@@ -198,7 +198,9 @@ def to_dict(
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if i in object_dtype_indices_as_set
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else list (map (maybe_box_native , v .to_numpy ())),
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)
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- for i , (box_na_value , (k , v )) in enumerate (zip (box_na_values , df .items (), strict = True ))
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+ for i , (box_na_value , (k , v )) in enumerate (
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+ zip (box_na_values , df .items (), strict = True )
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+ )
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)
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elif orient == "split" :
@@ -240,7 +242,8 @@ def to_dict(
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]
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else :
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data = [
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- into_c (zip (columns , t , strict = True )) for t in df .itertuples (index = False , name = None )
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+ into_c (zip (columns , t , strict = True ))
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+ for t in df .itertuples (index = False , name = None )
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]
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if box_native_indices :
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object_dtype_indices_as_set = set (box_native_indices )
@@ -272,14 +275,17 @@ def to_dict(
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column : maybe_box_native (v )
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if i in object_dtype_indices_as_set
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else v
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- for i , (column , v ) in enumerate (zip (columns , t [1 :], strict = True ))
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+ for i , (column , v ) in enumerate (
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+ zip (columns , t [1 :], strict = True )
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+ )
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},
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)
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for t in df .itertuples (name = None )
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)
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else :
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return into_c (
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- (t [0 ], dict (zip (columns , t [1 :], strict = True ))) for t in df .itertuples (name = None )
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+ (t [0 ], dict (zip (columns , t [1 :], strict = True )))
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+ for t in df .itertuples (name = None )
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)
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else :
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