Detail: Frame: Display#
- Frame.interface#
A Frame documenting the interface of this class.
>>> f = sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x') >>> f <Frame: x> <Index> a b c <<U1> <Index> 0 10 False 1517-01-01 1 2 True 1517-04-01 2 8 True 1517-12-31 3 3 False 1517-06-30 <int64> <int64> <bool> <datetime64[D]> >>> f.interface <Frame> <Index> cls_name group doc <<U18> <Index: signature> __init__(data, /, *, index, colum... Frame Constructor Initializer. Args... from_arrow(value, /, *, index_dep... Frame Constructor Realize a Frame f... from_clipboard(*, delimiter, inde... Frame Constructor Create a Frame fr... from_concat(frames, /, *, axis, u... Frame Constructor Concatenate multi... from_concat_items(items, /, *, ax... Frame Constructor Produce a Frame w... from_csv(fp, /, *, index_depth, i... Frame Constructor Specialized versi... from_delimited(fp, /, *, delimite... Frame Constructor Create a Frame fr... from_dict(mapping, /, *, index, f... Frame Constructor Create a Frame fr... from_dict_fields(fields, /, *, co... Frame Constructor Frame constructor... from_dict_records(records, /, *, ... Frame Constructor Frame constructor... from_dict_records_items(items, /,... Frame Constructor Frame constructor... from_element(element, /, *, index... Frame Constructor Create a Frame fr... from_element_items(items, /, *, i... Frame Constructor Create a Frame fr... from_elements(elements, /, *, ind... Frame Constructor Create a Frame fr... from_fields(fields, /, *, index, ... Frame Constructor Frame constructor... from_items(pairs, /, *, index, fi... Frame Constructor Frame constructor... from_json_columns(json_data, /, *... Frame Constructor Frame constructor... ... ... ... ... reduce.from_func(func, *, fill_va... Frame Accessor Reduce For each Frame, a... reduce.from_func(func, *, fill_va... Frame Accessor Reduce For each Frame, a... reduce.from_map_func(func, *, fil... Frame Accessor Reduce For each Frame, r... reduce.from_map_func(func, *, fil... Frame Accessor Reduce For each Frame, r... reduce.from_map_func(func, *, fil... Frame Accessor Reduce For each Frame, r... reduce.from_map_func(func, *, fil... Frame Accessor Reduce For each Frame, r... reduce.from_map_func(func, *, fil... Frame Accessor Reduce For each Frame, r... reduce.from_label_map(func_map, *... Frame Accessor Reduce For Frame, reduce... reduce.from_label_map(func_map, *... Frame Accessor Reduce For Frame, reduce... reduce.from_label_map(func_map, *... Frame Accessor Reduce For Frame, reduce... reduce.from_label_map(func_map, *... Frame Accessor Reduce For Frame, reduce... reduce.from_label_map(func_map, *... Frame Accessor Reduce For Frame, reduce... reduce.from_label_pair_map(func_m... Frame Accessor Reduce For Frame, reduce... reduce.from_label_pair_map(func_m... Frame Accessor Reduce For Frame, reduce... reduce.from_label_pair_map(func_m... Frame Accessor Reduce For Frame, reduce... reduce.from_label_pair_map(func_m... Frame Accessor Reduce For Frame, reduce... reduce.from_label_pair_map(func_m... Frame Accessor Reduce For Frame, reduce... <<U163> <<U5> <<U27> <<U83>
- Frame.__repr__()#
Return repr(self).
>>> f = sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x') >>> repr(f) <Frame: x> <Index> a b c <<U1> <Index> 0 10 False 1517-01-01 1 2 True 1517-04-01 2 8 True 1517-12-31 3 3 False 1517-06-30 <int64> <int64> <bool> <datetime64[D]>
- Frame.__str__()#
Return str(self).
>>> f = sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x') >>> str(f) <Frame: x> <Index> a b c <<U1> <Index> 0 10 False 1517-01-01 1 2 True 1517-04-01 2 8 True 1517-12-31 3 3 False 1517-06-30 <int64> <int64> <bool> <datetime64[D]>
- Frame.display(config=None, /, *, style_config=None)[source]#
Return a
static_frame.Display, capable of providing a string representation.- Parameters:
config – A
static_frame.DisplayConfiginstance. If not provided, thestatic_frame.DisplayActivewill be used.
>>> f = sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x') >>> f.display() <Frame: x> <Index> a b c <<U1> <Index> 0 10 False 1517-01-01 1 2 True 1517-04-01 2 8 True 1517-12-31 3 3 False 1517-06-30 <int64> <int64> <bool> <datetime64[D]> >>> f.display(sf.DisplayConfig(type_show=False)) a b c 0 10 False 1517-01-01 1 2 True 1517-04-01 2 8 True 1517-12-31 3 3 False 1517-06-30
- Frame.display_tall(config=None, /)#
Maximize vertical presentation. Return a
static_frame.Display, capable of providing a string representation.- Parameters:
config – A
static_frame.DisplayConfiginstance. If not provided, thestatic_frame.DisplayActivewill be used.
>>> f = sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x') >>> f.display_tall() <Frame: x> <Index> a b c <<U1> <Index> 0 10 False 1517-01-01 1 2 True 1517-04-01 2 8 True 1517-12-31 3 3 False 1517-06-30 <int64> <int64> <bool> <datetime64[D]>
- Frame.display_wide(config=None, /)#
Maximize horizontal presentation. Return a
static_frame.Display, capable of providing a string representation.- Parameters:
config – A
static_frame.DisplayConfiginstance. If not provided, thestatic_frame.DisplayActivewill be used.
>>> f = sf.Frame.from_fields(((10, 2, 8, 3), (False, True, True, False), ('1517-01-01', '1517-04-01', '1517-12-31', '1517-06-30')), columns=('a', 'b', 'c'), dtypes=dict(c=np.datetime64), name='x') >>> f.display_wide() <Frame: x> <Index> a b c <<U1> <Index> 0 10 False 1517-01-01 1 2 True 1517-04-01 2 8 True 1517-12-31 3 3 False 1517-06-30 <int64> <int64> <bool> <datetime64[D]>
Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | 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