Detail: Yarn: Dictionary-Like#

Yarn.__contains__(value, /)[source]#

Inclusion of value in index labels.

Returns:: bool

>>> y = sf.Yarn.from_buses((sf.Bus.from_frames((sf.Frame(np.arange(6).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='x'), sf.Frame((np.arange(6).reshape(3,2) % 2).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='y')), name='i'), sf.Bus.from_frames((sf.Frame(np.arange(40, 46).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='v'), sf.Frame((np.arange(6).reshape(3,2) % 3).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='w')), name='j')), retain_labels=True)
>>> y
<Yarn>
<IndexHierarchy>
i                x     Frame
i                y     Frame
j                v     Frame
j                w     Frame
<<U1>            <<U1> <object>
>>> y.__contains__('a')
False

Yarn.__iter__()[source]#

Iterator of index labels, same as static_frame.Series.keys.

Returns:: Iterator[Hashasble]

>>> y = sf.Yarn.from_buses((sf.Bus.from_frames((sf.Frame(np.arange(6).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='x'), sf.Frame((np.arange(6).reshape(3,2) % 2).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='y')), name='i'), sf.Bus.from_frames((sf.Frame(np.arange(40, 46).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='v'), sf.Frame((np.arange(6).reshape(3,2) % 3).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='w')), name='j')), retain_labels=True)
>>> y
<Yarn>
<IndexHierarchy>
i                x     Frame
i                y     Frame
j                v     Frame
j                w     Frame
<<U1>            <<U1> <object>
>>> tuple(y.__iter__())
((np.str_('i'), np.str_('x')), (np.str_('i'), np.str_('y')), (np.str_('j'), np.str_('v')), (np.str_('j'), np.str_('w')))

Yarn.__reversed__()[source]#

Returns a reverse iterator on the Yarn index.

Returns:: Index

>>> y = sf.Yarn.from_buses((sf.Bus.from_frames((sf.Frame(np.arange(6).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='x'), sf.Frame((np.arange(6).reshape(3,2) % 2).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='y')), name='i'), sf.Bus.from_frames((sf.Frame(np.arange(40, 46).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='v'), sf.Frame((np.arange(6).reshape(3,2) % 3).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='w')), name='j')), retain_labels=True)
>>> y
<Yarn>
<IndexHierarchy>
i                x     Frame
i                y     Frame
j                v     Frame
j                w     Frame
<<U1>            <<U1> <object>
>>> tuple(y.__reversed__())
((np.str_('j'), np.str_('w')), (np.str_('j'), np.str_('v')), (np.str_('i'), np.str_('y')), (np.str_('i'), np.str_('x')))

Yarn.get(key, default=None)[source]#

Return the value found at the index key, else the default if the key is not found.

Returns:: Any

>>> y = sf.Yarn.from_buses((sf.Bus.from_frames((sf.Frame(np.arange(6).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='x'), sf.Frame((np.arange(6).reshape(3,2) % 2).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='y')), name='i'), sf.Bus.from_frames((sf.Frame(np.arange(40, 46).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='v'), sf.Frame((np.arange(6).reshape(3,2) % 3).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='w')), name='j')), retain_labels=True)
>>> y
<Yarn>
<IndexHierarchy>
i                x     Frame
i                y     Frame
j                v     Frame
j                w     Frame
<<U1>            <<U1> <object>
>>> y.get('a')
>>> y.get('z', -1)
-1

Yarn.items()[source]#

Iterator of pairs of Yarn label and contained Frame.

>>> y = sf.Yarn.from_buses((sf.Bus.from_frames((sf.Frame(np.arange(6).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='x'), sf.Frame((np.arange(6).reshape(3,2) % 2).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='y')), name='i'), sf.Bus.from_frames((sf.Frame(np.arange(40, 46).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='v'), sf.Frame((np.arange(6).reshape(3,2) % 3).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='w')), name='j')), retain_labels=True)
>>> y
<Yarn>
<IndexHierarchy>
i                x     Frame
i                y     Frame
j                v     Frame
j                w     Frame
<<U1>            <<U1> <object>
>>> tuple(y.items())
(((np.str_('i'), np.str_('x')), <Frame: x>
<Index>    a       b       <<U1>
<Index>
p          0       1
q          2       3
r          4       5
<<U1>      <int64> <int64>), ((np.str_('i'), np.str_('y')), <Frame: y>
<Index>    c      d      <<U1>
<Index>
p          False  True
q          False  True
r          False  True
<<U1>      <bool> <bool>), ((np.str_('j'), np.str_('v')), <Frame: v>
<Index>    a       b       <<U1>
<Index>
p          40      41
q          42      43
r          44      45
<<U1>      <int64> <int64>), ((np.str_('j'), np.str_('w')), <Frame: w>
<Index>    c      d      <<U1>
<Index>
p          False  True
q          True   False
r          True   True
<<U1>      <bool> <bool>))

Yarn.keys()[source]#

Iterator of index labels.

Returns:: Iterator[Hashable]

>>> y = sf.Yarn.from_buses((sf.Bus.from_frames((sf.Frame(np.arange(6).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='x'), sf.Frame((np.arange(6).reshape(3,2) % 2).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='y')), name='i'), sf.Bus.from_frames((sf.Frame(np.arange(40, 46).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='v'), sf.Frame((np.arange(6).reshape(3,2) % 3).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='w')), name='j')), retain_labels=True)
>>> y
<Yarn>
<IndexHierarchy>
i                x     Frame
i                y     Frame
j                v     Frame
j                w     Frame
<<U1>            <<U1> <object>
>>> y.keys()
<IndexHierarchy>
i                x
i                y
j                v
j                w
<<U1>            <<U1>

Yarn.values#

A 1D object array of all Frame contained in all contained Bus.

>>> y = sf.Yarn.from_buses((sf.Bus.from_frames((sf.Frame(np.arange(6).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='x'), sf.Frame((np.arange(6).reshape(3,2) % 2).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='y')), name='i'), sf.Bus.from_frames((sf.Frame(np.arange(40, 46).reshape(3,2), index=('p', 'q', 'r'), columns=('a', 'b'), name='v'), sf.Frame((np.arange(6).reshape(3,2) % 3).astype(bool), index=('p', 'q', 'r'), columns=('c', 'd'), name='w')), name='j')), retain_labels=True)
>>> y
<Yarn>
<IndexHierarchy>
i                x     Frame
i                y     Frame
j                v     Frame
j                w     Frame
<<U1>            <<U1> <object>
>>> y.values
[<Frame: x>
 <Index>    a       b       <<U1>
 <Index>
 p          0       1
 q          2       3
 r          4       5
 <<U1>      <int64> <int64>       <Frame: y>
                                  <Index>    c      d      <<U1>
                                  <Index>
                                  p          False  True
                                  q          False  True
                                  r          False  True
                                  <<U1>      <bool> <bool>
 <Frame: v>
 <Index>    a       b       <<U1>
 <Index>
 p          40      41
 q          42      43
 r          44      45
 <<U1>      <int64> <int64>       <Frame: w>
                                  <Index>    c      d      <<U1>
                                  <Index>
                                  p          False  True
                                  q          True   False
                                  r          True   True
                                  <<U1>      <bool> <bool>      ]