otp.Operation.isin#

Operation.isin(*items)#

Check if column’s value is in items.

Parameters: items – Possible string or numeric values to be checked against column’s value. Such values can be passed as the function arguments or as the list of such values in the first function argument.
Returns: Returns an onetick.py.Operation object with the value of 1.0 if the column’s value was found among items or 0.0 otherwise.
Return type: Operation

Examples

Passing values as function arguments:

>>> data = otp.Ticks(A=['a', 'b', 'c'])
>>> data['B'] = data['A'].isin('a', 'c')
>>> otp.run(data)
                     Time  A    B
0 2003-12-01 00:00:00.000  a  1.0
1 2003-12-01 00:00:00.001  b  0.0
2 2003-12-01 00:00:00.002  c  1.0

Passing values as a list:

>>> data = otp.Ticks(A=['a', 'b', 'c'])
>>> data['B'] = data['A'].isin(['a', 'c'])
>>> otp.run(data)
                     Time  A    B
0 2003-12-01 00:00:00.000  a  1.0
1 2003-12-01 00:00:00.001  b  0.0
2 2003-12-01 00:00:00.002  c  1.0

This function’s result can be used as filter expression:

>>> data = otp.Ticks(A=[1, 2, 3, 0])
>>> yes, no = data[data["A"].isin(0, 1)]
>>> otp.run(yes)[["A"]]
   A
0  1
1  0

Columns and operations are also supported:

>>> data = otp.Ticks(A=["ab", "cv", "bc", "a", "d"], B=["a", "c", "b", "a", "a"])
>>> yes, no = data[data["A"].isin(data["B"], data["B"] + "b")]
>>> otp.run(yes)[["A", "B"]]
    A  B
0  ab  a
1   a  a