问题描述
全部，
我一直致力于编制全球所有 MTB 路线的索引.我是 Python 人，所以对于涉及的所有步骤，我都尝试使用 Python 模块.
我能够像这样从 OSM overpass API 获取关系:
from OSMPythonTools.overpass import Overpass天桥=天桥()def fetch_relation_coords(关系):rel = overpass.query('rel(%s); (._;>); out;' % 关系)返回 relrel = fetch_relation_coords(6750628")我选择这个特定的关系 (6750628)，因为它是导致不连续(或其他错误)图的几个关系之一.
我处理rel"对象来获取这样的 pandas.DataFrame:
elements = pd.DataFrame(rel.toJSON()['elements'])元素"看起来像这样:
Elements pandas.DataFrame 包含关系"类型的行.(在这种情况下为 1)，有几种方式"类型.和许多类型的节点".我的理解是我会使用关系".行，成员"列提取方式的顺序(指向节点)，并使用该顺序以正确的顺序制作节点的纬度和经度列表(供以后在传单中使用)，即顺序这会导致地图上的连续路径.
然而，事实并非如此.对于这种特殊的关系，我最终得到了以下情节:
如果我们将其与
在数据库中，我宁愿对节点进行排序，因为我可以使用它们即时制作 GPX 文件.但我想我确实用这种方法回答了我自己的问题，感谢@scai 将我引向这个方向.
All,
I have been working on an index of all MTB trails worldwide. I'm a Python person so for all steps involved I try to use Python modules.
I was able to grab relations from the OSM overpass API like this:
from OSMPythonTools.overpass import Overpass
overpass = Overpass()
def fetch_relation_coords(relation):
rel = overpass.query('rel(%s); (._;>;); out;' % relation)
return rel
rel = fetch_relation_coords("6750628")
I'm choosing this particular relation (6750628) because it is one of several that is resulting in discontinuous (or otherwise erroneous) plots.
I process the "rel" object to get a pandas.DataFrame like this:
elements = pd.DataFrame(rel.toJSON()['elements'])
"elements" looks like this:
The Elements pandas.DataFrame contains rows of the types "relation" (1 in this case), several of the type "way" and many of the type "node". It was my understanding that I would use the "relation" row, "members" column to extract the order of the ways (which point to the nodes), and use that order to make a list of the latitudes and longitudes of the nodes (for later use in leaflet), in the correct order, that is, the order that leads to continuous path on a map.
However, that is not the case. For this particular relation, I end up with the following plot:
If we compare that with the way the relation is displayed on openstreetmap.org itself, we see that it goes wrong (focus on the middle, eastern part of the trail). I have many examples of this happening, although there are also a lot of relations that do display correctly.
So I was wondering, what am I missing? Are there nodes with tags that need to be ignored? I already tried several things, including leaving out nodes with any tags, this does not help. Somewhere my processing is wrong but I don't understand where.
If I opt to just plot the different way on top of each other, I indeed get a continuous plot (index contains the indexes for all nodes per way):
In the Database I would have preferred to have the nodes sorted anyway because I could use them to make a GPX file on the fly. But I guess I did answer my own question with this approach, thank you @scai for tipping me into this direction.
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