Switch back to using np.asarray, but use dtype 'object' in test

GenericMappingTools · Jul 13, 2020 · a2258a5 · a2258a5
1 parent f70db5f
commit a2258a5
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Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/pygmt/clib/session.py b/pygmt/clib/session.py
@@ -720,7 +720,7 @@ def _check_dtype_and_dim(self, array, ndim):
  if array.dtype.type not in DTYPES:
  try:
  # Try to convert any unknown numpy data types to np.datetime64
- array = np.datetime64(array)
+ array = np.asarray(array, dtype=np.datetime64)
  except ValueError:
  raise GMTInvalidInput(
  "Unsupported numpy data type '{}'.".format(array.dtype.type)

diff --git a/pygmt/tests/test_clib.py b/pygmt/tests/test_clib.py
@@ -349,7 +349,7 @@ def test_put_vector_invalid_dtype():
  mode="GMT_CONTAINER_ONLY",
  dim=[2, 3, 1, 0], # columns, rows, layers, dtype
  )
- data = np.array([37, 12, 556], dtype="complex128")
+ data = np.array([37, 12, 556], dtype="object")
  with pytest.raises(GMTInvalidInput):
  lib.put_vector(dataset, column=1, vector=data)