DOC: Separate out examples - pandas.str.is methods

pandas/core/strings/accessor.py

@@ -3443,10 +3443,10 @@ def casefold(self):
     Series or Index of bool
         Series or Index of boolean values with the same length as the original
         Series/Index.
-
+    """
+    _shared_docs["isalpha"] = """
     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.
@@ -3458,24 +3458,56 @@ def casefold(self):
 
     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
+    """
+    _shared_docs["isnumeric"] = """
+    See Also
+    --------
+    Series.str.isalpha : Check whether all characters are alphabetic.
+    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
+    --------
+    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.
 
+    >>> s1 = pd.Series(['one', 'one1', '1', ''])
     >>> s1.str.isnumeric()
     0    False
     1    False
     2     True
     3    False
     dtype: bool
+    """
+    _shared_docs["isalnum"] = """
+    See Also
+    --------
+    Series.str.isalpha : Check whether all characters are alphabetic.
+    Series.str.isnumeric : Check whether all characters are numeric.
+    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
+    --------
+    >>> s1 = pd.Series(['one', 'one1', '1', ''])
     >>> s1.str.isalnum()
     0     True
     1     True
@@ -3492,78 +3524,147 @@ def casefold(self):
     1    False
     2    False
     dtype: bool
+    """
+    _shared_docs["isdecimal"] = """
+    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.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.
 
-    **More Detailed Checks for Numeric Characters**
-
-    There are several different but overlapping sets of numeric characters that
-    can be checked for.
+    Examples
+    --------
+    The ``s3.str.isdecimal`` method checks for characters used to form
+    numbers in base 10.
 
     >>> 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
+    """
+    _shared_docs["isdigit"] = """
+    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.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.
 
-    The ``s.str.isdigit`` method is the same as ``s3.str.isdecimal`` but also
-    includes special digits, like superscripted and subscripted digits in
-    unicode.
+    Examples
+    --------
+    Similar to ``str.isdecimal`` but also includes special digits, like
+    superscripted and subscripted digits in unicode.
 
+    >>> s3 = pd.Series(['23', '³', '⅕', ''])
     >>> 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
+    _shared_docs["isspace"] = """
+    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.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.
 
-    **Checks for Whitespace**
+    Examples
+    --------
 
     >>> s4 = pd.Series([' ', '\\t\\r\\n ', ''])
     >>> s4.str.isspace()
     0     True
     1     True
     2    False
     dtype: bool
+    """
+    _shared_docs["islower"] = """
+    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.isupper : Check whether all characters are uppercase.
+    Series.str.istitle : Check whether all characters are titlecase.
 
-    **Checks for Character Case**
+    Examples
+    --------
 
     >>> s5 = pd.Series(['leopard', 'Golden Eagle', 'SNAKE', ''])
-
     >>> s5.str.islower()
     0     True
     1    False
     2    False
     3    False
     dtype: bool
+    """
+
+    _shared_docs["isupper"] = """
+    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.istitle : Check whether all characters are titlecase.
 
+    Examples
+    --------
+
+    >>> s5 = pd.Series(['leopard', 'Golden Eagle', 'SNAKE', ''])
     >>> s5.str.isupper()
     0    False
     1    False
     2     True
     3    False
     dtype: bool
+    """
+    _shared_docs["istitle"] = """
+    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.
 
+    Examples
+    ------------
     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 = pd.Series(['leopard', 'Golden Eagle', 'SNAKE', ''])
     >>> s5.str.istitle()
     0    False
     1     True
@@ -3583,31 +3684,49 @@ def casefold(self):
     # force _noarg_wrapper return type with dtype=np.dtype(bool) (GH 29624)
 
     isalnum = _map_and_wrap(
-        "isalnum", docstring=_shared_docs["ismethods"] % _doc_args["isalnum"]
+        "isalnum",
+        docstring=_shared_docs["ismethods"] % _doc_args["isalnum"]
+        + _shared_docs["isalnum"],
     )
     isalpha = _map_and_wrap(
-        "isalpha", docstring=_shared_docs["ismethods"] % _doc_args["isalpha"]
+        "isalpha",
+        docstring=_shared_docs["ismethods"] % _doc_args["isalpha"]
+        + _shared_docs["isalpha"],
     )
     isdigit = _map_and_wrap(
-        "isdigit", docstring=_shared_docs["ismethods"] % _doc_args["isdigit"]
+        "isdigit",
+        docstring=_shared_docs["ismethods"] % _doc_args["isdigit"]
+        + _shared_docs["isdigit"],
     )
     isspace = _map_and_wrap(
-        "isspace", docstring=_shared_docs["ismethods"] % _doc_args["isspace"]
+        "isspace",
+        docstring=_shared_docs["ismethods"] % _doc_args["isspace"]
+        + _shared_docs["isspace"],
     )
     islower = _map_and_wrap(
-        "islower", docstring=_shared_docs["ismethods"] % _doc_args["islower"]
+        "islower",
+        docstring=_shared_docs["ismethods"] % _doc_args["islower"]
+        + _shared_docs["islower"],
     )
     isupper = _map_and_wrap(
-        "isupper", docstring=_shared_docs["ismethods"] % _doc_args["isupper"]
+        "isupper",
+        docstring=_shared_docs["ismethods"] % _doc_args["isupper"]
+        + _shared_docs["isupper"],
     )
     istitle = _map_and_wrap(
-        "istitle", docstring=_shared_docs["ismethods"] % _doc_args["istitle"]
+        "istitle",
+        docstring=_shared_docs["ismethods"] % _doc_args["istitle"]
+        + _shared_docs["istitle"],
     )
     isnumeric = _map_and_wrap(
-        "isnumeric", docstring=_shared_docs["ismethods"] % _doc_args["isnumeric"]
+        "isnumeric",
+        docstring=_shared_docs["ismethods"] % _doc_args["isnumeric"]
+        + _shared_docs["isnumeric"],
     )
     isdecimal = _map_and_wrap(
-        "isdecimal", docstring=_shared_docs["ismethods"] % _doc_args["isdecimal"]
+        "isdecimal",
+        docstring=_shared_docs["ismethods"] % _doc_args["isdecimal"]
+        + _shared_docs["isdecimal"],
     )