Replace the list of support numpy dtypes with DTYPES_NUMERIC in tests

pygmt/tests/test_clib_put_matrix.py

@@ -7,6 +7,7 @@
 import pytest
 import xarray as xr
 from pygmt import clib
+from pygmt.clib.session import DTYPES_NUMERIC
 from pygmt.exceptions import GMTCLibError
 from pygmt.helpers import GMTTempFile
 from pygmt.tests.test_clib import mock
@@ -17,7 +18,7 @@ def fixture_dtypes():
     """
     List of supported numpy dtypes.
     """
-    return "int8 int16 int32 int64 uint8 uint16 uint32 uint64 float32 float64".split()
+    return [dtype for dtype in DTYPES_NUMERIC if dtype != np.timedelta64]
 
 
 @pytest.mark.benchmark

pygmt/tests/test_clib_put_vector.py

@@ -9,6 +9,7 @@
 import numpy.testing as npt
 import pytest
 from pygmt import clib
+from pygmt.clib.session import DTYPES_NUMERIC
 from pygmt.exceptions import GMTCLibError, GMTInvalidInput
 from pygmt.helpers import GMTTempFile
 
@@ -18,7 +19,7 @@ def fixture_dtypes():
     """
     List of supported numpy dtypes.
     """
-    return "int8 int16 int32 int64 uint8 uint16 uint32 uint64 float32 float64".split()
+    return [dtype for dtype in DTYPES_NUMERIC if dtype != np.timedelta64]
 
 
 @pytest.mark.benchmark

pygmt/tests/test_clib_virtualfile_from_matrix.py

@@ -5,6 +5,7 @@
 import numpy as np
 import pytest
 from pygmt import clib
+from pygmt.clib.session import DTYPES_NUMERIC
 from pygmt.helpers import GMTTempFile
 
 
@@ -13,7 +14,7 @@ def fixture_dtypes():
     """
     List of supported numpy dtypes.
     """
-    return "int8 int16 int32 int64 uint8 uint16 uint32 uint64 float32 float64".split()
+    return [dtype for dtype in DTYPES_NUMERIC if dtype != np.timedelta64]
 
 
 @pytest.mark.benchmark

pygmt/tests/test_clib_virtualfile_from_vectors.py

@@ -8,6 +8,7 @@
 import pandas as pd
 import pytest
 from pygmt import clib
+from pygmt.clib.session import DTYPES_NUMERIC
 from pygmt.exceptions import GMTInvalidInput
 from pygmt.helpers import GMTTempFile
 
@@ -17,7 +18,7 @@ def fixture_dtypes():
     """
     List of supported numpy dtypes.
     """
-    return "int8 int16 int32 int64 uint8 uint16 uint32 uint64 float32 float64".split()
+    return [dtype for dtype in DTYPES_NUMERIC if dtype != np.timedelta64]
 
 
 @pytest.fixture(scope="module", name="dtypes_pandas")
@@ -26,10 +27,8 @@ def fixture_dtypes_pandas(dtypes):
     List of supported pandas dtypes.
     """
     dtypes_pandas = dtypes.copy()
-
     if find_spec("pyarrow") is not None:
-        dtypes_pandas.extend([f"{dtype}[pyarrow]" for dtype in dtypes_pandas])
-
+        dtypes_pandas.extend([f"{np.dtype(dtype).name}[pyarrow]" for dtype in dtypes])
     return tuple(dtypes_pandas)
 
 

pygmt/tests/test_clib_virtualfiles.py

@@ -2,12 +2,12 @@
 Test the Session.open_virtualfile method.
 """
 
-from importlib.util import find_spec
 from pathlib import Path
 
 import numpy as np
 import pytest
 from pygmt import clib
+from pygmt.clib.session import DTYPES_NUMERIC
 from pygmt.exceptions import GMTCLibError, GMTInvalidInput
 from pygmt.helpers import GMTTempFile
 from pygmt.tests.test_clib import mock
@@ -28,20 +28,7 @@ def fixture_dtypes():
     """
     List of supported numpy dtypes.
     """
-    return "int8 int16 int32 int64 uint8 uint16 uint32 uint64 float32 float64".split()
-
-
-@pytest.fixture(scope="module", name="dtypes_pandas")
-def fixture_dtypes_pandas(dtypes):
-    """
-    List of supported pandas dtypes.
-    """
-    dtypes_pandas = dtypes.copy()
-
-    if find_spec("pyarrow") is not None:
-        dtypes_pandas.extend([f"{dtype}[pyarrow]" for dtype in dtypes_pandas])
-
-    return tuple(dtypes_pandas)
+    return [dtype for dtype in DTYPES_NUMERIC if dtype != np.timedelta64]
 
 
 @pytest.mark.benchmark

pygmt/tests/test_grdimage_image.py

@@ -2,8 +2,10 @@
 Test Figure.grdimage on 3-band RGB images.
 """
 
+import numpy as np
 import pytest
 from pygmt import Figure
+from pygmt.clib.session import DTYPES_NUMERIC
 from pygmt.datasets import load_blue_marble
 
 rioxarray = pytest.importorskip("rioxarray")
@@ -43,7 +45,7 @@ def test_grdimage_image_dataarray(xr_image):
 
 @pytest.mark.parametrize(
     "dtype",
-    ["int8", "uint16", "int16", "uint32", "int32", "float32", "float64"],
+    [dtype for dtype in DTYPES_NUMERIC if dtype not in {np.uint8, np.timedelta64}],
 )
 def test_grdimage_image_dataarray_unsupported_dtype(dtype, xr_image):
     """