to_file('Oregon_copy.shp') Just three lines to read and write a feature class... Of course you can do the usual Pandas dataframe manipulations on "df". Geopandas is not arcpy, so it won't be the same but it's nice to have alternatives when one thing does not...
Open another code tab and let's use the Spark utils library provided by Microsoft to write the GeoPandas DataFrame as a GeoJSON file and save it in Azure Data Lake Gen 2. Unfortunately, copying the GeoPandas DataFrame directly from Synapse Notebook to Azure Data ...
Then you could try this, first "conda activate geopandas" import geopandas as gp df = gp.read_file('Oregon.shp') df.to_file('Oregon_copy.shp') Just three lines to read and write a feature class... Of course you can do the usual Pandas dataframe manipul...
Then you could try this, first "conda activate geopandas" import geopandas as gp df = gp.read_file('Oregon.shp') df.to_file('Oregon_copy.shp') Just three lines to read and write a feature class... Of course you can do the usual Pandas dataframe manipul...
# convert pandas dataframe to record array pivot_recarray = pivot.to_records(index=False) pivot_type = pivot_recarray.dtype.descr pivot_type_new = [(x[0], x[1].replace(x[1], "<i2")) for x in pivot_type] # change pivot record array data type to short integer pi...