Resolve pandas future warnings (FlexMeasures#573)

* Pandas==1.5 requires explicitly set group_keys argument in groupby method Signed-off-by: F.N. Claessen <felix@seita.nl> * Upgrade timely-beliefs to resolve more Pandas FutureWarnings Signed-off-by: F.N. Claessen <felix@seita.nl> Signed-off-by: F.N. Claessen <felix@seita.nl>
victorgarcia98 · Jan 3, 2023 · 2c25bc8 · 2c25bc8
1 parent ad56d9b
commit 2c25bc8
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diff --git a/flexmeasures/data/services/time_series.py b/flexmeasures/data/services/time_series.py
@@ -347,7 +347,7 @@ def drop_unchanged_beliefs(bdf: tb.BeliefsDataFrame) -> tb.BeliefsDataFrame:
     # Remove unchanged beliefs with respect to what is already stored in the database
     return (
         bdf.convert_index_from_belief_horizon_to_time()
-        .groupby(level=["belief_time", "source"], as_index=False)
+        .groupby(level=["belief_time", "source"], group_keys=False, as_index=False)
         .apply(_drop_unchanged_beliefs_compared_to_db)
     )
 

diff --git a/requirements/app.in b/requirements/app.in
@@ -29,7 +29,7 @@ tldextract
 pyomo>=5.6
 tabulate
 timetomodel>=0.7.1
-timely-beliefs[forecast]>=1.16
+timely-beliefs[forecast]>=1.18
 python-dotenv
 # a backport, not needed in Python3.8
 importlib_metadata

diff --git a/requirements/app.txt b/requirements/app.txt
@@ -317,7 +317,7 @@ tabulate==0.8.10
     # via -r requirements/app.in
 threadpoolctl==3.1.0
     # via scikit-learn
-timely-beliefs[forecast]==1.16.0
+timely-beliefs[forecast]==1.18.0
     # via -r requirements/app.in
 timetomodel==0.7.1
     # via -r requirements/app.in