Convert Series to {label -> value} dict or dict-like object.

        Parameters
        ----------
        into : class, default dict
            The collections.Mapping subclass to use as the return
            object. Can be the actual class or an empty
            instance of the mapping type you want.  If you want a
            collections.defaultdict, you must pass it initialized.

            .. versionadded:: 0.21.0

        Returns
        -------
        value_dict : collections.Mapping

        Examples
        --------
        >>> s = pd.Series([1, 2, 3, 4])
        >>> s.to_dict()
        {0: 1, 1: 2, 2: 3, 3: 4}
        >>> from collections import OrderedDict, defaultdict
        >>> s.to_dict(OrderedDict)
        OrderedDict([(0, 1), (1, 2), (2, 3), (3, 4)])
        >>> dd = defaultdict(list)
        >>> s.to_dict(dd)
        defaultdict(<type 'list'>, {0: 1, 1: 2, 2: 3, 3: 4})
        """
        # GH16122
        into_c = com.standardize_mapping(into)
        return into_c(compat.iteritems(self))