geopandas

Given the shape file available here : I'd like to label each polygon (county) in the map. Is this possible with GeoPandas? import geopandas as gpd import matplotlib.pyplot as plt %matplotlib inline shpfile=<Path to unzipped .shp file referenced and linked above> c=gpd.read_file(shpfile) c=c.loc[c['GEOID'].isin(['26161','26093','26049','26091','26075','26125','26163','26099','26115','26065'])] c.plot() Thanks in advance! c['geometry'] is a series comprised of shapely.geometry.polygon.Polygon objects. You can verify this by checking In [23]: type(c.ix[23, 'geometry']) Out[23]: shapely.geometry

Shapely 1.5.13 Downloads ↓ Geometric objects, predicates, and operations Manipulation and analysis of geometric objects in the Cartesian plane. Shapely is a BSD-licensed Python package for manipulation and analysis of planar geometric objects. It is based on the widely deployed GEOS (the engine of PostGIS ) and JTS (from which GEOS is ported) libraries. Shapely is not concerned with data formats or coordinate systems, but can be readily integrated with packages that are. For more details, see: Shapely on GitHub The Shapely manual Requirements Shapely 1.5.x requires Python >=2.6 (including

I hope that my question is not ridiculous since, surprisingly, this question has apparently not really been asked yet (to the best of my knowledge) on the popular websites. The situation is that I have several csv files containing more than 1 Mio observations in total. Each observation contains, among others, a postal address. I am planning to read all files into a single GeoDataFrame, geocode the addresses, perform a spatial join given a shapefile and save some information from the polygon for each row. Quite standard, I suppose. This is a part of a one-time data cleaning process. My goal is

I have tried to install geopandas via I python by running !pip install geopandas, but this fails with "python setup.py egg_info" failed with error code 1 and then Path to long directory. I read online that pyproj is required for geopandas and also tried to install it however no luck, similar error. Would anyone be able to point me in the right direction? Thank you. Oh by the way, if this helps, I was able to install shapely, fiona, and Descartes using this method. Thanks to the conda-forge community , geopandas is actually pretty easy to install on all platforms using the conda package manager

原创文章，欢迎分享 ！ http://my.oschina.net/u/2306127/blog/613875 最近空气污染严重，也为了演练一下Orange插件编写和数据处理的学习成果，准备开发一个AQI数据获取和分析的插件。目前做出来的一个样子如下，还有点酷吧？［下一步完善后，会将源码共享，目前暂不拿来误人，感兴趣的可交流］ 研究过程中，也发现一个重要的趋势： 北京的空气质量在整个华北平原地区，几乎任何时候都是最好的！ 这里主要介绍研究过程，目前结论只是初步观察，后面研究再提供相应的分析图表。 过程中遇到的问题和处理办法，与大家分享，也有一些未决的问题，看哪位牛人可以解决： 1、从网页上抓取AQI数据 数据来源用的 http://aqicn.org 。使用requests这个库进行数据抓取，功能很强，尤其是可以自定义Header。如果不自定义header，由于这个网站采用了反抓取技术，只返回过期的老数据，是无法得到最新的数据的。代码如下： #Get AQI data from web,by a region. def getaqidata(left,right,bottom,top): aqi_url = geturl(left,right,bottom,top) aqi = requests.get(aqi_url,headers=gethead()) raqi = aqi