otp.Source.table#

Source.table(inplace=False, strict=True, **schema)#

Set the OneTick and python schemas levels according to the schema parameter. The schema should contain either (field_name -> type) pairs or (field_name -> default value) pairs; None means no specified type, and OneTick considers it’s as a double type.

Resulting ticks have the same order as in the schema. If only partial fields are specified (i.e. when the strict=False) then fields from the schema have the most left position.

Parameters

inplace (bool) – The flag controls whether operations should be applied inplace
strict (bool) – If set to False, all fields present in an input tick will be present in the output tick. If True, then only fields specified in the schema.
schema – field_name -> type or field_name -> default value pairs that should be applied on the source.
self (Source) –

Return type

Source or None

Examples

Selection case

>>> data = otp.Ticks(X1=[1, 2, 3],
...                  X2=[3, 2, 1],
...                  A1=["A", "A", "A"])
>>> data = data.table(X2=int, A1=str)
>>> otp.run(data)
                     Time  X2 A1
0 2003-12-01 00:00:00.000   3  A
1 2003-12-01 00:00:00.001   2  A
2 2003-12-01 00:00:00.002   1  A

Defining default values case (note the order)

>>> data = otp.Ticks(X=[1, 2, 3])
>>> data = data.table(Y=0.5, strict=False)
>>> otp.run(data)
                     Time   Y   X
0 2003-12-01 00:00:00.000  0.5  1
1 2003-12-01 00:00:00.001  0.5  2
2 2003-12-01 00:00:00.002  0.5  3