Deal with compatibility with both geopandas v0.x and v1.x

pygmt/helpers/tempfile.py

@@ -9,6 +9,7 @@
 from tempfile import NamedTemporaryFile
 
 import numpy as np
+from packaging.version import Version
 
 
 def unique_name():
@@ -140,23 +141,33 @@ def tempfile_from_geojson(geojson):
             # 32-bit integer overflow issue. Related issues:
             # https://github.com/geopandas/geopandas/issues/967#issuecomment-842877704
             # https://github.com/GenericMappingTools/pygmt/issues/2497
-            if geojson.index.name is None:
-                geojson.index.name = "index"
-            geojson = geojson.reset_index(drop=False)
-            schema = gpd.io.file.infer_schema(geojson)
-            for col, dtype in schema["properties"].items():
-                if dtype in ("int", "int64"):
-                    overflow = geojson[col].abs().max() > 2**31 - 1
-                    schema["properties"][col] = "float" if overflow else "int32"
-            ogrgmt_kwargs["schema"] = schema
+            if Version(gpd.__version__).major < 1:  # GeoPandas v0.x
+                # The default engine 'fiona' supports the 'schema' parameter.
+                if geojson.index.name is None:
+                    geojson.index.name = "index"
+                geojson = geojson.reset_index(drop=False)
+                schema = gpd.io.file.infer_schema(geojson)
+                for col, dtype in schema["properties"].items():
+                    if dtype in ("int", "int64"):
+                        overflow = geojson[col].abs().max() > 2**31 - 1
+                        schema["properties"][col] = "float" if overflow else "int32"
+                ogrgmt_kwargs["schema"] = schema
+            else:  # GeoPandas v1.x.
+                # The default engine "pyogrio" doesn't support the 'schema' parameter
+                # but we can change the dtype directly.
+                for col in geojson.columns:
+                    if geojson[col].dtype in ("int", "int64", "Int64"):
+                        overflow = geojson[col].abs().max() > 2**31 - 1
+                        dtype = "float" if overflow else "int32"
+                        geojson[col] = geojson[col].astype(dtype)
             # Using geopandas.to_file to directly export to OGR_GMT format
             geojson.to_file(**ogrgmt_kwargs)
         except AttributeError:
             # Other 'geo' formats which implement __geo_interface__
             import json
 
             jsontext = json.dumps(geojson.__geo_interface__)
-            gpd.read_file(io.StringIO(jsontext)).to_file(**ogrgmt_kwargs)
+            gpd.read_file(filename=io.StringIO(jsontext)).to_file(**ogrgmt_kwargs)
 
         yield tmpfile.name