otp.state.dynamic_tick

dynamic_tick()

Can be used only in per-tick script function to define a dynamic tick local variable.

Dynamic ticks can be used with some methods of all tick sequences.

Return type

onetick.py.static value with tick object.

Examples

>>> def fun(tick):
...    t = otp.dynamic_tick()
...    t['X'] = tick['SUM']

See also

onetick.py.state.tick_list, onetick.py.state.tick_set, onetick.py.state.tick_deque

class _DynamicTick(name)

This tick type allow to add and update fields dynamically. This tick can be inserted to all tick sequences.

property schema

add_field(name, value)

Add field with name and value to the tick.

copy_fields(tick_object, field_names)

Copy fields with field_names from other tick_object. Fields not listed in the field_names argument of the function will be removed from tick.

get_datetime_value(field_name, check_schema=True)

Get value of the datetime field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• check_schema (bool) – Check that field_name exists in tick’s schema and its type is datetime. In some cases you may want to disable this behaviour, for example, when tick sequence is updated dynamically in different branches of per-tick script. In this case onetick-py can’t deduce if field_name exists in schema or has the same type.

Return type

onetick.py.core.column_operations.base.Operation

Examples

>>> def another_query():
...     t = otp.Ticks(X=['a', 'b', 'c'])
...     t['TS'] = t['TIMESTAMP'] + otp.Milli(1)
...     return t
>>> def fun(tick):
...     for t in tick.state_vars['LIST']:
...         tick['TS'] = t.get_datetime_value('TS')
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> otp.run(data)
        Time  A                      TS
0 2003-12-01  1 2003-12-01 00:00:00.003

get_double_value(field_name, check_schema=True)

Get value of the double field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• check_schema (bool) – Check that field_name exists in tick’s schema and its type is float. In some cases you may want to disable this behaviour, for example, when tick sequence is updated dynamically in different branches of per-tick script. In this case onetick-py can’t deduce if field_name exists in schema or has the same type.

Return type

onetick.py.core.column_operations.base.Operation

Examples

>>> def another_query():
...     return otp.Ticks(X=[1.1, 2.2, 3.3])
>>> def fun(tick):
...     tick['SUM'] = 0
...     for t in tick.state_vars['LIST']:
...         tick['SUM'] += t.get_double_value('X')
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> otp.run(data)
        Time  A  SUM
0 2003-12-01  1  6.6

get_long_value(field_name, dtype=int, check_schema=True)

Get value of the long field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• dtype (type) – Type to set for output operation. Should be set if value is integer’s subclass, e.g. short or byte. Default: int

• check_schema (bool) – Check that field_name exists in tick’s schema and its type is int. In some cases you may want to disable this behaviour, for example, when tick sequence is updated dynamically in different branches of per-tick script. In this case onetick-py can’t deduce if field_name exists in schema or has the same type.

Return type

onetick.py.core.column_operations.base.Operation

Examples

>>> def another_query():
...     return otp.Ticks(X=[1, 2, 3])
>>> def fun(tick):
...     tick['SUM'] = 0
...     for t in tick.state_vars['LIST']:
...         tick['SUM'] += t.get_long_value('X')
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> otp.run(data)
        Time  A  SUM
0 2003-12-01  1    6

get_string_value(field_name, dtype=str, check_schema=True)

Get value of the string field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• dtype (type) – Type to set for output operation. Should be set if value is string’s subclass, e.g. otp.varstring. Default: str

• check_schema (bool) – Check that field_name exists in tick’s schema and its type is str. In some cases you may want to disable this behaviour, for example, when tick sequence is updated dynamically in different branches of per-tick script. In this case onetick-py can’t deduce if field_name exists in schema or has the same type.

Return type

onetick.py.core.column_operations.base.Operation

Examples

>>> def another_query():
...     return otp.Ticks(X=['a', 'b', 'c'])
>>> def fun(tick):
...     for t in tick.state_vars['LIST']:
...         tick['S'] = t.get_string_value('X')
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> otp.run(data)
        Time  A  S
0 2003-12-01  1  c

get_value(field_name)

Get value of the field_name of the tick.

Examples

>>> def another_query():
...     return otp.Ticks(X=[1.1, 2.2, 3.3])
>>> def fun(tick):
...     tick['SUM'] = 0
...     for t in tick.state_vars['LIST']:
...         tick['SUM'] += t.get_value('X')
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> otp.run(data)
        Time  A  SUM
0 2003-12-01  1  6.6

Return type

onetick.py.core.column_operations.base.Operation

set_datetime_value(field_name, value, check_schema=True)

Set value of the datetime field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• value (int, float, str, otp.Operation) – Value to set or operation which return such value.

• check_schema (bool) – Check that field_name exists in tick’s schema and its type is the same as the type of value. In some cases you may want to disable this behaviour, for example, when tick sequence is updated dynamically in different branches of per-tick script. In this case onetick-py can’t deduce if field_name exists in schema or has the same type.

Examples

>>> def another_query():
...     t = otp.Ticks(X=['a', 'b', 'c'])
...     t['TS'] = t['TIMESTAMP'] + otp.Milli(1)
...     return t
>>> def fun(tick):
...     for t in tick.state_vars['LIST']:
...         t.set_datetime_value('TS', otp.config['default_start_time'])
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> data = data.state_vars['LIST'].dump()
>>> otp.run(data)
                     Time  X         TS
0 2003-12-01 00:00:00.000  a 2003-12-01
1 2003-12-01 00:00:00.001  b 2003-12-01
2 2003-12-01 00:00:00.002  c 2003-12-01

set_double_value(field_name, value, check_schema=True)

Set value of the double field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• value (float, otp.Operation) – Double value to set or operation which return such value.

• check_schema (bool) – Check that field_name exists in tick’s schema and its type is the same as the type of value. In some cases you may want to disable this behaviour, for example, when tick sequence is updated dynamically in different branches of per-tick script. In this case onetick-py can’t deduce if field_name exists in schema or has the same type.

Examples

>>> def another_query():
...     return otp.Ticks(A=[1, 2, 3], X=[1.1, 2.2, 3.3])
>>> def fun(tick):
...     for t in tick.state_vars['LIST']:
...         t.set_double_value('X', 1.1)
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> data = data.state_vars['LIST'].dump()
>>> otp.run(data)
                     Time  A    X
0 2003-12-01 00:00:00.000  1  1.1
1 2003-12-01 00:00:00.001  2  1.1
2 2003-12-01 00:00:00.002  3  1.1

set_long_value(field_name, value, check_schema=True)

Set value of the long field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• value (int, otp.Operation) – Long value to set or operation which return such value.

• check_schema (bool) – Check that field_name exists in tick’s schema and its type is the same as the type of value. In some cases you may want to disable this behaviour, for example, when tick sequence is updated dynamically in different branches of per-tick script. In this case onetick-py can’t deduce if field_name exists in schema or has the same type.

Examples

>>> def another_query():
...     return otp.Ticks(A=[1, 2, 3], X=[1, 2, 3])
>>> def fun(tick):
...     for t in tick.state_vars['LIST']:
...         t.set_long_value('X', 1)
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> data = data.state_vars['LIST'].dump()
>>> otp.run(data)
                     Time  A  X
0 2003-12-01 00:00:00.000  1  1
1 2003-12-01 00:00:00.001  2  1
2 2003-12-01 00:00:00.002  3  1

set_string_value(field_name, value, check_schema=True)

Set value of the string field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• value (str, otp.Operation) – String value to set or operation which return such value.

• check_schema (bool) – Check that field_name exists in tick’s schema and its type is the same as the type of value. In some cases you may want to disable this behaviour, for example, when tick sequence is updated dynamically in different branches of per-tick script. In this case onetick-py can’t deduce if field_name exists in schema or has the same type.

Examples

>>> def another_query():
...     return otp.Ticks(A=[1, 2, 3], X=['a', 'b', 'c'])
>>> def fun(tick):
...     for t in tick.state_vars['LIST']:
...         t.set_string_value('X', 'a')
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> data = data.state_vars['LIST'].dump()
>>> otp.run(data)
                     Time  A  X
0 2003-12-01 00:00:00.000  1  a
1 2003-12-01 00:00:00.001  2  a
2 2003-12-01 00:00:00.002  3  a

set_value(field_name, value)

Set value of the field_name of the tick.

Parameters

• field_name (str, otp.Operation) – String field name or operation which returns field name.

• value (int, otp.Operation) – Datetime value to set or operation which return such value.

Examples

>>> def another_query():
...     return otp.Ticks(A=[1, 2, 3], X=[1.1, 2.2, 3.3])
>>> def fun(tick):
...     for t in tick.state_vars['LIST']:
...         t.set_value('X', 0.0)
>>> data = otp.Tick(A=1)
>>> data.state_vars['LIST'] = otp.state.tick_list(otp.eval(another_query))
>>> data = data.script(fun)

>>> data = data.state_vars['LIST'].dump()
>>> otp.run(data)
                     Time  A    X
0 2003-12-01 00:00:00.000  1  0.0
1 2003-12-01 00:00:00.001  2  0.0
2 2003-12-01 00:00:00.002  3  0.0