Refactor text to use virtualfile_from_vectors instead of pandas tempfile

Modified virtualfile_from_vectors to use put_strings on last column instead of put_vectors if it has a string data type. In theory this should work for `text`, but in reality, a segmentation fault happens.

Author: weiji14

pygmt/base_plotting.py

@@ -972,25 +972,12 @@ def text(
 
         with GMTTempFile(suffix=".txt") as tmpfile:
             with Session() as lib:
-                fname = textfiles if kind == "file" else ""
-                if kind == "vectors":
-                    if position is not None:
-                        fname = ""
-                    else:
-                        pd.DataFrame.from_dict(
-                            {
-                                "x": np.atleast_1d(x),
-                                "y": np.atleast_1d(y),
-                                "text": np.atleast_1d(text),
-                            }
-                        ).to_csv(
-                            tmpfile.name,
-                            sep="\t",
-                            header=False,
-                            index=False,
-                            quoting=csv.QUOTE_NONE,
-                        )
-                    fname = tmpfile.name
-
-                arg_str = " ".join([fname, build_arg_string(kwargs)])
-                lib.call_module("text", arg_str)
+                if kind == "file" or (kind == "vectors" and position is not None):
+                    file_context = dummy_context(textfiles)
+                elif kind == "vectors" and position is None:
+                    file_context = lib.virtualfile_from_vectors(
+                        np.atleast_1d(x), np.atleast_1d(y), np.atleast_1d(text)
+                    )
+                with file_context as fname:
+                    arg_str = " ".join([fname, build_arg_string(kwargs)])
+                    lib.call_module("text", arg_str)

pygmt/clib/session.py

@@ -1135,6 +1135,9 @@ def virtualfile_from_vectors(self, *vectors):
         arrays = vectors_to_arrays(vectors)
 
         columns = len(arrays)
+        if np.issubdtype(arrays[-1].dtype, np.str_):
+            columns -= 1
+
         rows = len(arrays[0])
         if not all(len(i) == rows for i in arrays):
             raise GMTInvalidInput("All arrays must have same size.")
@@ -1146,8 +1149,12 @@ def virtualfile_from_vectors(self, *vectors):
             family, geometry, mode="GMT_CONTAINER_ONLY", dim=[columns, rows, 1, 0]
         )
 
-        for col, array in enumerate(arrays):
+        # Use put_vector for first n columns with numerical type data
+        for col, array in enumerate(arrays[:columns]):
             self.put_vector(dataset, column=col, vector=array)
+        # Use put_strings for last column with string type data
+        for array in arrays[columns:]:
+            self.put_strings(dataset, family="GMT_IS_VECTOR", strings=array)
 
         with self.open_virtual_file(
             family, geometry, "GMT_IN|GMT_IS_REFERENCE", dataset