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+++ /dev/null
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-SPDX-FileCopyrightText: 2021 Helmholtz-Zentrum für Umweltforschung GmbH - UFZ
-
-SPDX-License-Identifier: GPL-3.0-or-later
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-SPDX-FileCopyrightText: 2021 Helmholtz-Zentrum für Umweltforschung GmbH - UFZ
-
-SPDX-License-Identifier: GPL-3.0-or-later
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diff --git a/saqc/funcs/interpolation.py b/saqc/funcs/interpolation.py
index 8aae82a04882c6c766f7b576ae93dfedfc41a1d3..9def348d0594a7528536675ff33a3e18aa5e459f 100644
--- a/saqc/funcs/interpolation.py
+++ b/saqc/funcs/interpolation.py
@@ -185,6 +185,80 @@ class InterpolationMixin:
Returns
-------
saqc.SaQC
+
+ Examples
+ --------
+ See some examples of the keyword interplay below:
+
+ Lets generate some dummy data:
+
+ .. doctest:: interpolateInvalid
+
+ >>> data = pd.DataFrame({'data':np.array([np.nan, 0, np.nan, np.nan, np.nan, 4, 5, np.nan, np.nan, 8, 9, np.nan, np.nan])}, index=pd.date_range('2000',freq='1H', periods=13))
+ >>> data
+ data
+ 2000-01-01 00:00:00 NaN
+ 2000-01-01 01:00:00 0.0
+ 2000-01-01 02:00:00 NaN
+ 2000-01-01 03:00:00 NaN
+ 2000-01-01 04:00:00 NaN
+ 2000-01-01 05:00:00 4.0
+ 2000-01-01 06:00:00 5.0
+ 2000-01-01 07:00:00 NaN
+ 2000-01-01 08:00:00 NaN
+ 2000-01-01 09:00:00 8.0
+ 2000-01-01 10:00:00 9.0
+ 2000-01-01 11:00:00 NaN
+ 2000-01-01 12:00:00 NaN
+
+ Use :py:meth:`~saqc.SaQC.interpolateInvalid` to do linear interpolation of up to 2 consecutive missing values:
+
+ .. doctest:: interpolateInvalid
+
+ >>> qc = saqc.SaQC(data)
+ >>> qc = qc.interpolateInvalid("data", limit=3, method='time')
+ >>> qc.data # doctest:+NORMALIZE_WHITESPACE
+ data |
+ ======================== |
+ 2000-01-01 00:00:00 NaN |
+ 2000-01-01 01:00:00 0.0 |
+ 2000-01-01 02:00:00 NaN |
+ 2000-01-01 03:00:00 NaN |
+ 2000-01-01 04:00:00 NaN |
+ 2000-01-01 05:00:00 4.0 |
+ 2000-01-01 06:00:00 5.0 |
+ 2000-01-01 07:00:00 6.0 |
+ 2000-01-01 08:00:00 7.0 |
+ 2000-01-01 09:00:00 8.0 |
+ 2000-01-01 10:00:00 9.0 |
+ 2000-01-01 11:00:00 NaN |
+ 2000-01-01 12:00:00 NaN |
+ <BLANKLINE>
+
+
+ Use :py:meth:`~saqc.SaQC.interpolateInvalid` to do linear extrapolaiton of up to 1 consecutive missing values:
+
+ .. doctest:: interpolateInvalid
+
+ >>> qc = saqc.SaQC(data)
+ >>> qc = qc.interpolateInvalid("data", limit=2, method='time', extrapolate='both')
+ >>> qc.data # doctest:+NORMALIZE_WHITESPACE
+ data |
+ ======================== |
+ 2000-01-01 00:00:00 0.0 |
+ 2000-01-01 01:00:00 0.0 |
+ 2000-01-01 02:00:00 NaN |
+ 2000-01-01 03:00:00 NaN |
+ 2000-01-01 04:00:00 NaN |
+ 2000-01-01 05:00:00 4.0 |
+ 2000-01-01 06:00:00 5.0 |
+ 2000-01-01 07:00:00 NaN |
+ 2000-01-01 08:00:00 NaN |
+ 2000-01-01 09:00:00 8.0 |
+ 2000-01-01 10:00:00 9.0 |
+ 2000-01-01 11:00:00 NaN |
+ 2000-01-01 12:00:00 NaN |
+ <BLANKLINE>
"""
inter_data = interpolateNANs(
self._data[field],