Rename the parameter 'table' to 'data'

As per #1479.

Author: weiji14

pygmt/src/triangulate.py

@@ -30,7 +30,7 @@
     r="registration",
 )
 @kwargs_to_strings(R="sequence")
-def triangulate(table=None, x=None, y=None, z=None, **kwargs):
+def triangulate(data=None, x=None, y=None, z=None, **kwargs):
     """
     Delaunay triangulation or Voronoi partitioning and gridding of Cartesian
     data.
@@ -41,7 +41,7 @@ def triangulate(table=None, x=None, y=None, z=None, **kwargs):
     and *projection*) is chosen then it is applied before the triangulation
     is calculated.
 
-    Must provide either ``table`` or ``x``, ``y``, and ``z``.
+    Must provide either ``data`` or ``x``, ``y``, and ``z``.
 
     Full option list at :gmt-docs:`triangulate.html`
 
@@ -51,7 +51,7 @@ def triangulate(table=None, x=None, y=None, z=None, **kwargs):
     ----------
     x/y/z : np.ndarray
         Arrays of x and y coordinates and values z of the data points.
-    table : str or {table-like}
+    data : str or {table-like}
         Pass in (x, y, z) or (longitude, latitude, elevation) values by
         providing a file name to an ASCII data table, a 2D
         {table-classes}.
@@ -89,7 +89,7 @@ def triangulate(table=None, x=None, y=None, z=None, **kwargs):
         with Session() as lib:
             # Choose how data will be passed into the module
             table_context = lib.virtualfile_from_data(
-                check_kind="vector", data=table, x=x, y=y, z=z
+                check_kind="vector", data=data, x=x, y=y, z=z
             )
             with table_context as infile:
                 if "G" not in kwargs:  # table output if outgrid is unset

pygmt/tests/test_triangulate.py

@@ -24,7 +24,7 @@ def test_triangulate_input_file():
     """
     Run triangulate by passing in a filename.
     """
-    output = triangulate(table="@tut_ship.xyz")
+    output = triangulate(data="@tut_ship.xyz")
     assert isinstance(output, pd.DataFrame)
     assert output.shape == (161935, 3)
 
@@ -34,7 +34,7 @@ def test_triangulate_input_data_array(dataframe):
     Run triangulate by passing in a numpy array into data.
     """
     data = dataframe.to_numpy()
-    output = triangulate(table=data)
+    output = triangulate(data=data)
     assert isinstance(output, pd.DataFrame)
     assert output.shape == (161935, 3)
 
@@ -68,7 +68,7 @@ def test_triangulate_wrong_kind_of_input(dataframe):
     data = dataframe.bathymetry.to_xarray()  # convert pandas.Series to xarray.DataArray
     assert data_kind(data) == "grid"
     with pytest.raises(GMTInvalidInput):
-        triangulate(table=data)
+        triangulate(data=data)
 
 
 def test_triangulate_with_outgrid_true(dataframe):
@@ -77,7 +77,7 @@ def test_triangulate_with_outgrid_true(dataframe):
     """
     data = dataframe.to_numpy()
     output = triangulate(
-        table=data, spacing="5m", region=[245, 255, 20, 30], outgrid=True
+        data=data, spacing="5m", region=[245, 255, 20, 30], outgrid=True
     )
     assert isinstance(output, xr.DataArray)
     assert output.shape == (121, 121)
@@ -90,7 +90,7 @@ def test_triangulate_with_outgrid_param(dataframe):
     data = dataframe.to_numpy()
     with GMTTempFile(suffix=".nc") as tmpfile:
         output = triangulate(
-            table=data, spacing="5m", region=[245, 255, 20, 30], outgrid=tmpfile.name
+            data=data, spacing="5m", region=[245, 255, 20, 30], outgrid=tmpfile.name
         )
         assert output is None  # check that output is None since outgrid is set
         assert os.path.exists(path=tmpfile.name)  # check that outgrid exists