# 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.

If both values are NaN, the result is 0.
If only one value is NaN, NaN is treated as less than any non-NaN value.

Two numbers are considered to be equal if:

* `abs(column - other) <= 1e-12` (absolute tolerance; useful near zero)
* or `abs(column - other) / max(1, max(abs(column), abs(other))) <= eps` (relative tolerance).

`eps` is a relative epsilon (scale-dependent), 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=[2.17, 2.17, 10.31841, 3.141593, 5],
...                  OTHER=[2.1, 2.1, 10.32841, 3.14, 6],
...                  EPS=[0.01, 0.1, 0.1, 0.0001, 0.01])
>>> 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   2.170000   2.10000  0.0100  1.0
1 2003-12-01 00:00:00.001   2.170000   2.10000  0.1000  0.0
2 2003-12-01 00:00:00.002  10.318410  10.32841  0.1000  0.0
3 2003-12-01 00:00:00.003   3.141593   3.14000  0.0001  1.0
4 2003-12-01 00:00:00.004   5.000000   6.00000  0.0100 -1.0
```

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