fix(品类再分享分析): 去掉再分享品类非空过滤，支持品类空值显示为未知

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

tasks/品类再分享分析/query.sql

@@ -24,7 +24,6 @@ WHERE   dt >= ${start}
 AND     dt <= ${end}
 AND     usersharedepth = 0
 AND     videoid IS NOT NULL
-AND     再分享merge一级品类 IS NOT NULL
 GROUP BY dt, channel, merge一级品类, merge二级品类, 再分享merge一级品类, 再分享merge二级品类
 ORDER BY dt, channel, 点击uv DESC
 ;

tasks/品类再分享分析/visualize.py

@@ -42,6 +42,12 @@ def get_cat2_label(cat1, cat2):
         return f"{cat1_str}/{cat2}"
     return cat1_str
 
+# 获取品类标签（处理空值）
+def get_cat_label(val):
+    if pd.notna(val) and str(val).strip():
+        return str(val)
+    return '未知'
+
 # 计算渠道×日期×品类级别的矩阵数据
 def calc_matrix_data(channel, date=None, level='cat1'):
     """计算指定渠道和日期的品类矩阵"""
@@ -55,8 +61,8 @@ def calc_matrix_data(channel, date=None, level='cat1'):
     # 根据级别选择品类列
     if level == 'cat1':
         # 填充空值
-        ch_df['头部一级品类'] = ch_df['头部一级品类'].fillna('未知')
-        ch_df['再分享一级品类'] = ch_df['再分享一级品类'].fillna('未知')
+        ch_df['头部一级品类'] = ch_df['头部一级品类'].apply(get_cat_label)
+        ch_df['再分享一级品类'] = ch_df['再分享一级品类'].apply(get_cat_label)
         row_col = '头部一级品类'
         col_col = '再分享一级品类'
     else: