fix: log path

joj3_config_generator/models/const.py

@@ -12,6 +12,6 @@ DEFAULT_PROC_LIMIT = 50
 JOJ3_CONFIG_ROOT = Path("/home/tt/.config/joj")
 TEAPOT_CONFIG_ROOT = Path("/home/tt/.config/teapot")
 CACHE_ROOT = Path("/home/tt/.cache")
-JOJ3_LOG_PATH = CACHE_ROOT / "joj3.log"
+JOJ3_LOG_PATH = CACHE_ROOT / "joj3/joj3.log"
 TEAPOT_LOG_PATH = CACHE_ROOT / "joint-teapot-debug.log"
 ACTOR_CSV_PATH = JOJ3_CONFIG_ROOT / "students.csv"

plot.py

@@ -0,0 +1,50 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+from sklearn.datasets import load_iris
+
+# 加载Iris数据集并计算平均值
+iris = load_iris()
+df = pd.DataFrame(iris.data, columns=iris.feature_names)
+df['Species'] = [iris.target_names[t] for t in iris.target]
+df_mean = df.groupby('Species').mean().reset_index()
+
+# 数据整理为长格式
+df_melt = df_mean.melt(id_vars='Species', var_name='Measurement', value_name='Average')
+
+# 设置可视化参数
+measurements = ['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']
+species = df_mean['Species'].tolist()
+colors = ['#4e79a7', '#f28e2b', '#e15759']  # 专业色盲友好配色
+bar_width = 0.25
+
+# 创建画布
+plt.figure(figsize=(14, 8), dpi=100)
+x = range(len(measurements))
+
+# 绘制分组柱状图
+for i, specie in enumerate(species):
+    offsets = [val + bar_width*i for val in x]
+    values = df_melt[df_melt['Species'] == specie]['Average']
+    plt.bar(offsets, values, width=bar_width, color=colors[i], label=specie, edgecolor='white', linewidth=0.5)
+
+# 添加数据标签
+for i in range(len(measurements)):
+    for j, specie in enumerate(species):
+        value = df_mean.loc[j, measurements[i]]
+        plt.text(x[i] + bar_width*j, value + 0.05, f'{value:.1f}',
+                 ha='center', va='bottom', fontsize=9)
+
+# 图表装饰
+plt.title('Average Sepal and Petal Dimensions by Iris Species', pad=20, fontsize=14, fontweight='bold')
+plt.xlabel('Measurement', labelpad=15, fontsize=12)
+plt.ylabel('Average Dimension (cm)', labelpad=15, fontsize=12)
+plt.xticks([r + bar_width for r in range(len(measurements))], 
+           [m.replace(' (cm)', '').title() for m in measurements], 
+           rotation=45, ha='right')
+plt.ylim(0, df_melt['Average'].max()*1.3)
+plt.grid(axis='y', linestyle='--', alpha=0.4)
+plt.legend(title='Species', bbox_to_anchor=(1.02, 1), loc='upper left')
+
+# 优化布局
+plt.tight_layout()
+plt.show()