Typing

SPARQLWrapper/sparql_dataframe.py

@@ -4,6 +4,7 @@
 import io
 from typing import Dict, List, Union
 
+import pandas as pd
 import rdflib.term
 
 from SPARQLWrapper.SmartWrapper import Bindings, SPARQLWrapper2, Value
@@ -16,9 +17,6 @@ class QueryException(Exception):
 
 def get_sparql_dataframe_orig(endpoint: str, query: Union[str, bytes]) -> pd.DataFrame:
     """copy paste from: https://github.com/lawlesst/sparql-dataframe"""
-    # pandas inside to avoid requiring it
-    import pandas as pd
-
     sparql = SPARQLWrapper(endpoint)
     sparql.setQuery(query)
     if sparql.queryType != SELECT:
@@ -36,9 +34,6 @@ def get_sparql_typed_dict(
     endpoint: str, query: Union[str, bytes]
 ) -> List[Dict[str, Value]]:
     """modified from: https://github.com/lawlesst/sparql-dataframe"""
-    # pandas inside to avoid requiring it
-    import pandas as pd
-
     sparql = SPARQLWrapper2(endpoint)
     sparql.setQuery(query)
     if sparql.queryType != SELECT:
@@ -61,9 +56,6 @@ def get_sparql_typed_dict(
 
 
 def get_sparql_dataframe(endpoint: str, query: Union[str, bytes]) -> pd.DataFrame:
-    # pandas inside to avoid requiring it
-    import pandas as pd
-
     d = get_sparql_typed_dict(endpoint, query)
     # TODO: will nan fill somehow, make more strict if there is way of getting the nan types from rdflib
     df = pd.DataFrame(d)

setup.cfg

@@ -38,13 +38,12 @@ packages =
 include_package_data = True
 install_requires =
     rdflib>=6.1.1
+    pandas>=1.3.5
 python_requires = >= 3.7
 
 [options.extras_require]
 dev =
     setuptools>=3.7.1
-pandas =
-    pandas>=1.3.5
 keepalive =
     keepalive>=0.5