otp.Source.intercept_data_quality#

Source.intercept_data_quality(inplace=False)#

This method removes data quality messages, thus preventing them from delivery to the client application.

Parameters

inplace (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) –

Return type

Source or None

Examples

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

>>> data = otp.Ticks({'A': [1, 2, 3]})
>>> data = data.insert_data_quality_event('OK')
>>> data = data.show_data_quality()
>>> otp.run(data)
                     Time  DATA_QUALITY_TYPE DATA_QUALITY_NAME
0 2003-12-01 00:00:00.000                  0                OK
1 2003-12-01 00:00:00.001                  0                OK
2 2003-12-01 00:00:00.002                  0                OK

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

>>> data = otp.Ticks({'A': [1, 2, 3]})
>>> data = data.insert_data_quality_event('OK')
>>> data = data.intercept_data_quality()
>>> data = data.show_data_quality()
>>> otp.run(data)  
Empty DataFrame
...