@@ -153,7 +153,7 @@ def writable_table(
153153 ),
154154 "float_col" : [1.125 , - 2.375 , 0.0 ],
155155 "int64_col" : pandas .Series (
156- [(2 ** 63 ) - 1 , - 1 , - (2 ** 63 )], dtype = "Int64"
156+ [(2 ** 63 ) - 1 , - 1 , - (2 ** 63 )], dtype = "Int64"
157157 ),
158158 "numeric_col" : [
159159 decimal .Decimal ("123.456789" ),
@@ -377,15 +377,25 @@ def writable_table(
377377 else "object" ,
378378 ),
379379 "bytes_col" : [None ],
380- "date_col" : pandas .Series ([None ], dtype = db_dtypes .DateDtype (),),
381- "datetime_col" : pandas .Series ([None ], dtype = "datetime64[ns]" ,),
380+ "date_col" : pandas .Series (
381+ [None ],
382+ dtype = db_dtypes .DateDtype (),
383+ ),
384+ "datetime_col" : pandas .Series (
385+ [None ],
386+ dtype = "datetime64[ns]" ,
387+ ),
382388 "float_col" : pandas .Series ([None ], dtype = "float64" ),
383389 "int64_col" : pandas .Series ([None ], dtype = "Int64" ),
384390 "numeric_col" : [None ],
385391 "string_col" : [None ],
386- "time_col" : pandas .Series ([None ], dtype = db_dtypes .TimeDtype (),),
392+ "time_col" : pandas .Series (
393+ [None ],
394+ dtype = db_dtypes .TimeDtype (),
395+ ),
387396 "timestamp_col" : pandas .Series (
388- [None ], dtype = "datetime64[ns]" ,
397+ [None ],
398+ dtype = "datetime64[ns]" ,
389399 ).dt .tz_localize (datetime .timezone .utc ),
390400 }
391401 ),
@@ -605,19 +615,30 @@ def test_empty_dataframe(read_gbq, use_bqstorage_api):
605615 {
606616 "row_num" : pandas .Series ([], dtype = "Int64" ),
607617 "bool_col" : pandas .Series (
608- [], dtype = "boolean" if FEATURES .pandas_has_boolean_dtype else "bool" ,
618+ [],
619+ dtype = "boolean" if FEATURES .pandas_has_boolean_dtype else "bool" ,
609620 ),
610621 "bytes_col" : pandas .Series ([], dtype = "object" ),
611- "date_col" : pandas .Series ([], dtype = db_dtypes .DateDtype (),),
612- "datetime_col" : pandas .Series ([], dtype = "datetime64[ns]" ,),
622+ "date_col" : pandas .Series (
623+ [],
624+ dtype = db_dtypes .DateDtype (),
625+ ),
626+ "datetime_col" : pandas .Series (
627+ [],
628+ dtype = "datetime64[ns]" ,
629+ ),
613630 "float_col" : pandas .Series ([], dtype = "float64" ),
614631 "int64_col" : pandas .Series ([], dtype = "Int64" ),
615632 "numeric_col" : pandas .Series ([], dtype = "object" ),
616633 "string_col" : pandas .Series ([], dtype = "object" ),
617- "time_col" : pandas .Series ([], dtype = db_dtypes . TimeDtype (),),
618- "timestamp_col" : pandas . Series ([], dtype = "datetime64[ns]" ,). dt . tz_localize (
619- datetime . timezone . utc
634+ "time_col" : pandas .Series (
635+ [],
636+ dtype = db_dtypes . TimeDtype (),
620637 ),
638+ "timestamp_col" : pandas .Series (
639+ [],
640+ dtype = "datetime64[ns]" ,
641+ ).dt .tz_localize (datetime .timezone .utc ),
621642 }
622643 )
623644 result = read_gbq (query , use_bqstorage_api = use_bqstorage_api )
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