correct orders

pandas/core/frame.py

@@ -2032,7 +2032,8 @@ def to_parquet(self, fname, engine='auto', compression='snappy',
     @Substitution(header='Write out the column names. If a list of strings '
                          'is given, it is assumed to be aliases for the '
                          'column names')
-    @Substitution(shared_params=fmt.common_docstring,
+    @Substitution(shared_params1=fmt.common_docstring[:-320],
+                  shared_params2=fmt.common_docstring[-315:-5],
                   returns=fmt.return_docstring)
     def to_string(self, buf=None, columns=None, col_space=None, header=True,
                   index=True, na_rep='NaN', formatters=None, float_format=None,
@@ -2041,13 +2042,11 @@ def to_string(self, buf=None, columns=None, col_space=None, header=True,
                   show_dimensions=False):
         """
         Render a DataFrame to a console-friendly tabular output.
-
-        %(shared_params)s
+        %(shared_params1)s
         line_width : int, optional
             Width to wrap a line in characters.
-
+        %(shared_params2)s
         %(returns)s
-
         See Also
         --------
         to_html : Convert DataFrame to HTML.
@@ -2081,7 +2080,8 @@ def to_string(self, buf=None, columns=None, col_space=None, header=True,
             return result
 
     @Substitution(header='whether to print column labels, default True')
-    @Substitution(shared_params=fmt.common_docstring,
+    @Substitution(shared_params1=fmt.common_docstring[:-320],
+                  shared_params2=fmt.common_docstring[-315:-5],
                   returns=fmt.return_docstring)
     def to_html(self, buf=None, columns=None, col_space=None, header=True,
                 index=True, na_rep='NaN', formatters=None, float_format=None,
@@ -2091,14 +2091,14 @@ def to_html(self, buf=None, columns=None, col_space=None, header=True,
                 border=None, table_id=None):
         """
         Render a DataFrame as an HTML table.
-
-        %(shared_params)s
+        %(shared_params1)s
         bold_rows : boolean, default True
             Make the row labels bold in the output
         classes : str or list or tuple, default None
             CSS class(es) to apply to the resulting html table
         escape : boolean, default True
             Convert the characters <, >, and & to HTML-safe sequences.
+        %(shared_params2)s
         notebook : {True, False}, default False
             Whether the generated HTML is for IPython Notebook.
         decimal : string, default '.'
@@ -2116,9 +2116,7 @@ def to_html(self, buf=None, columns=None, col_space=None, header=True,
             A css id is included in the opening `<table>` tag if specified.
 
             .. versionadded:: 0.23.0
-
         %(returns)s
-
         See Also
         --------
         to_string : Convert DataFrame to a string.

pandas/core/reshape/pivot.py

@@ -407,12 +407,12 @@ def crosstab(index, columns, values=None, rownames=None, colnames=None,
     values : array-like, optional
         Array of values to aggregate according to the factors.
         Requires `aggfunc` be specified.
-    aggfunc : function, optional
-        If specified, requires `values` be specified as well
     rownames : sequence, default None
         If passed, must match number of row arrays passed
     colnames : sequence, default None
         If passed, must match number of column arrays passed
+    aggfunc : function, optional
+        If specified, requires `values` be specified as well
     margins : boolean, default False
         Add row/column margins (subtotals)
     margins_name : string, default 'All'

pandas/core/window.py

@@ -472,6 +472,7 @@ class Window(_Window):
     on : string, optional
         For a DataFrame, column on which to calculate
         the rolling window, rather than the index
+    axis : int or string, default 0
     closed : string, default None
         Make the interval closed on the 'right', 'left', 'both' or
         'neither' endpoints.
@@ -481,8 +482,6 @@ class Window(_Window):
 
         .. versionadded:: 0.20.0
 
-    axis : int or string, default 0
-
     Returns
     -------
     a Window or Rolling sub-classed for the particular operation

pandas/io/json/normalize.py

@@ -110,10 +110,10 @@ def json_normalize(data, record_path=None, meta=None,
         assumed to be an array of records
     meta : list of paths (string or list of strings), default None
         Fields to use as metadata for each record in resulting table
+    meta_prefix : string, default None
     record_prefix : string, default None
         If True, prefix records with dotted (?) path, e.g. foo.bar.field if
         path to records is ['foo', 'bar']
-    meta_prefix : string, default None
     errors : {'raise', 'ignore'}, default 'raise'
 
         * 'ignore' : will ignore KeyError if keys listed in meta are not

pandas/tseries/offsets.py

@@ -807,15 +807,15 @@ class CustomBusinessDay(_CustomMixin, BusinessDay):
     Parameters
     ----------
     n : int, default 1
-    offset : timedelta, default timedelta(0)
     normalize : bool, default False
         Normalize start/end dates to midnight before generating date range
     weekmask : str, Default 'Mon Tue Wed Thu Fri'
         weekmask of valid business days, passed to ``numpy.busdaycalendar``
     holidays : list
         list/array of dates to exclude from the set of valid business days,
         passed to ``numpy.busdaycalendar``
-    calendar : pd.HolidayCalendar or np.busdaycalendar
+    calendar : pd.HolidayCalendar or np.
+    offset : timedelta, default timedelta(0)
     """
     _prefix = 'C'
     _attributes = frozenset(['n', 'normalize',
@@ -958,7 +958,6 @@ class _CustomBusinessMonth(_CustomMixin, BusinessMixin, MonthOffset):
     Parameters
     ----------
     n : int, default 1
-    offset : timedelta, default timedelta(0)
     normalize : bool, default False
         Normalize start/end dates to midnight before generating date range
     weekmask : str, Default 'Mon Tue Wed Thu Fri'
@@ -967,6 +966,7 @@ class _CustomBusinessMonth(_CustomMixin, BusinessMixin, MonthOffset):
         list/array of dates to exclude from the set of valid business days,
         passed to ``numpy.busdaycalendar``
     calendar : pd.HolidayCalendar or np.busdaycalendar
+    offset : timedelta, default timedelta(0)
     """
     _attributes = frozenset(['n', 'normalize',
                              'weekmask', 'holidays', 'calendar', 'offset'])

pandas/util/testing.py

@@ -1222,18 +1222,18 @@ def assert_series_equal(left, right, check_dtype=True,
     check_less_precise : bool or int, default False
         Specify comparison precision. Only used when check_exact is False.
         5 digits (False) or 3 digits (True) after decimal points are compared.
-        If int, then specify the digits to compare
-    check_exact : bool, default False
-        Whether to compare number exactly.
+        If int, then specify the digits to compare.
     check_names : bool, default True
         Whether to check the Series and Index names attribute.
+    check_exact : bool, default False
+        Whether to compare number exactly.
     check_datetimelike_compat : bool, default False
         Compare datetime-like which is comparable ignoring dtype.
     check_categorical : bool, default True
         Whether to compare internal Categorical exactly.
     obj : str, default 'Series'
         Specify object name being compared, internally used to show appropriate
-        assertion message
+        assertion message.
     """
     __tracebackhide__ = True