Detail: Batch: Dictionary-Like
Overview: Batch: Dictionary-Like
- Batch.__iter__()[source]
Iterator of
Framelabels, same asBatch.keys.>>> bt = sf.Batch((('i', sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), index=sf.IndexHierarchy.from_product((0, 1), ('p', 'q')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x')), ('j', sf.Frame.from_fields(((23, 83, 19, 87), (True, True, False, False), ('2022-01-01', '2023-04-01', '2022-12-31', '2024-06-30')), index=sf.IndexHierarchy.from_product((0, 1), ('p', 'q')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x')))) >>> tuple(bt.__iter__()) ('i', 'j')
- Batch.items()[source]
Iterator of labels,
Frame.>>> bt = sf.Batch((('i', sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), index=sf.IndexHierarchy.from_product((0, 1), ('p', 'q')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x')), ('j', sf.Frame.from_fields(((23, 83, 19, 87), (True, True, False, False), ('2022-01-01', '2023-04-01', '2022-12-31', '2024-06-30')), index=sf.IndexHierarchy.from_product((0, 1), ('p', 'q')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x')))) >>> tuple(bt.items()) (('i', <Frame: x> <Index> a b c <<U1> <IndexHierarchy> 0 p 10 False 1517-01-01 0 q 2 True 1517-04-01 1 p 8 True 1517-12-31 1 q 3 False 1517-06-30 <int64> <<U1> <int64> <bool> <datetime64[D]>), ('j', <Frame: x> <Index> a b c <<U1> <IndexHierarchy> 0 p 23 True 2022-01-01 0 q 83 True 2023-04-01 1 p 19 False 2022-12-31 1 q 87 False 2024-06-30 <int64> <<U1> <int64> <bool> <datetime64[D]>))
- Batch.keys()[source]
Iterator of
Framelabels.>>> bt = sf.Batch((('i', sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), index=sf.IndexHierarchy.from_product((0, 1), ('p', 'q')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x')), ('j', sf.Frame.from_fields(((23, 83, 19, 87), (True, True, False, False), ('2022-01-01', '2023-04-01', '2022-12-31', '2024-06-30')), index=sf.IndexHierarchy.from_product((0, 1), ('p', 'q')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x')))) >>> tuple(bt.keys()) ('i', 'j')
- Batch.values
Return an iterator of values (
FrameorSeries) stored in thisBatch.>>> bt = sf.Batch((('i', sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), index=sf.IndexHierarchy.from_product((0, 1), ('p', 'q')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x')), ('j', sf.Frame.from_fields(((23, 83, 19, 87), (True, True, False, False), ('2022-01-01', '2023-04-01', '2022-12-31', '2024-06-30')), index=sf.IndexHierarchy.from_product((0, 1), ('p', 'q')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x')))) >>> tuple(bt.values) (<Frame: x> <Index> a b c <<U1> <IndexHierarchy> 0 p 10 False 1517-01-01 0 q 2 True 1517-04-01 1 p 8 True 1517-12-31 1 q 3 False 1517-06-30 <int64> <<U1> <int64> <bool> <datetime64[D]>, <Frame: x> <Index> a b c <<U1> <IndexHierarchy> 0 p 23 True 2022-01-01 0 q 83 True 2023-04-01 1 p 19 False 2022-12-31 1 q 87 False 2024-06-30 <int64> <<U1> <int64> <bool> <datetime64[D]>)
Batch: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Selector | Operator Binary | Operator Unary | Accessor Values | Accessor Datetime | Accessor String | Accessor Transpose | Accessor Fill Value | Accessor Regular Expression | Accessor Hashlib | Accessor Type Clinic | Accessor Reduce