ers in each string are %(type)s.

    This is equivalent to running the Python string method
    :meth:`str.%(method)s` for each element of the Series/Index. If a string
    has zero characters, ``False`` is returned for that check.

    Returns
    -------
    Series or Index of bool
        Series or Index of boolean values with the same length as the original
        Series/Index.

    See Also
    --------
    Series.str.isalpha : Check whether all characters are alphabetic.
    Series.str.isnumeric : Check whether all characters are numeric.
    Series.str.isalnum : Check whether all characters are alphanumeric.
    Series.str.isdigit : Check whether all characters are digits.
    Series.str.isdecimal : Check whether all characters are decimal.
    Series.str.isspace : Check whether all characters are whitespace.
    Series.str.islower : Check whether all characters are lowercase.
    Series.str.isupper : Check whether all characters are uppercase.
    Series.str.istitle : Check whether all characters are titlecase.

    Examples
    --------
    **Checks for Alphabetic and Numeric Characters**

    >>> s1 = pd.Series(['one', 'one1', '1', ''])

    >>> s1.str.isalpha()
    0     True
    1    False
    2    False
    3    False
    dtype: bool

    >>> s1.str.isnumeric()
    0    False
    1    False
    2     True
    3    False
    dtype: bool

    >>> s1.str.isalnum()
    0     True
    1     True
    2     True
    3    False
    dtype: bool

    Note that checks against characters mixed with any additional punctuation
    or whitespace will evaluate to false for an alphanumeric check.

    >>> s2 = pd.Series(['A B', '1.5', '3,000'])
    >>> s2.str.isalnum()
    0    False
    1    False
    2    False
    dtype: bool

    **More Detailed Checks for Numeric Characters**

    There are several different but overlapping sets of numeric characters that
    can be checked for.

    >>> s3 = pd.Series(['23', '³', '⅕', ''])

    The ``s3.str.isdecimal`` method checks for characters used to form numbers
    in base 10.

    >>> s3.str.isdecimal()
    0     True
    1    False
    2    False
    3    False
    dtype: bool

    The ``s.str.isdigit`` method is the same as ``s3.str.isdecimal`` but also
    includes special digits, like superscripted and subscripted digits in
    unicode.

    >>> s3.str.isdigit()
    0     True
    1     True
    2    False
    3    False
    dtype: bool

    The ``s.str.isnumeric`` method is the same as ``s3.str.isdigit`` but also
    includes other characters that can represent quantities such as unicode
    fractions.

    >>> s3.str.isnumeric()
    0     True
    1     True
    2     True
    3    False
    dtype: bool

    **Checks for Whitespace**

    >>> s4 = pd.Series([' ', '\t\r\n ', ''])
    >>> s4.str.isspace()
    0     True
    1     True
    2    False
    dtype: bool

    **Checks for Character Case**

    >>> s5 = pd.Series(['leopard', 'Golden Eagle', 'SNAKE', ''])

    >>> s5.str.islower()
    0     True
    1    False
    2    False
    3    False
    dtype: bool

    >>> s5.str.isupper()
    0    False
    1    False
    2     True
    3    False
    dtype: bool

    The ``s5.str.istitle`` method checks for whether all words are in title
    case (whether only the first letter of each word is capitalized). Words are
    assumed to be as any sequence of non-numeric characters separated by
    whitespace characters.

    >>> s5.str.istitle()
    0    False
    1     True
    2    False
    3    False
    dtype: bool
    Ú	ismethodsÚ