Detail: FrameGO: Attribute

Overview: FrameGO: Attribute

FrameGO.STATIC = False
>>> f = sf.FrameGO.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
False
FrameGO.T

Transpose. Return a Frame with index as columns and vice versa.

>>> f = sf.FrameGO.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
<FrameGO: x>
<IndexGO>    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>
FrameGO.columns

The IndexBase instance assigned for column labels.

>>> f = sf.FrameGO.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
<IndexGO>
a
b
c
<<U1>
FrameGO.dtypes

Return a Series of dytpes for each realizable column.

Returns:

static_frame.Series

>>> f = sf.FrameGO.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>
FrameGO.index

The IndexBase instance assigned for row labels.

>>> f = sf.FrameGO.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>
FrameGO.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.FrameGO.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 1.15 KB    1.18 KB    954  B     9.26 KB    1.21 KB    978  B
Blocks  748  B     796  B     412  B     748  B     796  B     412  B
Total   2.19 KB    2.28 KB    1.53 KB    10.3 KB    2.34 KB    1.59 KB
FrameGO.mloc

The memory locations, represented as an array of integers, of the underlying NumPy arrays.

FrameGO.name

A hashable label attached to this container.

Returns:

Hashable

>>> f = sf.FrameGO.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
FrameGO.nbytes

Return the total bytes of the underlying NumPy array.

Returns:

int

>>> f = sf.FrameGO.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
FrameGO.ndim

Return the number of dimensions, which for a Frame is always 2.

Returns:

int

>>> f = sf.FrameGO.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
FrameGO.shape

Return a tuple describing the shape of the underlying NumPy array.

Returns:

tp.Tuple[int, int]

>>> f = sf.FrameGO.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)
FrameGO.size

Return the size of the underlying NumPy array.

Returns:

int

>>> f = sf.FrameGO.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

FrameGO: 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