@@ -36,7 +36,7 @@ def test_float_int(df_from_dict):
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}
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)
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dfX = df .__dataframe__ ()
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- columns = { "a" : 0 , "b" : 0 , "c" : 2 , "d" : 0 , "e" : 20 , "f" : 21 }
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+ columns = [ INT , INT , FLOAT , INT , BOOL , STRING ]
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for column , kind in columns .items ():
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colX = dfX .get_column_by_name (column )
@@ -46,8 +46,6 @@ def test_float_int(df_from_dict):
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assert colX .dtype [0 ] == kind
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- assert dfX .get_column_by_name ("c" ).dtype [1 ] == 64
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-
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def test_na_float (df_from_dict ):
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df = df_from_dict ({"a" : [1.0 , math .nan , 2.0 ]})
@@ -85,10 +83,10 @@ def test_dataframe(df_from_dict):
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assert dfX .num_columns () == 3
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assert dfX .num_rows () == 3
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assert dfX .num_chunks () == 1
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- assert dfX .column_names () == ["x" , "y" , "z" ]
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+ assert list ( dfX .column_names () ) == ["x" , "y" , "z" ]
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assert (
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- dfX .select_columns ((0 , 2 )).column_names ()
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- == dfX .select_columns_by_name (("x" , "z" )).column_names ()
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+ list ( dfX .select_columns ((0 , 2 )).column_names () )
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+ == list ( dfX .select_columns_by_name (("x" , "z" )).column_names () )
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)
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@@ -116,8 +114,8 @@ def test_get_columns(df_from_dict):
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for colX in dfX .get_columns ():
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assert colX .size == 2
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assert colX .num_chunks () == 1
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- assert dfX .get_column (0 ).dtype [0 ] == 0
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- assert dfX .get_column (1 ).dtype [0 ] == 2
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+ assert dfX .get_column (0 ).dtype [0 ] == INT
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+ assert dfX .get_column (1 ).dtype [0 ] == FLOAT
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def test_buffer (df_from_dict ):
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