Merge branch 'main' into nested_decision_exe

qlib/contrib/report/analysis_model/analysis_model_performance.py

@@ -3,7 +3,6 @@
 
 import pandas as pd
 
-import plotly.tools as tls
 import plotly.graph_objs as go
 
 import statsmodels.api as sm
@@ -80,9 +79,35 @@ def _plot_qq(data: pd.Series = None, dist=stats.norm) -> go.Figure:
     :param dist:
     :return:
     """
-    fig, ax = plt.subplots(figsize=(8, 5))
-    _mpl_fig = sm.qqplot(data.dropna(), dist, fit=True, line="45", ax=ax)
-    return tls.mpl_to_plotly(_mpl_fig)
+    # NOTE: plotly.tools.mpl_to_plotly not actively maintained, resulting in errors in the new version of matplotlib,
+    # ref: https://github.com/plotly/plotly.py/issues/2913#issuecomment-730071567
+    # removing plotly.tools.mpl_to_plotly for greater compatibility with matplotlib versions
+    _plt_fig = sm.qqplot(data.dropna(), dist=dist, fit=True, line="45")
+    plt.close(_plt_fig)
+    qqplot_data = _plt_fig.gca().lines
+    fig = go.Figure()
+
+    fig.add_trace(
+        {
+            "type": "scatter",
+            "x": qqplot_data[0].get_xdata(),
+            "y": qqplot_data[0].get_ydata(),
+            "mode": "markers",
+            "marker": {"color": "#19d3f3"},
+        }
+    )
+
+    fig.add_trace(
+        {
+            "type": "scatter",
+            "x": qqplot_data[1].get_xdata(),
+            "y": qqplot_data[1].get_ydata(),
+            "mode": "lines",
+            "line": {"color": "#636efa"},
+        }
+    )
+    del qqplot_data
+    return fig
 
 
 def _pred_ic(pred_label: pd.DataFrame = None, rank: bool = False, **kwargs) -> tuple: