Figure.rose: Reorder input parameters to 'data, length, azimuth'

pygmt/src/rose.py

@@ -5,6 +5,7 @@
 from pygmt.clib import Session
 from pygmt.helpers import (
     build_arg_string,
+    check_data_input_order,
     deprecate_parameter,
     fmt_docstring,
     kwargs_to_strings,
@@ -14,6 +15,7 @@
 
 @fmt_docstring
 @deprecate_parameter("columns", "incols", "v0.4.0", remove_version="v0.6.0")
+@check_data_input_order("v0.5.0", remove_version="v0.7.0")
 @use_alias(
     A="sector",
     B="frame",
@@ -47,7 +49,7 @@
     w="wrap",
 )
 @kwargs_to_strings(R="sequence", c="sequence_comma", i="sequence_comma", p="sequence")
-def rose(self, length=None, azimuth=None, data=None, **kwargs):
+def rose(self, data=None, length=None, azimuth=None, **kwargs):
     """
     Plot windrose diagrams or polar histograms.
 
@@ -67,10 +69,6 @@ def rose(self, length=None, azimuth=None, data=None, **kwargs):
 
     Parameters
     ----------
-    length/azimuth : float or 1d arrays
-        Length and azimuth values, or arrays of length and azimuth
-        values
-
     data : str or {table-like}
         Pass in either a file name to an ASCII data table, a 2D
         {table-classes}.
@@ -79,6 +77,10 @@ def rose(self, length=None, azimuth=None, data=None, **kwargs):
         indicate the single column with azimuths; then all lengths are set to
         unity (see ``scale = 'u'`` to set actual lengths to unity as well).
 
+    length/azimuth : float or 1d arrays
+        Length and azimuth values, or arrays of length and azimuth
+        values
+
     orientation : bool
         Specifies that the input data are orientation data (i.e., have a
         180 degree ambiguity) instead of true 0-360 degree directions

pygmt/tests/test_rose.py

@@ -202,7 +202,7 @@ def test_rose_deprecate_columns_to_incols(data_fractures_compilation):
     fig = Figure()
     with pytest.warns(expected_warning=FutureWarning) as record:
         fig.rose(
-            data=data,
+            data,
             region=[0, 1, 0, 360],
             sector=10,
             columns=[1, 0],