dtype defaults to an empty string, rather than None

seisman · seisman · commit afeaa3858546 · 2024-11-15T13:31:45.000+08:00
diff --git a/pygmt/clib/conversion.py b/pygmt/clib/conversion.py
@@ -169,7 +169,7 @@ def _to_numpy(data: Any) -> np.ndarray:
     }
 
     # The expected numpy dtype for the result numpy array, but can be None.
-    dtype = dtypes.get(str(getattr(data, "dtype", getattr(data, "type", None))))
+    dtype = dtypes.get(str(getattr(data, "dtype", getattr(data, "type", ""))))
 
     # pandas numeric dtypes were converted to np.object_ dtype prior pandas 2.2, and are
     # converted to suitable NumPy dtypes since pandas 2.2. Refer to the following link

Original file line number	Diff line number	Diff line change
`@@ -169,7 +169,7 @@ def _to_numpy(data: Any) -> np.ndarray:`
`169`	`169`	`}`
`170`	`170`
`171`	`171`	`# The expected numpy dtype for the result numpy array, but can be None.`
`172`		`- dtype = dtypes.get(str(getattr(data, "dtype", getattr(data, "type", None))))`
	`172`	`+ dtype = dtypes.get(str(getattr(data, "dtype", getattr(data, "type", ""))))`
`173`	`173`
`174`	`174`	`# pandas numeric dtypes were converted to np.object_ dtype prior pandas 2.2, and are`
`175`	`175`	`# converted to suitable NumPy dtypes since pandas 2.2. Refer to the following link`