diff --git a/docs/funcs/flagTools.rst b/docs/funcs/flagTools.rst
index 91c1ff7ce383be0229d992d48980a5a1c82c7403..19e08a8ed836214327c526ada9d357c654287bad 100644
--- a/docs/funcs/flagTools.rst
+++ b/docs/funcs/flagTools.rst
@@ -15,3 +15,5 @@ Flagtools
~SaQC.flagManual
~SaQC.flagDummy
~SaQC.transferFlags
+ ~SaQC.andGroup
+ ~SaQC.orGroup
diff --git a/docs/funcs/genericWrapper.rst b/docs/funcs/genericWrapper.rst
index 4c87c212d10d9a74859f6755220960555c68a3fb..6705ac0fb16137be5258af49c07caacfea94f4d7 100644
--- a/docs/funcs/genericWrapper.rst
+++ b/docs/funcs/genericWrapper.rst
@@ -13,6 +13,6 @@ Generic Functions
~SaQC.processGeneric
~SaQC.flagGeneric
- ~SaQC.rolling
- ~SaQC.transform
- ~SaQC.resample
+ ~SaQC.andGroup
+ ~SaQC.orGroup
+
diff --git a/docs/funcs/tools.rst b/docs/funcs/tools.rst
index 261bcca0f4cdd99b6ec61f8203ddb047d036fdd4..38da126003b135868cb9f564a4b5498cbc570d82 100644
--- a/docs/funcs/tools.rst
+++ b/docs/funcs/tools.rst
@@ -15,3 +15,4 @@ Tools
~SaQC.renameField
~SaQC.selectTime
~SaQC.plot
+
diff --git a/saqc/funcs/flagtools.py b/saqc/funcs/flagtools.py
index 2e2298ee3051a7f061645ad35d670979616fb141..d7ea5015a993c589355ae2c520a69ba4af2943fb 100644
--- a/saqc/funcs/flagtools.py
+++ b/saqc/funcs/flagtools.py
@@ -631,7 +631,12 @@ class FlagtoolsMixin:
**kwargs,
) -> "SaQC":
"""
- Flag all values, if all the given ``field`` values are already flagged.
+ Logical AND operation for Flags.
+
+ Flag the variable(s) `field` at every period, at wich `field` in all of the saqc objects in
+ `group` is flagged.
+
+ See Examples section for examples.
Parameters
----------
@@ -639,6 +644,64 @@ class FlagtoolsMixin:
A collection of ``SaQC`` objects. Flag checks are performed on all ``SaQC`` objects
based on the variables specified in ``field``. Whenever all monitored variables
are flagged, the associated timestamps will receive a flag.
+
+ Examples
+ --------
+ Flag data, if the values are above a certain threshold (determined by :py:meth:`~saqc.SaQC.flagRange`) AND if the values are
+ constant for 3 periods (determined by :py:meth:`~saqc.SaQC.flagConstants`)
+
+ .. doctest:: andGroupExample
+
+ >>> dat = pd.Series([1,0,0,0,1,2,3,4,5,5,5,4], name='data', index=pd.date_range('2000', freq='10min', periods=12))
+ >>> qc = saqc.SaQC(dat)
+ >>> qc = qc.andGroup('data', group=[qc.flagRange('data', max=4), qc.flagConstants('data', thresh=0, window=3)])
+ >>> qc.flags['data']
+ 2000-01-01 00:00:00 -inf
+ 2000-01-01 00:10:00 -inf
+ 2000-01-01 00:20:00 -inf
+ 2000-01-01 00:30:00 -inf
+ 2000-01-01 00:40:00 -inf
+ 2000-01-01 00:50:00 -inf
+ 2000-01-01 01:00:00 -inf
+ 2000-01-01 01:10:00 -inf
+ 2000-01-01 01:20:00 255.0
+ 2000-01-01 01:30:00 255.0
+ 2000-01-01 01:40:00 255.0
+ 2000-01-01 01:50:00 -inf
+ Freq: 10min, dtype: float64
+
+ Masking data, so that a test result only gets assigned during daytime (between 6 and 18 o clock for example).
+ The daytime condition is generated via :py:meth:`~saqc.SaQC.flagGeneric`:
+
+ .. doctest:: andGroupExample
+
+ >>> from saqc.lib.tools import periodicMask
+ >>> mask_func = lambda x: ~periodicMask(x.index, '06:00:00', '18:00:00', True)
+ >>> dat = pd.Series(range(100), name='data', index=pd.date_range('2000', freq='4h', periods=100))
+ >>> qc = saqc.SaQC(dat)
+ >>> qc = qc.andGroup('data', group=[qc.flagRange('data', max=5), qc.flagGeneric('data', func=mask_func)])
+ >>> qc.flags['data'].head(20)
+ 2000-01-01 00:00:00 -inf
+ 2000-01-01 04:00:00 -inf
+ 2000-01-01 08:00:00 -inf
+ 2000-01-01 12:00:00 -inf
+ 2000-01-01 16:00:00 -inf
+ 2000-01-01 20:00:00 -inf
+ 2000-01-02 00:00:00 -inf
+ 2000-01-02 04:00:00 -inf
+ 2000-01-02 08:00:00 255.0
+ 2000-01-02 12:00:00 255.0
+ 2000-01-02 16:00:00 255.0
+ 2000-01-02 20:00:00 -inf
+ 2000-01-03 00:00:00 -inf
+ 2000-01-03 04:00:00 -inf
+ 2000-01-03 08:00:00 255.0
+ 2000-01-03 12:00:00 255.0
+ 2000-01-03 16:00:00 255.0
+ 2000-01-03 20:00:00 -inf
+ 2000-01-04 00:00:00 -inf
+ 2000-01-04 04:00:00 -inf
+ Freq: 4h, dtype: float64
"""
return _groupOperation(
saqc=self,
@@ -666,7 +729,12 @@ class FlagtoolsMixin:
**kwargs,
) -> "SaQC":
"""
- Flag all values, if at least one of the given ``field`` values is already flagged.
+ Logical OR operation for Flags.
+
+ Flag the variable(s) `field` at every period, at wich `field` is flagged in at least one of the saqc objects
+ in `group`.
+
+ See Examples section for examples.
Parameters
----------
@@ -674,6 +742,32 @@ class FlagtoolsMixin:
A collection of ``SaQC`` objects. Flag checks are performed on all ``SaQC`` objects
based on the variables specified in :py:attr:`field`. Whenever any of monitored variables
is flagged, the associated timestamps will receive a flag.
+
+ Examples
+ --------
+ Flag data, if the values are above a certain threshold (determined by :py:meth:`~saqc.SaQC.flagRange`) OR if the values are
+ constant for 3 periods (determined by :py:meth:`~saqc.SaQC.flagConstants`)
+
+ .. doctest:: orGroupExample
+
+ >>> dat = pd.Series([1,0,0,0,0,2,3,4,5,5,7,8], name='data', index=pd.date_range('2000', freq='10min', periods=12))
+ >>> qc = saqc.SaQC(dat)
+ >>> qc = qc.orGroup('data', group=[qc.flagRange('data', max=5), qc.flagConstants('data', thresh=0, window=3)])
+ >>> qc.flags['data']
+ 2000-01-01 00:00:00 -inf
+ 2000-01-01 00:10:00 255.0
+ 2000-01-01 00:20:00 255.0
+ 2000-01-01 00:30:00 255.0
+ 2000-01-01 00:40:00 255.0
+ 2000-01-01 00:50:00 -inf
+ 2000-01-01 01:00:00 -inf
+ 2000-01-01 01:10:00 -inf
+ 2000-01-01 01:20:00 -inf
+ 2000-01-01 01:30:00 -inf
+ 2000-01-01 01:40:00 255.0
+ 2000-01-01 01:50:00 255.0
+ Freq: 10min, dtype: float64
+
"""
return _groupOperation(
saqc=self,