Release2.3

docs/cookbooks/MultivariateFlagging.rst

@@ -347,7 +347,7 @@ correlated with relatively high *kNNscores*, we could try to calculate a thresho
 `STRAY <https://arxiv.org/pdf/1908.04000.pdf>`_ algorithm, which is available as the method:
 :py:meth:`~saqc.SaQC.flagByStray`. This method will mark some samples of the `kNNscore` variable as anomaly.
 Subsequently we project this marks (or *flags*) on to the *sac* variable with a call to
-:py:meth:`~saqc.SaQC.transferFlags`. For the sake of demonstration, we also project the flags
+:py:meth:`~saqc.SaQC.concatFlags`. For the sake of demonstration, we also project the flags
 on the normalized *sac* and plot the flagged values in the *sac254_norm* - *level_norm* feature space.
 
 
@@ -355,8 +355,8 @@ on the normalized *sac* and plot the flagged values in the *sac254_norm* - *leve
 .. doctest:: exampleMV
 
    >>> qc = qc.flagByStray(field='kNNscores', freq='30D', alpha=.3)
-   >>> qc = qc.transferFlags(field='kNNscores', target='sac254_corrected', label='STRAY')
-   >>> qc = qc.transferFlags(field='kNNscores', target='sac254_norm', label='STRAY')
+   >>> qc = qc.concatFlags(field='kNNscores', target='sac254_corrected', label='STRAY')
+   >>> qc = qc.concatFlags(field='kNNscores', target='sac254_norm', label='STRAY')
    >>> qc.plot('sac254_corrected', xscope='2016-11') # doctest:+SKIP
    >>> qc.plot('sac254_norm', phaseplot='level_norm', xscope='2016-11') # doctest:+SKIP
 
@@ -365,8 +365,8 @@ on the normalized *sac* and plot the flagged values in the *sac254_norm* - *leve
    :include-source: False
 
    qc = qc.flagByStray(field='kNNscores', freq='30D', alpha=.3)
-   qc = qc.transferFlags(field='kNNscores', target='sac254_corrected', label='STRAY')
-   qc = qc.transferFlags(field='kNNscores', target='sac254_norm', label='STRAY')
+   qc = qc.concatFlags(field='kNNscores', target='sac254_corrected', label='STRAY')
+   qc = qc.concatFlags(field='kNNscores', target='sac254_norm', label='STRAY')
 
 .. plot::
    :context: close-figs