@@ -73,12 +73,13 @@ def color_categorical_pandas(request, pandas_type):
7373def dates_array (request ):
7474 return np .array (
7575 [
76- datetime (year = 2013 , month = 10 , day = 10 ),
77- datetime (year = 2013 , month = 11 , day = 10 ),
78- datetime (year = 2013 , month = 12 , day = 10 ),
79- datetime (year = 2014 , month = 1 , day = 10 ),
80- datetime (year = 2014 , month = 2 , day = 10 ),
81- ]
76+ "2013-10-10" ,
77+ "2013-11-10" ,
78+ "2013-12-10" ,
79+ "2014-01-10" ,
80+ "2014-02-10" ,
81+ ],
82+ dtype = "datetime64[ns]" ,
8283 )
8384
8485
@@ -183,7 +184,7 @@ def test_data_array_validator_dates_series(
183184 assert isinstance (res , np .ndarray )
184185
185186 # Check dtype
186- assert res .dtype == "object "
187+ assert res .dtype == "<M8[ns] "
187188
188189 # Check values
189190 np .testing .assert_array_equal (res , dates_array )
@@ -200,7 +201,7 @@ def test_data_array_validator_dates_dataframe(
200201 assert isinstance (res , np .ndarray )
201202
202203 # Check dtype
203- assert res .dtype == "object "
204+ assert res .dtype == "<M8[ns] "
204205
205206 # Check values
206207 np .testing .assert_array_equal (res , dates_array .reshape (len (dates_array ), 1 ))
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