# otp.math.truncate ### truncate(number, precision=0) Returns the `number` truncated to `precision` places right of the decimal point. If `precision` is negative, the number is truncated to the left of the decimal point. * **Parameters:** * **number** (float, [`decimal`](https://docs.pip.distribution.sol.onetick.com/api/types/decimal.html.md#onetick.py.decimal), [`Operation`](https://docs.pip.distribution.sol.onetick.com/api/operation/root.html.md#onetick.py.Operation), [`Column`](https://docs.pip.distribution.sol.onetick.com/api/operation/root.html.md#onetick.py.Column)) * **precision** (int, [`Operation`](https://docs.pip.distribution.sol.onetick.com/api/operation/root.html.md#onetick.py.Operation), [`Column`](https://docs.pip.distribution.sol.onetick.com/api/operation/root.html.md#onetick.py.Column)) * **Return type:** [`Operation`](https://docs.pip.distribution.sol.onetick.com/api/operation/root.html.md#onetick.py.Operation) #### NOTE Truncating [`otp.nan`](https://docs.pip.distribution.sol.onetick.com/api/types/nan.html.md#onetick.py.nan) returns NaN and truncating [`otp.inf`](https://docs.pip.distribution.sol.onetick.com/api/types/inf.html.md#onetick.py.inf) returns Infinity. ### Examples ```pycon >>> data = otp.Ticks(A=[1.0, 1.23456, 123.456, 12345.6, otp.nan, otp.inf, -otp.inf]) >>> data['TRUNCATED'] = otp.math.truncate(data['A']) >>> data['TRUNCATED_P2'] = otp.math.truncate(data['A'], 2) >>> data['TRUNCATED_M2'] = otp.math.truncate(data['A'], -2) >>> otp.run(data) Time A TRUNCATED TRUNCATED_P2 TRUNCATED_M2 0 2003-12-01 00:00:00.000 1.00000 1.0 1.00 0.0 1 2003-12-01 00:00:00.001 1.23456 1.0 1.23 0.0 2 2003-12-01 00:00:00.002 123.45600 123.0 123.45 100.0 3 2003-12-01 00:00:00.003 12345.60000 12345.0 12345.60 12300.0 4 2003-12-01 00:00:00.004 NaN NaN NaN NaN 5 2003-12-01 00:00:00.005 inf inf inf inf 6 2003-12-01 00:00:00.006 -inf -inf -inf -inf ``` #### SEE ALSO **TRUNCATE** OneTick function