Fix order of parameters

Author: thoo

pandas/core/frame.py

@@ -2036,9 +2036,8 @@ def to_parquet(self, fname, engine='auto', compression='snappy',
                   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,
-                  sparsify=None, index_names=True, justify=None,
-                  line_width=None, max_rows=None, max_cols=None,
-                  show_dimensions=False):
+                  sparsify=None, index_names=True, justify=None, max_rows=None,
+                  max_cols=None, show_dimensions=False, line_width=None):
         """
         Render a DataFrame to a console-friendly tabular output.
 
@@ -2085,9 +2084,9 @@ def to_string(self, buf=None, columns=None, col_space=None, header=True,
                   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,
-                sparsify=None, index_names=True, justify=None, bold_rows=True,
-                classes=None, escape=True, max_rows=None, max_cols=None,
-                show_dimensions=False, notebook=False, decimal='.',
+                sparsify=None, index_names=True, justify=None, max_rows=None,
+                max_cols=None, show_dimensions=False, bold_rows=True,
+                classes=None, escape=True, notebook=False, decimal='.',
                 border=None, table_id=None):
         """
         Render a DataFrame as an HTML table.

pandas/core/generic.py

@@ -9651,7 +9651,7 @@ def _add_series_or_dataframe_operations(cls):
 
         @Appender(rwindow.rolling.__doc__)
         def rolling(self, window, min_periods=None, center=False,
-                    win_type=None, on=None, axis=0, closed=None):
+                    win_type=None, on=None, closed=None, axis=0):
             axis = self._get_axis_number(axis)
             return rwindow.rolling(self, window=window,
                                    min_periods=min_periods,

pandas/core/reshape/pivot.py

@@ -390,8 +390,8 @@ def pivot(data, index=None, columns=None, values=None):
     return indexed.unstack(columns)
 
 
-def crosstab(index, columns, values=None, rownames=None, colnames=None,
-             aggfunc=None, margins=False, margins_name='All', dropna=True,
+def crosstab(index, columns, values=None, aggfunc=None, rownames=None,
+             colnames=None, margins=False, margins_name='All', dropna=True,
              normalize=False):
     """
     Compute a simple cross-tabulation of two (or more) factors. By default

pandas/io/json/normalize.py

@@ -94,8 +94,8 @@ def nested_to_record(ds, prefix="", sep=".", level=0):
 
 
 def json_normalize(data, record_path=None, meta=None,
-                   meta_prefix=None,
                    record_prefix=None,
+                   meta_prefix=None,
                    errors='raise',
                    sep='.'):
     """

pandas/tseries/offsets.py

@@ -807,7 +807,6 @@ 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'
@@ -816,6 +815,7 @@ class CustomBusinessDay(_CustomMixin, BusinessDay):
         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)
     """
     _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

@@ -1201,8 +1201,8 @@ def assert_series_equal(left, right, check_dtype=True,
                         check_index_type='equiv',
                         check_series_type=True,
                         check_less_precise=False,
-                        check_names=True,
                         check_exact=False,
+                        check_names=True,
                         check_datetimelike_compat=False,
                         check_categorical=True,
                         obj='Series'):