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

Author: weiji14

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)

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)