Bump Python version for actions

Select from df_misfit_calc using pandas loc to make pylint happy. Commitin
oddvarlia · Nov 8, 2023 · d49714d · d49714d
1 parent f7ed3be
commit d49714d
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Showing 3 changed files with 4 additions and 3 deletions.
diff --git a/.github/workflows/style.yml b/.github/workflows/style.yml
@@ -11,7 +11,7 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v4
         with:
-          python-version: 3.8
+          python-version: "3.10"
       - name: Install tox
         run: pip install tox
       - name: Run style

diff --git a/.github/workflows/testing.yml b/.github/workflows/testing.yml
@@ -14,7 +14,7 @@ jobs:
         python-version: ["3.8", "3.9", "3.10"]
         os: [ubuntu-latest]
         include:
-          - python-version: 3.8
+          - python-version: "3.10"
             os: macos-latest
 
     steps:

diff --git a/semeio/workflows/ahm_analysis/ahmanalysis.py b/semeio/workflows/ahm_analysis/ahmanalysis.py
@@ -409,7 +409,8 @@ def calc_observationsgroup_misfit(obs_keys, df_update_log, misfit_df):
         ]["obs_key"].astype(str)
         df_misfit_calc = pd.DataFrame.drop_duplicates(df_misfit_calc)
         mean = (
-            misfit_df[df_misfit_calc["Misfit_key"].to_list()].sum(axis=1) / total_obs_nr
+            misfit_df[df_misfit_calc.loc[:, "Misfit_key"].to_list()].sum(axis=1)
+            / total_obs_nr
         )
     return mean.mean()