Python compat.DeepChainMap方法代码示例

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import DeepChainMap [as 别名]
def __init__(self, where, queryables=None, encoding=None, scope_level=0):

        where = _validate_where(where)

        self.encoding = encoding
        self.condition = None
        self.filter = None
        self.terms = None
        self._visitor = None

        # capture the environment if needed
        local_dict = DeepChainMap()

        if isinstance(where, Expr):
            local_dict = where.env.scope
            where = where.expr

        elif isinstance(where, (list, tuple)):
            for idx, w in enumerate(where):
                if isinstance(w, Expr):
                    local_dict = w.env.scope
                else:
                    w = _validate_where(w)
                    where[idx] = w
            where = ' & '.join(map('({})'.format, com.flatten(where)))  # noqa

        self.expr = where
        self.env = Scope(scope_level + 1, local_dict=local_dict)

        if queryables is not None and isinstance(self.expr, string_types):
            self.env.queryables.update(queryables)
            self._visitor = ExprVisitor(self.env, queryables=queryables,
                                        parser='pytables', engine='pytables',
                                        encoding=encoding)
            self.terms = self.parse() 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import DeepChainMap [as 别名]
def __init__(self, level, global_dict=None, local_dict=None, resolvers=(),
                 target=None):
        self.level = level + 1

        # shallow copy because we don't want to keep filling this up with what
        # was there before if there are multiple calls to Scope/_ensure_scope
        self.scope = DeepChainMap(_DEFAULT_GLOBALS.copy())
        self.target = target

        if isinstance(local_dict, Scope):
            self.scope.update(local_dict.scope)
            if local_dict.target is not None:
                self.target = local_dict.target
            self.update(local_dict.level)

        frame = sys._getframe(self.level)

        try:
            # shallow copy here because we don't want to replace what's in
            # scope when we align terms (alignment accesses the underlying
            # numpy array of pandas objects)
            self.scope = self.scope.new_child((global_dict or
                                               frame.f_globals).copy())
            if not isinstance(local_dict, Scope):
                self.scope = self.scope.new_child((local_dict or
                                                   frame.f_locals).copy())
        finally:
            del frame

        # assumes that resolvers are going from outermost scope to inner
        if isinstance(local_dict, Scope):
            resolvers += tuple(local_dict.resolvers.maps)
        self.resolvers = DeepChainMap(*resolvers)
        self.temps = {} 

# 需要导入模块: from pandas import compat [as 别名]
# 或者: from pandas.compat import DeepChainMap [as 别名]
def full_scope(self):
        """Return the full scope for use with passing to engines transparently
        as a mapping.

        Returns
        -------
        vars : DeepChainMap
            All variables in this scope.
        """
        maps = [self.temps] + self.resolvers.maps + self.scope.maps
        return DeepChainMap(*maps)