Detail: Frame: Attribute
- Frame.STATIC = True
>>> 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.STATIC True
- Frame.T
Transpose. Return a
Frame
withindex
ascolumns
and vice versa.>>> 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.T <Frame: x> <Index> 0 1 2 3 <int64> <Index> a 10 2 8 3 b False True True False c 1517-01-01 1517-04-01 1517-12-31 1517-06-30 <<U1> <object> <object> <object> <object>
- Frame.columns
The
IndexBase
instance assigned for column labels.>>> 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.columns <Index> a b c <<U1>
- Frame.dtypes
Return a Series of dytpes for each realizable column.
- Returns:
>>> 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.dtypes <Series: x> <Index> a int64 b bool c datetime64[D] <<U1> <object>
- Frame.index
The
IndexBase
instance assigned for row labels.>>> 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.index <Index> 0 1 2 3 <int64>
- Frame.memory
Return a
MemoryDisplay
, providing the size in memory of this object. For compound containers, component sizes will also be provided. Size can be interpreted through six combinations of three configurations:L: Local: memory ignoring referenced array data provided via views. LM: Local Materialized: memory where arrays that are locally owned report their byte payload LMD: Local Materialized Data: locally owned memory of arrays byte payloads, excluding all other components
R: Referenced: memory including referenced array data provided via views RM: Referenced Materialized: memory where arrays that are locally owned or referenced report their byte payload RMD: Referenced Materialized Data: localy owned and referenced array byte payloads, excluding all other components
>>> 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.memory L Lu LM LMu LMD LMDu R Ru RM RMu RMD RMDu Name 50 B 50 B 50 B 50 B 50 B 50 B Index 236 B 252 B 124 B 8.34 KB 284 B 156 B Columns 800 B 832 B 576 B 8.89 KB 856 B 600 B Blocks 748 B 796 B 412 B 748 B 796 B 412 B Total 1.82 KB 1.91 KB 1.16 KB 9.93 KB 1.97 KB 1.22 KB
- Frame.mloc
The memory locations, represented as an array of integers, of the underlying NumPy arrays.
- Frame.name
A hashable label attached to this container.
- Returns:
Hashable
>>> 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.name x
- Frame.nbytes
Return the total bytes of the underlying NumPy array.
- Returns:
int
>>> 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.nbytes 68
- Frame.ndim
Return the number of dimensions, which for a Frame is always 2.
- Returns:
int
>>> 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.ndim 2
- Frame.shape
Return a tuple describing the shape of the underlying NumPy array.
- Returns:
tp.Tuple[int, int]
>>> 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.shape (4, 3)
- Frame.size
Return the size of the underlying NumPy array.
- Returns:
int
>>> 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.size 12
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