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HyperMesh Python二次开发 选择实体对象(Entity Selection)collection基础用法

  • 2026-06-30 18:16:21
HyperMesh Python二次开发 选择实体对象(Entity Selection)collection基础用法

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愿与您一同,用代码提升效率!


HyperMesh软件使用过程中频繁用到entity 选择,比如移动某个对象。
旧版本HyperMesh移动界面如下:
新版本HyperMesh移动界面如下:
以上是使用HyperMesh基于图形界面操作,如果是二次开发后台运行,怎么实现选择功能?
基于Tcl语言的API是:
*createmark comp 1 10*createmark comp 1 "all"*createmark comp 1 "displayed"
也可以让用户交互选择,创建一个panel,只需在上面命令中加panel,例如:
*createmarkpanel component 1
以上是基于Tcl API实现的选择功能,基于Python API是通过collection来实现。
下面开始本篇主要内容,创建collection的几种方式,以及collection对象所具有的方法。
创建collection:
  • 方式1:直接全选模型中的某类entity
import hmimport hm.entities as entmodel = hm.Model()# 模型中有2个component#========================# Collection(model, type)#========================# 选择所有的componentcol_1 = hm.Collection(model, ent.Component)len(col_1)  # 输出 2 说明全选
  • 方式2:方式2比方式1多了populate( 填充)参数
#========================# Collection(model, type, populate = True)#========================# populate = True   立即填充col_2 = hm.Collection(model, ent.Component,populate = True)len(col_2)  #输出 2 说明全选# populate = False  只是创建空的collection 没有填充entitycol_3 = hm.Collection(model, ent.Component,populate = False)len(col_3)  #输出 0 说明创建了一个空的collection
  • 方式3:按某列表选择,比如选id为 1 和 2 的两个component
#========================# Collection(model, type, Union[list[int],list[str]])#========================col_4 = hm.Collection(model, ent.Component,[1,2])len(col_4)  #输出 2 按component id 1和2 选了两个componentcol_5 = hm.Collection(model, ent.Component,["suf0","suf1"])len(col_5)  # 输出 0  说明没有选择成功,帮助文档说明如下# list (Union[list[int],list[str]]) – # List of integers (IDs) or # strings (valid only for hm.entities.Part).
  • 方式4:按entity实例选择,个人感觉这个比较麻烦,还得先实例化。
#========================# Collection(model, type, list[Entity])#========================comp1 = ent.Component(model, 1) # 为id为1的component 创建component entitycomp2 = ent.Component(model, 2) # 为id为2的component 创建component entitycol_6 = hm.Collection(model, ent.Component,[comp1,comp2])len(col_6)  #输出 2 说明按component entity 选了两个component
  • 方式5:按已有collection选择
#========================# Collection(model, type, Collection)#========================col_7 = hm.Collection(model, ent.Component,[comp1])col_8 = hm.Collection(model, ent.Component,[comp2])col_9 = hm.Collection(model, ent.Component,col_7)len(col_9)  #输出 1 说明按collection 选了col_7 中的一个componentcol_10 = hm.Collection(model, ent.Component,[col_7,col_8])# 输出 ValueError: Collection constructor: # List item type not valid. Must be objects, entities or uids(int/string)# 说明通过collection方式 只能用一个collection
  • 方式6:感觉和方式4一样。
#========================# Collection(model, EntityList)#========================# 感觉和col_6一样col_11 = hm.Collection(model, ent.Component,[comp1,comp2])
  • 方式7:按某种过滤规则选择,需要有一个filter(后期专门再更新一篇filter的介绍)
#========================# Collection(model, Filter)#========================#  filter 按id选 无规律 直接枚举id  范围内用[*range(24029630,24029633)]col1 = hm.Collection(model, hm.FilterByEnumeration(ent.Element, ids=[24026501,24027444,24028418,24029020,24029442,24029625]+[*range(24029630,24029633)]))
collection对象所具有的方法:
contains方法:
# contains  检查某个entity object 是否在collection中 返回 False or Turecol_3.contains(comp1)Out[42]: False  # 说明col_3 不包含 comp1col_7.contains(comp1)Out[43]: True   # 说明col_7 包含 comp1col_6.contains(comp1)Out[44]: True   # 说明col_7 包含 comp1
add 和subtract方法:增减元素
# add ,subtract# 先创建一个col_12col_12 = hm.Collection(model, ent.Component)  #包含所有comp# 使用for 循环检查 col_12 中的comp idfor comp in col_12:print(comp.id)#输出    #1#2# 证明 col_12 中有两个pid  1和2# 创建一个filter规则  PID 大于 1filter = hm.FilterByAttribute(ent.Component, "id>1")## 将col_12 中pid>1的component 移除出col_12col_12.subtract(filter,col_12)for comp in col_12:print(comp.id)#输出    #1# 证明 col_12 id为2的comp被移除## 再新建一个包含两个comp 的col_14 作为源col_14 = hm.Collection(model, ent.Component)col_12.add(filter,col_14)for comp in col_12:print(comp.id)#输出    #1#2# 证明 col_12又 将col_14中大于1的pid加入
set_items: 例如将多个component赋统一材料(示例中材料id为1)
# set_itemscol_15 = hm.Collection(model, ent.Component)materialid = ent.Material(model, 1)col_15.set_items("materialid",materialid)
filter:过滤
# filtercol_16 = hm.Collection(model, ent.Component)# 赛选出PID大于1的col_16.filter(filter,col_16)for comp in col_16:print(comp.id)#输出 2   
delete_items:直接从模型中删除collection中的entity。
# delete_items# 从模型中删除collection中的entitycol_17 = hm.Collection(model, ent.Component)col_17.delete_items() 
intersect:集合求交
#intersect 模型中3个component, id 为 1,2,3col_18 = hm.Collection(model, ent.Component,[1,2])col_19 = hm.Collection(model, ent.Component,[3,2])col_20 = col_18.intersect(col_19)len(col_20)Out[3]: 1for comp in col_20:print(comp.id)    # 输出 2  说明 col_20 是col_18 和 col_19的交集

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  1. CONNECT:[ UseTime:0.001058s ] mysql:host=127.0.0.1;port=3306;dbname=f_mffb;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.001579s ]
  3. SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.000688s ]
  4. SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.000632s ]
  5. SHOW FULL COLUMNS FROM `set` [ RunTime:0.001246s ]
  6. SELECT * FROM `set` [ RunTime:0.000487s ]
  7. SHOW FULL COLUMNS FROM `article` [ RunTime:0.001331s ]
  8. SELECT * FROM `article` WHERE `id` = 496610 LIMIT 1 [ RunTime:0.000956s ]
  9. UPDATE `article` SET `lasttime` = 1783057626 WHERE `id` = 496610 [ RunTime:0.038245s ]
  10. SELECT * FROM `fenlei` WHERE `id` = 66 LIMIT 1 [ RunTime:0.000646s ]
  11. SELECT * FROM `article` WHERE `id` < 496610 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.006356s ]
  12. SELECT * FROM `article` WHERE `id` > 496610 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.002294s ]
  13. SELECT * FROM `article` WHERE `id` < 496610 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.001788s ]
  14. SELECT * FROM `article` WHERE `id` < 496610 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.001788s ]
  15. SELECT * FROM `article` WHERE `id` < 496610 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.002163s ]
0.219453s