「第一步」,我们需要去下载FileGDB驱动文件,Esri官方Github仓库:https://github.com/Esri/file-geodatabase-api,按照https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal上有关gdal使用FileGDB插件的额外说明,我选择下载FileGDB的版本为https://github.com/Esri/file-geodatabase-api/blob/master/FileGDB_API_1....
第一步,我们需要去下载FileGDB驱动文件,Esri官方Github仓库:https://github.com/Esri/file-geodatabase-api,按照https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal上有关gdal使用FileGDB插件的额外说明,我选择下载FileGDB的版本为https://github.com/Esri/file-geodatabase-api/blob/master/FileGDB_API_1.5.1...
I'm currently trying to read a shape file into a geopandas dataframe. Once in, I am then trying to write the dataframe to a postgres database with postgis this way: df.postgis.to_postgis(con=eng, table_name=fl_nm, geometry='Polygon', if_exists='append', chunksize=20000,...
{'geometry': Point(x, y),'value1': x + y,'value2': x * y}forx, yinzip(range(N), range(N))], crs=self.crs)# Try to create the database, skip the db tests if something goes# wrong# If you'd like these tests to run, create a database called# 'test_geopandas' and en...
I want to use geopandas to do some data analysis. First I read the data (can only use OpenFileGDB). Do something. Then I try to write to FileGDB with the dataframe_to_file function. I checked if FileGDB is supported with supported driver...
grid.to_postgis(self.args.searchwindows_tablename,self.engine,if_exists="append",index=True,index_label="Index") File "/home/user/miniconda3/envs/geo/lib/python3.10/site-packages/geopandas/geodataframe.py", line 1808, in to_postgis geopandas.io.sql._write_postgis( File "/home/user...
query the database at a certain timestamp address : string the address to geocode to a lat-long point distance : numeric distance in meters retain_invalid : bool if False discard any building footprints with an invalid geometry Returns
This is because the_write_postgisfunction assume that the schema name is 'public' but it doesn't exist in SQLite so I tried with 'main' (which is the default schema/database in SQLite) but an other error happened for which a fix have been made on the geoalchemy master branch so I ...
to_sql read_sql from sqlalchemy import create_engine from urllib.parse import quote_plus pg_conn = f"postgresql://{from_user}:{quote_plus(from_pw)}@{from_host}:{from_port}/{from_database}" pg_engine = create_engine(pg_conn) select_fields = ['hn_id', 'format_address'] sql1 =...
我在R中有一个数据帧,大约有34000行和10列。其中一些列包含字符串。当我尝试导出到Excel或csv (通过write.xlsx、write.csv或write.table),然后打开文件时,结果文件无法正确打开。该格式看起来非常混乱和不可读。有没有人知道如何将R数据框导出到Excel或csv中,并在Excel视图中打开它而不出现任何格式错误?