Dictionary with array-like values is also matrix

Author: seisman

pygmt/helpers/utils.py

@@ -203,8 +203,8 @@ def data_kind(
       (e.g., geopandas.GeoDataFrame or shapely.geometry)
     - ``"grid"``: a :class:`xarray.DataArray` object with dimensions not equal to 3
     - ``"image"``: a :class:`xarray.DataArray` object with 3 dimensions
-    - ``"matrix"``: a :class:`pandas.DataFrame` object, a 2-D :class:`numpy.ndarray`
-      or a sequence of sequences
+    - ``"matrix"``: a :class:`pandas.DataFrame` object, a 2-D :class:`numpy.ndarray`,
+      a dictionary with array-like values, or a sequence of sequences
 
     In addition, the data can be given via a series of vectors (e.g., x/y/z). In this
     case, the ``data`` argument is ``None`` and the data kind is determined by the
@@ -252,6 +252,8 @@ def data_kind(
     'matrix'
     >>> data_kind(data=pd.DataFrame(data={"col1": [1, 2], "col2": [3, 4]}))
     'matrix'
+    >>> data_kind(data={"x": [1, 2], "y": [3, 4]})
+    'matrix'
     >>> data_kind(data=[1, 2, 3])
     'matrix'
     """