pvanalytics.quality.outliers.tukey#
- pvanalytics.quality.outliers.tukey(data, k=1.5)#
Identify outliers based on the interquartile range.
A value x is considered an outlier if it does not satisfy the following condition
\[Q_1 - k(Q_3 - Q_1) \le x \le Q_3 + k(Q_3 - Q_1)\]where \(Q_1\) is the value of the first quartile and \(Q_3\) is the value of the third quartile.
- Parameters
data (Series) – The data in which to find outliers.
k (float, default 1.5) – Multiplier of the interquartile range. A larger value will be more permissive of values that are far from the median.
- Returns
A series of booleans with True for each value that is an outlier.
- Return type
Series
