# otp.Operation.float.cmp

### cmp(other, eps)

Compare two double values between themselves according to `eps` relative difference.

This function returns 0 if column = other, 1 if column > other, and -1 if column < other.
Two numbers are considered to be equal if both of them are NaN or
`abs(column - other) / (abs(column) + abs(other)) < eps`.
In other words, `eps` represents a relative difference (percentage) between the two numbers,
not an absolute difference.

* **Parameters:**
  * **other** ([*Operation*](../root.md#onetick.py.Operation) *or* [*float*](https://docs.python.org/3/library/functions.html#float)) -- column or value to compare with
  * **eps** ([*Operation*](../root.md#onetick.py.Operation) *or* [*float*](https://docs.python.org/3/library/functions.html#float)) -- column or value with relative difference
* **Returns:**
  **result** -- 0 if column == other, 1 if column > other, and -1 if column < other.
* **Return type:**
  [Operation](../root.md#onetick.py.Operation)

### Examples

```pycon
>>> data = otp.Ticks(X=[1, 2.17, 10.31841, 3.141593, 6],
...                  OTHER=[1.01, 2.1, 10.32841, 3.14, 5],
...                  EPS=[0, 1, 0.1, 0.001, 0.001])
>>> data["Y"] = data["X"].float.cmp(data["OTHER"], data["EPS"])
>>> otp.run(data)
                     Time          X     OTHER    EPS    Y
0 2003-12-01 00:00:00.000   1.000000   1.01000  0.000 -1.0
1 2003-12-01 00:00:00.001   2.170000   2.10000  1.000  0.0
2 2003-12-01 00:00:00.002  10.318410  10.32841  0.100  0.0
3 2003-12-01 00:00:00.003   3.141593   3.14000  0.001  0.0
4 2003-12-01 00:00:00.004   6.000000   5.00000  0.001  1.0
```

#### SEE ALSO
[`eq`](eq.md#onetick.py.core.column_operations.accessors.float_accessor.eq)