这个错误是由于在使用geopandas模块时,尝试调用了一个不存在的属性'read_file'导致的。geopandas是一个用于地理空间数据处理的Python库,它提供了读取、写入和分析地理空间数据的功能。 要解决这个错误,首先需要确保已经正确安装了geopandas库。可以使用以下命令来安装geopandas: 代码语言:txt 复制 pip install...
新版本中为read_file()与to_file()引入了参数engine用于指定读写常见矢量文件基于的引擎,默认为原先的'fiona',可选'pyogrio',这是由geopandas开发团队维护的另一个库,可大幅度提升对常见矢量文件格式如shapefile的读写速度,以读取具有数百万个多边形的广州市全量建筑物轮廓数据为例,新的IO引擎带来近5倍的读取性能...
# 读取四川地图数据,数据来自DataV.GeoAtlas,将其投影到EPSG:4573 data = gpd.read_file('https://geo.datav.aliyun.com/areas_v3/bound/510000_full.json').to_crs('EPSG:4573') data.head() 简单分级统计 以下代码通过scheme分级统计四川省各地级市所包含区县数。 ax = data.plot( column="childrenNum"...
"""#read the raw data to geodataframegeo_df = ReadHillslopeTraces(DataDirectory,FilenamePrefix,ThinningFactor, CustomExtent) Suffix ='_hillslope_traces'WriteFilename = DataDirectory+FilenamePrefix+Suffix+'.shp'#aggregate these points with group bygeo_df = geo_df.groupby(['HilltopID'])['geome...
# 需要导入模块: import geopandas [as 别名]# 或者: from geopandas importread_file[as 别名]defogr2snwe(vectorFile, buffer=None):"""Convert ogr shape to South,North,West,East bounds. Parameters --- vectorFile : str path to OGR-recognized vector file. buffer : float...
import geopandas as gpd world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres')) world.plot() import matplotlib.pyplot as plt plt.show() -- here is the error: File "C:\Users\usr\Anaconda3\lib\site-packages\geopandas\plotting.py", line 90, in plot_polygon_...
python小白,最近一直在学习geopandas,今天在使用geopandas的时候突然报错提示: f"the {func} requires the 'fiona' package, but it is not installed or does " ImportError: the 'read_f…
Spatial data examples. Contribute to geopandas/geodatasets development by creating an account on GitHub.
import geopandas as gpdfrom sqlalchemy import create_engineengine = create_engine(f'postgresql://{user}:{password}@localhost:5432/database_name?gssencmode=disable')gdf.sample(1000).to_postgis("taxi", engine)数据到PostGIS的传输非常顺利。我也对此选项感到最兴奋。它开辟了新的可能性,可以将Post...
Geopandas is a popular open-source Python library that is widely used for working with geospatial data. It provides an easy and efficient way to read, write, and manipulate geographic data, making it a go-to tool for many professionals in the field. When reading a file using geopandas, it...