図に統計情報表示

analyze_lab_placement_survey.py

@@ -443,7 +443,6 @@ def plot_data(data, lower=10, upper=None, target_lab=10, bin_width=10):
     import matplotlib.pyplot as plt
 
     df = data.copy()
-
     df = filter_plot_data(df, lower=lower, upper=upper)
     labs = sorted(df["研究室番号"].unique())
     target_values = df.loc[df["研究室番号"] ==
@@ -465,6 +464,23 @@ def plot_data(data, lower=10, upper=None, target_lab=10, bin_width=10):
     draw_gp_histogram(axs[1], df, target_values,
                       bin_width, colors[0], colors[3])
 
+    describe_text = df["値"].describe()
+    describe_text = describe_text.to_string(float_format=lambda x: f"{x:.1f}")
+    # 下段ヒストグラムの右上に describe() を表示
+    axs[1].text(
+        0.01, 0.99,                 # Axes 内の右上
+        describe_text,
+        transform=axs[1].transAxes,
+        ha="left", va="top", fontsize=8,
+        fontfamily="monospace",     # 桁を揃える
+        bbox={
+            "facecolor": "white",
+            "edgecolor": "gray",
+            "alpha": 0.85,
+            "boxstyle": "round,pad=0.2",
+        },
+        zorder=1,
+    )
     for ax in axs:
         style_axis(ax)