plotly methods fixed, plot saving implemented

quacc/plot/plotly.py

@@ -1,9 +1,11 @@
-import os
+from pathlib import Path
 
 import numpy as np
 import plotly
 import plotly.graph_objects as go
 
+from quacc.utils.commons import get_plots_path
+
 MODE = "lines"
 L_WIDTH = 5
 LEGEND = {
@@ -16,12 +18,14 @@ FONT = {"size": 24}
 TEMPLATE = "ggplot2"
 
 
-def _save_or_return(fig, basedir, dataset_name, measure_name, plot_type):
-    if basedir is not None:
-        plotsubdir = dataset_name
-        os.path.join(basedir, "plots", measure_name, plotsubdir, plot_type + ".svg")
+def _save_or_return(
+    fig: go.Figure, basedir, cls_name, acc_name, dataset_name, plot_type
+) -> go.Figure | None:
+    if basedir is None:
+        return fig
 
-    return fig
+    path = get_plots_path(basedir, cls_name, acc_name, dataset_name, plot_type)
+    fig.write_image(path)
 
 
 def _update_layout(fig, title, x_label, y_label, **kwargs):
@@ -72,9 +76,10 @@ def plot_diagonal(
     method_names,
     true_accs,
     estim_accs,
+    cls_name,
+    acc_name,
+    dataset_name,
     *,
-    measure_name="vanilla_accuracy",
-    dataset_name=None,
     basedir=None,
 ) -> go.Figure:
     fig = go.Figure()
@@ -111,8 +116,8 @@ def plot_diagonal(
 
     _update_layout(
         fig,
-        x_label=f"True {measure_name}",
-        y_label=f"Estimated {measure_name}",
+        x_label=f"True {acc_name}",
+        y_label=f"Estimated {acc_name}",
         autosize=False,
         width=1300,
         height=1000,
@@ -120,18 +125,19 @@ def plot_diagonal(
         yaxis_scaleratio=1.0,
         yaxis_range=[-0.1, 1.1],
     )
-    return _save_or_return(fig, basedir, dataset_name, measure_name, "diagonal")
+    return _save_or_return(fig, basedir, cls_name, acc_name, dataset_name, "diagonal")
 
 
 def plot_delta(
     method_names: list[str],
     prevs: np.ndarray,
     acc_errs: np.ndarray,
+    cls_name,
+    acc_mame,
+    dataset_name,
+    prev_name,
     *,
     stdevs: np.ndarray | None = None,
-    prev_name="Test",
-    measure_name="Vanilla Accuracy",
-    dataset_name=None,
     basedir=None,
 ) -> go.Figure:
     fig = go.Figure()
@@ -170,10 +176,15 @@ def plot_delta(
     _update_layout(
         fig,
         x_label=f"{prev_name} Prevalence",
-        y_label=f"Prediction Error for {measure_name}",
+        y_label=f"Prediction Error for {acc_mame}",
     )
     return _save_or_return(
-        fig, basedir, dataset_name, measure_name, "delta" if stdevs is None else "stdev"
+        fig,
+        basedir,
+        cls_name,
+        acc_mame,
+        dataset_name,
+        "delta" if stdevs is None else "stdev",
     )
 
 
@@ -181,10 +192,11 @@ def plot_shift(
     method_names: list[str],
     prevs: np.ndarray,
     acc_errs: np.ndarray,
+    cls_name,
+    acc_name,
+    dataset_name,
     *,
     counts: np.ndarray | None = None,
-    measure_name="Vanilla Accuracy",
-    dataset_name=None,
     basedir=None,
 ) -> go.Figure:
     fig = go.Figure()
@@ -212,6 +224,6 @@ def plot_shift(
     _update_layout(
         fig,
         x_label="Amount of Prior Probability Shift",
-        y_label=f"Prediction Error for {measure_name}",
+        y_label=f"Prediction Error for {acc_name}",
     )
-    return _save_or_return(fig, basedir, dataset_name, measure_name, "shift")
+    return _save_or_return(fig, basedir, cls_name, acc_name, dataset_name, "shift")