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Python _iotools._is_string_like方法代码示例

本文整理汇总了Python中numpy.lib._iotools._is_string_like方法的典型用法代码示例。如果您正苦于以下问题:Python _iotools._is_string_like方法的具体用法?Python _iotools._is_string_like怎么用?Python _iotools._is_string_like使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在numpy.lib._iotools的用法示例。


在下文中一共展示了_iotools._is_string_like方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: get_file_obj

# 需要导入模块: from numpy.lib import _iotools [as 别名]
# 或者: from numpy.lib._iotools import _is_string_like [as 别名]
def get_file_obj(fname, mode='r', encoding=None):
    """
    Light wrapper to handle strings and let files (anything else) pass through.

    It also handle '.gz' files.

    Parameters
    ==========
    fname: string or file-like object
        File to open / forward
    mode: string
        Argument passed to the 'open' or 'gzip.open' function
    encoding: string
        For Python 3 only, specify the encoding of the file

    Returns
    =======
    A file-like object that is always a context-manager. If the `fname` was already a file-like object,
    the returned context manager *will not close the file*.
    """
    if _is_string_like(fname):
        return _open(fname, mode, encoding)
    try:
        # Make sure the object has the write methods
        if 'r' in mode:
            fname.read
        if 'w' in mode or 'a' in mode:
            fname.write
    except AttributeError:
        raise ValueError('fname must be a string or a file-like object')
    return EmptyContextManager(fname) 
开发者ID:birforce,项目名称:vnpy_crypto,代码行数:33,代码来源:openfile.py

示例2: drop_fields

# 需要导入模块: from numpy.lib import _iotools [as 别名]
# 或者: from numpy.lib._iotools import _is_string_like [as 别名]
def drop_fields(base, drop_names, usemask=True, asrecarray=False):
    """
    Return a new array with fields in `drop_names` dropped.

    Nested fields are supported.

    Parameters
    ----------
    base : array
        Input array
    drop_names : string or sequence
        String or sequence of strings corresponding to the names of the fields
        to drop.
    usemask : {False, True}, optional
        Whether to return a masked array or not.
    asrecarray : string or sequence
        Whether to return a recarray or a mrecarray (`asrecarray=True`) or
        a plain ndarray or masked array with flexible dtype (`asrecarray=False`)

    Examples
    --------
    >>> from numpy.lib import recfunctions as rfn
    >>> a = np.array([(1, (2, 3.0)), (4, (5, 6.0))],
    ...   dtype=[('a', int), ('b', [('ba', float), ('bb', int)])])
    >>> rfn.drop_fields(a, 'a')
    array([((2.0, 3),), ((5.0, 6),)],
          dtype=[('b', [('ba', '<f8'), ('bb', '<i4')])])
    >>> rfn.drop_fields(a, 'ba')
    array([(1, (3,)), (4, (6,))],
          dtype=[('a', '<i4'), ('b', [('bb', '<i4')])])
    >>> rfn.drop_fields(a, ['ba', 'bb'])
    array([(1,), (4,)],
          dtype=[('a', '<i4')])
    """
    if _is_string_like(drop_names):
        drop_names = [drop_names, ]
    else:
        drop_names = set(drop_names)
    #
    def _drop_descr(ndtype, drop_names):
        names = ndtype.names
        newdtype = []
        for name in names:
            current = ndtype[name]
            if name in drop_names:
                continue
            if current.names:
                descr = _drop_descr(current, drop_names)
                if descr:
                    newdtype.append((name, descr))
            else:
                newdtype.append((name, current))
        return newdtype
    #
    newdtype = _drop_descr(base.dtype, drop_names)
    if not newdtype:
        return None
    #
    output = np.empty(base.shape, dtype=newdtype)
    output = recursive_fill_fields(base, output)
    return _fix_output(output, usemask=usemask, asrecarray=asrecarray) 
开发者ID:ktraunmueller,项目名称:Computable,代码行数:63,代码来源:recfunctions.py


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