STY: Add strict=True in zip() in to_dict.py

Author: invain01

pandas/core/methods/to_dict.py

@@ -198,7 +198,7 @@ def to_dict(
                 if i in object_dtype_indices_as_set
                 else list(map(maybe_box_native, v.to_numpy())),
             )
-            for i, (box_na_value, (k, v)) in enumerate(zip(box_na_values, df.items()))
+            for i, (box_na_value, (k, v)) in enumerate(zip(box_na_values, df.items(), strict=True))
         )
 
     elif orient == "split":
@@ -235,12 +235,12 @@ def to_dict(
         columns = df.columns.tolist()
         if are_all_object_dtype_cols:
             return [
-                into_c(zip(columns, map(maybe_box_native, row)))
+                into_c(zip(columns, map(maybe_box_native, row), strict=True))
                 for row in df.itertuples(index=False, name=None)
             ]
         else:
             data = [
-                into_c(zip(columns, t)) for t in df.itertuples(index=False, name=None)
+                into_c(zip(columns, t, strict=True)) for t in df.itertuples(index=False, name=None)
             ]
             if box_native_indices:
                 object_dtype_indices_as_set = set(box_native_indices)
@@ -260,7 +260,7 @@ def to_dict(
         columns = df.columns.tolist()
         if are_all_object_dtype_cols:
             return into_c(
-                (t[0], dict(zip(df.columns, map(maybe_box_native, t[1:]))))
+                (t[0], dict(zip(df.columns, map(maybe_box_native, t[1:]), strict=True)))
                 for t in df.itertuples(name=None)
             )
         elif box_native_indices:
@@ -272,14 +272,14 @@ def to_dict(
                         column: maybe_box_native(v)
                         if i in object_dtype_indices_as_set
                         else v
-                        for i, (column, v) in enumerate(zip(columns, t[1:]))
+                        for i, (column, v) in enumerate(zip(columns, t[1:], strict=True))
                     },
                 )
                 for t in df.itertuples(name=None)
             )
         else:
             return into_c(
-                (t[0], dict(zip(columns, t[1:]))) for t in df.itertuples(name=None)
+                (t[0], dict(zip(columns, t[1:], strict=True))) for t in df.itertuples(name=None)
             )
 
     else: