otp.Source.if_else#

Source.if_else(condition, if_expr, else_expr)#

Shortcut for apply() with lambda if-else expression

Parameters

condition (Operation) –
- condition for matching ticks
if_expr (Operation, value) –
- value or Operation to set if condition is true
else_expr (Operation, value) –
- value or Operation to set if condition is false

Return type

Examples

Basic example of apply if-else to a tick flow:

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

You can also set column value via Operation:

>>> data = otp.Ticks(X=[1, 2, 3])
>>> data['Y'] = data.if_else(data['X'] > 2, data['X'] * 2, 0)
>>> otp.run(data)
                     Time  X  Y
0 2003-12-01 00:00:00.000  1  0
1 2003-12-01 00:00:00.001  2  0
2 2003-12-01 00:00:00.002  3  6