Fix drop() method to handle quoted column names consistently

- Strip quotes from column names in drop() method
- Maintains consistency with other DataFrame operations
- Both drop('col') and drop('col') now work

Fixes #1212

Author: H0TB0X420

python/datafusion/dataframe.py

@@ -415,7 +415,14 @@ def drop(self, *columns: str) -> DataFrame:
         Returns:
             DataFrame with those columns removed in the projection.
         """
-        return DataFrame(self.df.drop(*columns))
+        normalized_columns = []
+        for col in columns:
+            if col.startswith('"') and col.endswith('"'):
+                normalized_columns.append(col.strip('"')) # Removes quotes from both sides of col
+            else:
+                normalized_columns.append(col)
+        
+        return DataFrame(self.df.drop(*normalized_columns))
 
     def filter(self, *predicates: Expr) -> DataFrame:
         """Return a DataFrame for which ``predicate`` evaluates to ``True``.

python/tests/test_dataframe.py

@@ -216,7 +216,16 @@ def test_select(df):
     assert result.column(0) == pa.array([4, 5, 6])
     assert result.column(1) == pa.array([1, 2, 3])
 
-
+def test_drop_quoted_columns():
+    ctx = SessionContext()
+    batch = pa.RecordBatch.from_arrays([pa.array([1, 2, 3])], names=["ID_For_Students"])
+    df = ctx.create_dataframe([[batch]])
+    
+    # Both should work
+    assert df.drop('"ID_For_Students"').schema().names == []
+    assert df.drop('ID_For_Students').schema().names == []
+
+    
 def test_select_mixed_expr_string(df):
     df = df.select(column("b"), "a")