Backend updates

.pre-commit-config.yaml

@@ -50,8 +50,9 @@ repos:
     hooks:
       - id: flake8
         # E501 - line length limit
+        # E502 - backslash in brackets
         # E741 - ambiguous variable name, used sparsely when appropriate
-        args: ["--ignore=E501,E741"]
+        args: ["--ignore=E501,E502,E741"]
         exclude: *exclude_files
 
   - repo: https://github.com/pre-commit/mirrors-mypy

aurora/results/plot/presenters/capacity_cycle.py

@@ -70,7 +70,7 @@ def __init__(
     def extract_data(self, dataset: dict) -> tuple:
         """docstring"""
         y = dataset["Qd"]
-        x = np.arange(len(y))
+        x = dataset["cycle-number"]
         return (x, y)
 
     def plot_series(self, eid: int, dataset: dict) -> None:

aurora/results/plot/presenters/capacity_swarm.py

@@ -138,7 +138,10 @@ def extract_data(self, dataset: dict) -> pd.DataFrame:
             label, _ = self.get_series_properties(eid)
             weight = self.model.get_weight(eid, self.view.electrode.value)
             factor = 1 / weight
-            for cycle, capacity in enumerate(data["Qd"][:num_cycles]):
+            for cycle, capacity in zip(
+                    data["cycle-number"][:num_cycles],
+                    data["Qd"][:num_cycles],
+            ):
                 df_dict["hue"].append(label)
                 df_dict[self.X_LABEL].append(cycle)
                 df_dict[self.Y_LABEL].append(capacity * factor)

aurora/results/plot/presenters/efficiency_cycle.py

@@ -60,7 +60,7 @@ def extract_data(self, dataset: dict) -> tuple:
         min_length = min(len(Qc), len(Qd))
         Qc = Qc[:min_length]
         Qd = Qd[:min_length]
-        x = np.arange(min_length)
+        x = dataset["cycle-number"][:min_length]
         y = Qd / Qc
         return (x, y)