# otp.Source.intercept_symbol_errors

#### Source.intercept_symbol_errors(inplace=False)

This method removes removes per-symbol errors, thus preventing them from delivery to the client application.

* **Parameters:**
  * **inplace** ([*bool*](https://docs.python.org/3/library/functions.html#bool)) -- The flag controls whether operation should be applied inplace or not.
    If `inplace=True`, then it returns nothing.
    Otherwise, method returns a new modified object.
  * **self** ([*Source*](root.md#onetick.py.Source))
* **Return type:**
  [`Source`](root.md#onetick.py.Source) or `None`

### Examples

By default data quality events are not showed, use this method to see them:

```pycon
>>> data = otp.Ticks({'A': [1, 2, 3]})
>>> data = data.throw('WRONG', scope='symbol')
>>> data = data.show_symbol_errors()
>>> otp.run(data)
        Time  ERROR_CODE ERROR_MESSAGE
0 2003-12-01           1         WRONG
1 2003-12-01           1         WRONG
2 2003-12-01           1         WRONG
```

Intercepting data quality events will remove them from the data flow:

```pycon
>>> data = otp.Ticks({'A': [1, 2, 3]})
>>> data = data.throw('WRONG', scope='symbol')
>>> data = data.intercept_symbol_errors()
>>> data = data.show_symbol_errors()
>>> otp.run(data)  
Empty DataFrame
...
```

#### SEE ALSO
**INTERCEPT_SYMBOL_ERRORS** OneTick event processor
<br/>
[`show_symbol_errors()`](show_symbol_errors.md#onetick.py.Source.show_symbol_errors)
<br/>
[`onetick.py.Source.throw()`](throw.md#onetick.py.Source.throw)
<br/>