See geopandas
issue #2752
Last active
January 7, 2023 14:54
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Sample file for geopandas issue #2752
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import geopandas as gpd | |
# Shapefile contains three fields: "date", "geometry", "geometry_2" | |
# Both "geometry" and "geometry_2" are identical | |
# and are a 1 decimal rounding of the layer initrinsic geometry | |
fpath = "https://gist.github.com/Paul-Aime/4869dcaa3f94ca46c699d9d3244da261/raw/609b2819cfb647f32517835bf66bf673f829012d/products.zip" | |
# Reading with `engine=pyogrio` works | |
# the field "geometry" is overridden by the layer geometry | |
# it is known because otherwise "geometry" and "geometry_2" would have been identical | |
df1 = gpd.read_file(fpath, engine="pyogrio") | |
print(df1) | |
# date geometry geometry_2 | |
# 0 2022-12-04T11:16:25.555Z POLYGON ((-1.61123 43.42786, -1.61095 43.54664... POLYGON ((-1.6 43.4, -1.6 43.5, -1.6 43.5, -1.... | |
# 1 2022-07-21T11:12:31.329Z POLYGON ((-1.60609 43.38495, -1.60602 43.56857... POLYGON ((-1.6 43.3, -1.6 43.5, -1.4 43.5, -1.... | |
# Reading with `engine=fiona` raises a ValueError | |
# This is because `geopandas.io.file._read_file_fiona` adds a "geometry" column by itself. | |
try: | |
df = gpd.read_file(fpath, engine="fiona") | |
except ValueError as e: | |
print(e) | |
# GeoDataFrame does not support multiple columns using the geometry column name 'geometry'. | |
# Reading with `engine=fiona` AND `ignore_fields=["geometry"]` | |
# leads the same result as reading with `engine=pyogrio` | |
# i.e. the "geometry" column is the one derived from the layer intrinsic geometry | |
df2 = gpd.read_file(fpath, engine="fiona", ignore_fields=["geometry"]) | |
print(df2) | |
print(df1["geometry"].equals(df2["geometry"])) | |
# date geometry_2 geometry | |
# 0 2022-12-04T11:16:25.555Z POLYGON ((-1.6 43.4, -1.6 43.5, -1.6 43.5, -1.... POLYGON ((-1.61123 43.42786, -1.61095 43.54664... | |
# 1 2022-07-21T11:12:31.329Z POLYGON ((-1.6 43.3, -1.6 43.5, -1.4 43.5, -1.... POLYGON ((-1.60609 43.38495, -1.60602 43.56857... | |
# True |
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