## Dependencies - numpy - pandas - numba - pyyaml ## Test Syntax ### Specification A test specification contains: - A test name, either on of the pre-defined tests or 'generic' - Optionally a set of parametes. These should be given in json-object or yaml/python-dictionary style (i.e. {key: value}) - test name and parameter object/dictionary need to be seperated by comma #### Test Parameters - flag_period: + if a value is flagged, so is the given time period following the timestamp of that value + Number followed by a frequency specification, e.g. '5min', '6D'. A comprehensive list of the supported frequies can be found in the table 'Offset Aliases' in the [Pandas Docs](http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#dateoffset-objects "Pandas Docs"). The (probably) most common options are also listed below: | frequency string | description | |------------------|-------------| | 'D' | one day | | 'H' | one hour | | 'T' or 'min' | one minute | | 'S' | one second | - flag_values: + Number + if a value is flagged, so are the next n previously unflagged values ### User Defined Tests #### Syntax - standard Python syntax - all variables within the configuration file can be used #### Supported Operators - all arithmetic operators - all comparison operators - bitwise operators: and, or, xor, complement (&, |, ^, ~) #### Supported functions | function name | description | |---------------|------------------------------------------------------------------| | abs | absolute values of a variable | | max | maximum value of a variable | | min | minimum value of a variable | | mean | mean value of a variable | | sum | sum of a variable | | std | standard deviation of a variable | | len | the number of values of variable | | ismissing | check for missing values (nan and a possibly user defined value) |