Update and run pre-commit hooks

.pre-commit-config.yaml

@@ -2,13 +2,12 @@ exclude: '^docs/conf.py'
 
 repos:
 - repo: https://github.com/psf/black
-  rev: 23.1.0
+  rev: 24.8.0
   hooks:
     - id: black
-      language_version: python3.9
 
 - repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.4.0
+  rev: v4.6.0
   hooks:
   - id: trailing-whitespace
   - id: check-added-large-files
@@ -24,7 +23,7 @@ repos:
     args: ['--fix=no']
 
 - repo: https://github.com/pycqa/flake8
-  rev: 6.0.0
+  rev: 7.1.1
   hooks:
   - id: flake8
     args: ['--max-line-length=88']  # default of Black

setup.py

@@ -6,6 +6,7 @@
     PyScaffold helps you to put up the scaffold of your new Python project.
     Learn more under: https://pyscaffold.org/
 """
+
 from setuptools import setup
 
 if __name__ == "__main__":

src/pywaterinfo/waterinfo.py

@@ -633,7 +633,8 @@ def get_timeseries_values(
             if "Timestamp" in df.columns:
                 # round trip via UTC to handle mixed time series
                 df["Timestamp"] = pd.to_datetime(
-                    df["Timestamp"], utc=True).dt.tz_convert(timezone)
+                    df["Timestamp"], utc=True
+                ).dt.tz_convert(timezone)
             time_series.append(df)
 
         return pd.concat(time_series)

tests/test_waterinfo.py

@@ -362,12 +362,13 @@ def test_timezone_mixed_timezone(self, connection, request):
         See also https://github.com/fluves/pywaterinfo/issues/67
         """
         connection = request.getfixturevalue(connection)
-        df = connection.get_timeseries_values('69928042',
-                                              start='2013-03-21 00:00:00',
-                                              end='2013-04-01 23:00:00',
-                                              timezone='CET',
-                                              returnfields="Timestamp,Value"
-                                              )
+        df = connection.get_timeseries_values(
+            "69928042",
+            start="2013-03-21 00:00:00",
+            end="2013-04-01 23:00:00",
+            timezone="CET",
+            returnfields="Timestamp,Value",
+        )
         assert isinstance(df["Timestamp"].dtype, pd.DatetimeTZDtype)
         assert df["Timestamp"].dt.tz == pytz.timezone("CET")