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Improve the error messages for unsupported numpy dtypes #2856

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Merged
merged 4 commits into from
Dec 7, 2023
Merged

Improve the error messages for unsupported numpy dtypes #2856

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f8929bb
Improve the error messages for unsupported numpy dtypes
seisman Dec 6, 2023
94ed349
Order dtypes alphabetically
seisman Dec 7, 2023
c5ca123
np.complex256 is not supported on Windows
seisman Dec 7, 2023
578daf1
Fix dtype names
seisman Dec 7, 2023
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7 changes: 5 additions & 2 deletions pygmt/clib/session.py
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Original file line number Diff line number Diff line change
Expand Up @@ -834,8 +834,11 @@ def _check_dtype_and_dim(self, array, ndim):
# Check that the array has a valid/known data type
if array.dtype.type not in DTYPES:
try:
# Try to convert any unknown numpy data types to np.datetime64
array = array_to_datetime(array)
if array.dtype.type is np.object_:
# Try to convert unknown object type to np.datetime64
array = array_to_datetime(array)
else:
raise ValueError
except ValueError as e:
raise GMTInvalidInput(
f"Unsupported numpy data type '{array.dtype.type}'."
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30 changes: 20 additions & 10 deletions pygmt/tests/test_clib_put_vector.py
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Original file line number Diff line number Diff line change
Expand Up @@ -170,16 +170,26 @@ def test_put_vector_invalid_dtype():
"""
Check that it fails with an exception for invalid data types.
"""
with clib.Session() as lib:
dataset = lib.create_data(
family="GMT_IS_DATASET|GMT_VIA_VECTOR",
geometry="GMT_IS_POINT",
mode="GMT_CONTAINER_ONLY",
dim=[2, 3, 1, 0], # columns, rows, layers, dtype
)
data = np.array([37, 12, 556], dtype="object")
with pytest.raises(GMTInvalidInput):
lib.put_vector(dataset, column=1, vector=data)
for dtype in [
np.bool_,
np.bytes_,
np.csingle,
np.cdouble,
np.clongfloat,
np.half,
np.longdouble,
np.object_,
]:
with clib.Session() as lib:
dataset = lib.create_data(
family="GMT_IS_DATASET|GMT_VIA_VECTOR",
geometry="GMT_IS_POINT",
mode="GMT_CONTAINER_ONLY",
dim=[2, 3, 1, 0], # columns, rows, layers, dtype
)
data = np.array([37, 12, 556], dtype=dtype)
with pytest.raises(GMTInvalidInput, match="Unsupported numpy data type"):
lib.put_vector(dataset, column=1, vector=data)


def test_put_vector_wrong_column():
Expand Down