# Constant Detection A collection of quality check routines to find constant values and plateaus. ## Index - [constant](#constant) - [constants_varianceBased](#constants_variancebased) ## constant ``` constant(window, thresh=0) ``` | parameter | data type | default value | description | |-----------|-----------------------------------------------------------------------|---------------|------------------------------------------------------------------------------------------------------| | window | integer/[offset string](docs/ParameterDescriptions.md#offset-strings) | | Minimum count or a duration values need to identical to become plateau candidates. See condition (1) | | thresh | float | 0 | Maximum difference between values to still consider them constant. See condition (2) | This functions flags plateaus/series of constant values of length `window` if their difference is smaller than `thresh`. A set of consecutive values $`x_n, ..., x_{n+k}`$ of a time series $`x_t`$ is considered to be constant, if: 1. $`k \ge `$ `window` 2. $`|x_n - x_{n+s}| \le `$ `thresh`, $`s \in {1,2, ..., k}`$ ## constants_varianceBased ``` constants_varianceBased(window="12h", thresh=0.0005, max_missing=Inf, max_consec_missing=Inf) ``` | parameter | data type | default value | description | | ------ | ------ | ------ | ---- | | window | [offset string](docs/ParameterDescriptions.md#offset-strings) | | Minimum duration during which values need to identical to become plateau candidates. See condition (1) | | thresh | float | `0.0005` | Maximum variance of a group of values to still consider them constant. See condition (2) | | max_missing | integer | `None` | Maximum number of missing values allowed in `window`, by default this condition is ignored | | max_consec_missing | integer | `None` | Maximum number of consecutive missing values allowed in `window`, by default this condition is ignored | This function flags plateaus/series of constant values. Any set of consecutive values $`x_n,..., x_{n+k}`$ of a timeseries $`x_t`$ is flagged, if: 1. $`k \ge `$`window` 2. $`\sigma(x_n,..., x_{n+k}) \le`$ `thresh` NOTE: - Only works for time series - The time series is expected to be harmonized to an [equidistant frequency grid](docs/funcs/TimeSeriesHarmonization.md) - When `max_missing` or `max_consec_missing` are set, plateaus not fulfilling the respective condition will not be flagged