clean format with Black

mroberge · Jun 14, 2023 · 1c7c60a · 1c7c60a
1 parent f24ff41
commit 1c7c60a
Showing 1 changed file with 12 additions and 5 deletions.
diff --git a/src/hydrofunctions/station.py b/src/hydrofunctions/station.py
@@ -120,7 +120,6 @@ def __init__(
         file=None,
         verbose=True,
     ):
-
         self.ok = False
         if file:
             if len(file.split(".")) == 1:
@@ -150,7 +149,9 @@ def __init__(
             )
             try:
                 self.json = self.response.json()
-                self._dataframe, self.meta = hf.extract_nwis_df(self.json, interpolate=interpolate)
+                self._dataframe, self.meta = hf.extract_nwis_df(
+                    self.json, interpolate=interpolate
+                )
                 self.ok = self.response.ok
                 if file is not None:
                     self.save(file)
@@ -241,23 +242,29 @@ def df(self, *args):
                     meta = all_cols
                     break  # If one param is 'all', ignore the other params and deliver everything.
                 elif item == "discharge":
-                    if not np.any(['00060' in x for x in list(self._dataframe.columns)]):
+                    if not np.any(
+                        ["00060" in x for x in list(self._dataframe.columns)]
+                    ):
                         raise ValueError(
                             "The parameter '{param}' is not contained in this dataset.".format(
                                 param=item
                             )
                         )
                     params = Q_cols | params
                 elif item == "q":
-                    if not np.any(['00060' in x for x in list(self._dataframe.columns)]):
+                    if not np.any(
+                        ["00060" in x for x in list(self._dataframe.columns)]
+                    ):
                         raise ValueError(
                             "The parameter '{param}' is not contained in this dataset.".format(
                                 param=item
                             )
                         )
                     params = Q_cols | params
                 elif item == "stage":
-                    if not np.any(['00065' in x for x in list(self._dataframe.columns)]):
+                    if not np.any(
+                        ["00065" in x for x in list(self._dataframe.columns)]
+                    ):
                         raise ValueError(
                             "The parameter '{param}' is not contained in this dataset.".format(
                                 param=item