facility_scatter = ax.scatter(hotel_df['Lon_d'], hotel_df['Lat_d'], c=hotel_df['labels'], cmap=cm.Dark2, edgecolor='None', alpha=0.7, s=120)表示什么意思
时间: 2023-06-09 13:04:21 浏览: 204
这段代码表示在以酒店经纬度为横纵坐标的散点图上,使用酒店所属标签的颜色进行标记,并使用较深的颜色集合cm.Dark2,同时设置点的透明度为0.7,点的大小为120。这样可以有效地展示酒店的位置和类别信息。
相关问题
where ipm.delect_type is null and exists (select 1 from plan_order_item oi where oi.plan_id =ipm.plan_id and exists (select 1 from sm.ass_person_privileges pp where pp.room_id=oi.facility_id and pp.user_id=#{userId})) SQL中where条件这样写可以不
这是一个SQL查询语句,意思是查询ipm表中delect_type为空的记录,并且存在一个子查询,子查询中查询plan_order_item表中plan_id等于ipm表中plan_id的记录,并且存在另一个子查询,子查询中查询sm.ass_person_privileges表中room_id等于plan_order_item表中facility_id并且user_id等于某个值的记录。具体查询的目的和结果需要根据具体情况来确定。
改进代码var req []*Total res := db.Scopes(models.Paginate(page, pageSize)).Raw("SELECT * FROM flaws WHERE facility_id = ? "+ "UNION SELECT * FROM issues WHERE facility_id = ? "+ "UNION SELECT * FROM records WHERE facility_id = ? "+ "UNION SELECT * FROM qualities WHERE facility_id = ? "+ "UNION SELECT * FROM inspections WHERE facility_id = ?", code, code, code, code, code).Find(&req)
这段代码可以优化为使用GORM的联合查询(Union)功能,避免使用Raw SQL语句。
可以尝试这样改进代码:
```
err := db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, field2, NULL as field3, NULL as field4, NULL as field5").
Table("flaws").
Union(db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, NULL as field2, field3, field4, NULL as field5").
Table("issues")).
Union(db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, NULL as field2, NULL as field3, NULL as field4, field5").
Table("records")).
Union(db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, field2, NULL as field3, NULL as field4, NULL as field5").
Table("qualities")).
Union(db.Where("facility_id = ?", code).
Select("id, created_at, updated_at, field1, NULL as field2, field3, field4, field5").
Table("inspections")).
Order("created_at desc").
Limit(pageSize).
Offset((page - 1) * pageSize).
Find(&req).Error
```
在这个示例中,我们使用了 `Select` 函数选择每个表中的字段,并将不需要的字段设置为 `NULL`。然后我们使用 `Union` 函数将所有查询合并到一起,并使用 `Order`、`Limit` 和 `Offset` 函数进行分页和排序。
这种方法比使用 `Raw` 函数更安全,因为它可以防止 SQL 注入攻击,并且更易于维护。
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