dash first implementation

qcdash/app.py

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+from pathlib import Path
+
+import numpy as np
+import pandas as pd
+import plotly.graph_objects as go
+from dash import Dash, dash_table, dcc, html
+
+from quacc.evaluation.report import DatasetReport
+
+
+def get_fig(data: pd.DataFrame):
+    fig = go.Figure()
+    xs = data.index.to_numpy()
+    for col in data.columns.unique(0):
+        _line = go.Scatter(x=xs, y=data.loc[:, col], mode="lines+markers", name=col)
+        fig.add_trace(_line)
+
+    fig.update_layout(xaxis_title="test_prevalence", yaxis_title="acc. error")
+
+    return fig
+
+
+def app_instance():
+    dr: DatasetReport = DatasetReport.unpickle(Path("output/debug/imdb/imdb.pickle"))
+    data = dr.data(metric="acc").groupby(level=1).mean()
+
+    app = Dash(__name__)
+
+    app.layout = html.Div(
+        [
+            # html.Div(children="Hello World"),
+            # dash_table.DataTable(data=df.to_dict("records")),
+            dcc.Graph(figure=get_fig(data), style={"height": "95vh"}),
+        ]
+    )
+    return app
+
+
+def run():
+    app = app_instance()
+    app.run(debug=True)
+
+
+if __name__ == "__main__":
+    run()