Function startswith

numpy/_core/strings.py:450–487

Returns a boolean array which is `True` where the string element in ``a`` starts with ``prefix``, otherwise `False`. Parameters ---------- a : array-like, with ``StringDType``, ``bytes_``, or ``str_`` dtype prefix : array-like, with ``StringDType``, ``bytes_``, or ``str_``

(a, prefix, start=0, end=None)

@set_module("numpy.strings")
def startswith(a, prefix, start=0, end=None):
    """
    Returns a boolean array which is `True` where the string element
    in ``a`` starts with ``prefix``, otherwise `False`.

    Parameters
    ----------
    a : array-like, with ``StringDType``, ``bytes_``, or ``str_`` dtype

    prefix : array-like, with ``StringDType``, ``bytes_``, or ``str_`` dtype

    start, end : array_like, with any integer dtype
        With ``start``, test beginning at that position. With ``end``,
        stop comparing at that position.

    Returns
    -------
    out : ndarray
        Output array of bools

    See Also
    --------
    str.startswith

    Examples
    --------
    >>> import numpy as np
    >>> s = np.array(['foo', 'bar'])
    >>> s
    array(['foo', 'bar'], dtype='<U3')
    >>> np.strings.startswith(s, 'fo')
    array([True,  False])
    >>> np.strings.startswith(s, 'o', start=1, end=2)
    array([True,  False])

    """
    end = end if end is not None else MAX
    return _startswith_ufunc(a, prefix, start, end)


@set_module("numpy.strings")