Merge branch 'main' into add-aliases-meca-tpaxes

.github/workflows/ci_tests_legacy.yaml

@@ -1,8 +1,8 @@
 # Test PyGMT with GMT legacy versions on Linux/macOS/Windows
 #
-# This workflow runs regular PyGMT tests with GMT legacy versions. Due to the
-# minor baseline image changes between GMT versions, the workflow only runs
-# the tests but doesn't do image comparisons.
+# This workflow runs regular PyGMT tests with GMT legacy versions. Due to the minor
+# baseline image changes between GMT versions, the workflow only runs the tests but
+# doesn't do image comparisons.
 #
 # It is scheduled to run every Tuesday on the main branch.
 #
@@ -63,7 +63,7 @@ jobs:
             gmt=${{ matrix.gmt_version }}
             ghostscript<10
             numpy
-            pandas<2
+            pandas
             xarray
             netCDF4
             packaging
@@ -85,9 +85,9 @@ jobs:
         run: |
           # Download cached files to ~/.gmt directory and list them
           gh run download --name gmt-cache --dir ~/.gmt/
-          # Change modification times of the two files, so GMT won't refresh it
-          # The two files are in the `~/.gmt/server` directory for GMT<=6.4, and
-          # in the `~/.gmt` directory for GMT>=6.5.
+          # Change modification times of the two files, so GMT won't refresh it.
+          # The two files are in the `~/.gmt/server` directory for GMT<=6.4, and in the
+          # `~/.gmt` directory for GMT>=6.5.
           mkdir -p ~/.gmt/server/
           mv ~/.gmt/gmt_data_server.txt ~/.gmt/gmt_hash_server.txt ~/.gmt/server/
           touch ~/.gmt/server/gmt_data_server.txt ~/.gmt/server/gmt_hash_server.txt

examples/tutorials/advanced/draping_on_3d_surface.py

@@ -112,7 +112,7 @@
 fig = pygmt.Figure()
 
 # Set up a colormap with two colors for the EU flag: blue (0/51/153) for the background
-# (value 0 in the nedCDF file -> lower half of 0-255 range) and yellow (255/204/0) for
+# (value 0 in the netCDF file -> lower half of 0-255 range) and yellow (255/204/0) for
 # the stars (value 255 -> upper half)
 pygmt.makecpt(cmap="0/51/153,255/204/0", series=[0, 256, 128])
 

pygmt/accessors.py

@@ -60,7 +60,7 @@ class GMTDataArrayAccessor:
     >>> longrid, latgrid = np.meshgrid(lon, lat)
     >>> data = np.sin(np.deg2rad(longrid)) * np.cos(np.deg2rad(latgrid))
     >>> grid = xr.DataArray(data, coords=[("latitude", lat), ("longitude", lon)])
-    >>> # default to a gridline-registrated Cartesian grid
+    >>> # default to a gridline-registered Cartesian grid
     >>> grid.gmt.registration, grid.gmt.gtype
     (0, 0)
     >>> # set it to a gridline-registered geographic grid

pygmt/clib/conversion.py

@@ -281,7 +281,7 @@ def sequence_to_ctypes_array(
     return (ctype * size)(*sequence)
 
 
-def strings_to_ctypes_array(strings: Sequence[str]) -> ctp.Array:
+def strings_to_ctypes_array(strings: Sequence[str] | np.ndarray) -> ctp.Array:
     """
     Convert a sequence (e.g., a list) of strings into a ctypes array.
 
@@ -307,7 +307,7 @@ def strings_to_ctypes_array(strings: Sequence[str]) -> ctp.Array:
     return (ctp.c_char_p * len(strings))(*[s.encode() for s in strings])
 
 
-def array_to_datetime(array: Sequence[Any]) -> np.ndarray:
+def array_to_datetime(array: Sequence[Any] | np.ndarray) -> np.ndarray:
     """
     Convert a 1-D datetime array from various types into numpy.datetime64.