Python common._all_not_none方法代码示例

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def set_default_names(data):
    """Sets index names to 'index' for regular, or 'level_x' for Multi"""
    if com._all_not_none(*data.index.names):
        nms = data.index.names
        if len(nms) == 1 and data.index.name == 'index':
            warnings.warn("Index name of 'index' is not round-trippable")
        elif len(nms) > 1 and any(x.startswith('level_') for x in nms):
            warnings.warn("Index names beginning with 'level_' are not "
                          "round-trippable")
        return data

    data = data.copy()
    if data.index.nlevels > 1:
        names = [name if name is not None else 'level_{}'.format(i)
                 for i, name in enumerate(data.index.names)]
        data.index.names = names
    else:
        data.index.name = data.index.name or 'index'
    return data 

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def test_all_not_none():
    assert (com._all_not_none(1, 2, 3, 4))
    assert (not com._all_not_none(1, 2, 3, None))
    assert (not com._all_not_none(None, None, None, None)) 

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def set_locale(new_locale, lc_var=locale.LC_ALL):
    """Context manager for temporarily setting a locale.

    Parameters
    ----------
    new_locale : str or tuple
        A string of the form <language_country>.<encoding>. For example to set
        the current locale to US English with a UTF8 encoding, you would pass
        "en_US.UTF-8".
    lc_var : int, default `locale.LC_ALL`
        The category of the locale being set.

    Notes
    -----
    This is useful when you want to run a particular block of code under a
    particular locale, without globally setting the locale. This probably isn't
    thread-safe.
    """
    current_locale = locale.getlocale()

    try:
        locale.setlocale(lc_var, new_locale)
        normalized_locale = locale.getlocale()
        if com._all_not_none(*normalized_locale):
            yield '.'.join(normalized_locale)
        else:
            yield new_locale
    finally:
        locale.setlocale(lc_var, current_locale) 

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def _init_data(self, data, copy, dtype, **kwargs):
        """
        Generate ND initialization; axes are passed
        as required objects to __init__.
        """
        if data is None:
            data = {}
        if dtype is not None:
            dtype = self._validate_dtype(dtype)

        passed_axes = [kwargs.pop(a, None) for a in self._AXIS_ORDERS]

        if kwargs:
            raise TypeError('_init_data() got an unexpected keyword '
                            'argument "{0}"'.format(list(kwargs.keys())[0]))

        axes = None
        if isinstance(data, BlockManager):
            if com._any_not_none(*passed_axes):
                axes = [x if x is not None else y
                        for x, y in zip(passed_axes, data.axes)]
            mgr = data
        elif isinstance(data, dict):
            mgr = self._init_dict(data, passed_axes, dtype=dtype)
            copy = False
            dtype = None
        elif isinstance(data, (np.ndarray, list)):
            mgr = self._init_matrix(data, passed_axes, dtype=dtype, copy=copy)
            copy = False
            dtype = None
        elif is_scalar(data) and com._all_not_none(*passed_axes):
            values = cast_scalar_to_array([len(x) for x in passed_axes],
                                          data, dtype=dtype)
            mgr = self._init_matrix(values, passed_axes, dtype=values.dtype,
                                    copy=False)
            copy = False
        else:  # pragma: no cover
            raise ValueError('Panel constructor not properly called!')

        NDFrame.__init__(self, mgr, axes=axes, copy=copy, dtype=dtype) 

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def set_locale(new_locale, lc_var=locale.LC_ALL):
    """Context manager for temporarily setting a locale.

    Parameters
    ----------
    new_locale : str or tuple
        A string of the form <language_country>.<encoding>. For example to set
        the current locale to US English with a UTF8 encoding, you would pass
        "en_US.UTF-8".

    Notes
    -----
    This is useful when you want to run a particular block of code under a
    particular locale, without globally setting the locale. This probably isn't
    thread-safe.
    """
    current_locale = locale.getlocale()

    try:
        locale.setlocale(lc_var, new_locale)

        try:
            normalized_locale = locale.getlocale()
        except ValueError:
            yield new_locale
        else:
            if com._all_not_none(*normalized_locale):
                yield '.'.join(normalized_locale)
            else:
                yield new_locale
    finally:
        locale.setlocale(lc_var, current_locale) 

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def __new__(cls, data, closed=None, dtype=None, copy=False,
                name=None, fastpath=False, verify_integrity=True):

        if fastpath:
            return cls._simple_new(data.left, data.right, closed, name,
                                   copy=copy, verify_integrity=False)

        if name is None and hasattr(data, 'name'):
            name = data.name

        if isinstance(data, IntervalIndex):
            left = data.left
            right = data.right
            closed = data.closed
        else:

            # don't allow scalars
            if is_scalar(data):
                cls._scalar_data_error(data)

            data = maybe_convert_platform_interval(data)
            left, right, infer_closed = intervals_to_interval_bounds(data)

            if (com._all_not_none(closed, infer_closed) and
                    closed != infer_closed):
                # GH 18421
                msg = ("conflicting values for closed: constructor got "
                       "'{closed}', inferred from data '{infer_closed}'"
                       .format(closed=closed, infer_closed=infer_closed))
                raise ValueError(msg)

            closed = closed or infer_closed

        return cls._simple_new(left, right, closed, name, copy=copy,
                               dtype=dtype, verify_integrity=verify_integrity) 

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def _init_data(self, data, copy, dtype, **kwargs):
        """
        Generate ND initialization; axes are passed
        as required objects to __init__
        """
        if data is None:
            data = {}
        if dtype is not None:
            dtype = self._validate_dtype(dtype)

        passed_axes = [kwargs.pop(a, None) for a in self._AXIS_ORDERS]

        if kwargs:
            raise TypeError('_init_data() got an unexpected keyword '
                            'argument "{0}"'.format(list(kwargs.keys())[0]))

        axes = None
        if isinstance(data, BlockManager):
            if com._any_not_none(*passed_axes):
                axes = [x if x is not None else y
                        for x, y in zip(passed_axes, data.axes)]
            mgr = data
        elif isinstance(data, dict):
            mgr = self._init_dict(data, passed_axes, dtype=dtype)
            copy = False
            dtype = None
        elif isinstance(data, (np.ndarray, list)):
            mgr = self._init_matrix(data, passed_axes, dtype=dtype, copy=copy)
            copy = False
            dtype = None
        elif is_scalar(data) and com._all_not_none(*passed_axes):
            values = cast_scalar_to_array([len(x) for x in passed_axes],
                                          data, dtype=dtype)
            mgr = self._init_matrix(values, passed_axes, dtype=values.dtype,
                                    copy=False)
            copy = False
        else:  # pragma: no cover
            raise ValueError('Panel constructor not properly called!')

        NDFrame.__init__(self, mgr, axes=axes, copy=copy, dtype=dtype) 

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def set_locale(new_locale, lc_var=locale.LC_ALL):
    """Context manager for temporarily setting a locale.

    Parameters
    ----------
    new_locale : str or tuple
        A string of the form <language_country>.<encoding>. For example to set
        the current locale to US English with a UTF8 encoding, you would pass
        "en_US.UTF-8".

    Notes
    -----
    This is useful when you want to run a particular block of code under a
    particular locale, without globally setting the locale. This probably isn't
    thread-safe.
    """
    current_locale = locale.getlocale()

    try:
        locale.setlocale(lc_var, new_locale)

        try:
            normalized_locale = locale.getlocale()
        except ValueError:
            yield new_locale
        else:
            if _all_not_none(*normalized_locale):
                yield '.'.join(normalized_locale)
            else:
                yield new_locale
    finally:
        locale.setlocale(lc_var, current_locale) 

# 需要导入模块: from pandas.core import common [as 别名]
# 或者: from pandas.core.common import _all_not_none [as 别名]
def set_default_names(data):
    """Sets index names to 'index' for regular, or 'level_x' for Multi"""
    if _all_not_none(*data.index.names):
        return data

    data = data.copy()
    if data.index.nlevels > 1:
        names = [name if name is not None else 'level_{}'.format(i)
                 for i, name in enumerate(data.index.names)]
        data.index.names = names
    else:
        data.index.name = data.index.name or 'index'
    return data