AttributeError: module 'fiona' has no attribute 'path' when trying to read a shp file with the geostats_env kerbel

[pijao23]

Environment:
I am going the Task 2 of this notebook: https://github.com/DigitalWaters-fi/WaterDig/blob/main/CodeSprints/FeatureDependence.ipynb
I am running the code on the VRE.
I am running the geostats_env kernel.

Expected result:
I am expecting that the function will return a pandas dataframe named votes.

What I did
Once I have downloaded election.zip with the following:

import urllib.request
import os
import earthpy as et
import zipfile

url = 'https://geodacenter.github.io/data-and-lab//data/election.zip'

Path = os.path.join(et.io.HOME, 'earth-analytics', 'data')
file_Path = os.path.join(Path, 'election.zip')
urllib.request.urlretrieve(url, file_Path)

with zipfile.ZipFile(file_Path, 'r') as zip_ref:
    zip_ref.extractall(Path)

I am trying to open the 'election.shp file with gpd.read()

votes_path = os.path.join(Path, 'election', 'election.shp')
votes = gpd.read_file(votes_path)

Error
I got the following error:

AttributeError                            Traceback (most recent call last)
Cell In[3], line 3      1 # TASK 2: Use geopandas to read in this shapefile. Call your geopandas.DataFrame "votes"      2 votes_path = os.path.join(Path, 'election', 'election.shp')----> 3 votes = gpd.read_file(votes_path)
File /opt/conda/envs/geostats_env/lib/python3.8/site-packages/geopandas/io/file.py:281, in _read_file(filename, bbox, mask, rows, engine, **kwargs)    278     else:    279         path_or_bytes = filename--> 281     return _read_file_fiona(    282         path_or_bytes, from_bytes, bbox=bbox, mask=mask, rows=rows, **kwargs    283     )    285 else:    286     raise ValueError(f"unknown engine '{engine}'")

File /opt/conda/envs/geostats_env/lib/python3.8/site-packages/geopandas/io/file.py:299, in _read_file_fiona(path_or_bytes, from_bytes, bbox, mask, rows, where, **kwargs)    293     raise NotImplementedError("where requires fiona 1.9+")    295 if not from_bytes:    296     # Opening a file via URL or file-like-object above automatically detects a    297     # zipped file. In order to match that behavior, attempt to add a zip scheme    298     # if missing.--> 299     if _is_zip(str(path_or_bytes)):    300         parsed = fiona.parse_path(str(path_or_bytes))    301         if isinstance(parsed, fiona.path.ParsedPath):    302             # If fiona is able to parse the path, we can safely look at the scheme    303             # and update it to have a zip scheme if necessary.
File /opt/conda/envs/geostats_env/lib/python3.8/site-packages/geopandas/io/file.py:166, in _is_zip(path)    164 def _is_zip(path):    165     """Check if a given path is a zipfile"""--> 166     parsed = fiona.path.ParsedPath.from_uri(path)    167     return (    168         parsed.archive.endswith(".zip")    169         if parsed.archive    170         else parsed.path.endswith(".zip")
    171     )
AttributeError: module 'fiona' has no attribute 'path'

More info
here is the result from pip list
Package Version

---

access 1.1.9
affine 2.4.0
anyio 4.5.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 3.0.0
async-lru 2.0.4
attrs 24.2.0
babel 2.16.0
backcall 0.2.0
beautifulsoup4 4.12.3
bleach 6.1.0
Brotli 1.1.0
cached-property 1.5.2
certifi 2024.8.30
cffi 1.17.0
charset-normalizer 3.4.0
click 8.1.7
click-plugins 1.1.1.2
cligj 0.7.2
cloudpickle 3.1.0
comm 0.2.2
contourpy 1.1.1
cycler 0.12.1
cytoolz 0.12.3
dask 2023.5.0
debugpy 1.8.5
decorator 5.1.1
defusedxml 0.7.1
deprecation 2.1.0
descartes 1.1.0
earthpy 0.9.4
entrypoints 0.4
esda 2.5.1
exceptiongroup 1.2.2
executing 2.1.0
fastjsonschema 2.20.0
fiona 1.10.1
fonttools 4.57.0
fqdn 1.5.1
fsspec 2024.10.0
GDAL 3.9.2
geographiclib 2.1
geopandas 0.13.2
geopy 2.4.1
giddy 2.3.4
h11 0.14.0
h2 4.1.0
hpack 4.0.0
httpcore 1.0.7
httpx 0.27.2
hyperframe 6.0.1
idna 3.10
imagecodecs-lite 2019.12.3
imageio 2.36.0
importlib_metadata 8.5.0
importlib_resources 6.4.5
inequality 1.0.0
ipykernel 6.29.5
ipython 8.12.2
ipywidgets 8.1.5
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.4
joblib 1.4.2
json5 0.9.25
jsonpointer 3.0.0
jsonschema 4.23.0
jsonschema-specifications 2024.10.1
jupyter 1.1.1
jupyter_client 8.6.3
jupyter-console 6.6.3
jupyter_core 5.8.1
jupyter-events 0.10.0
jupyter-lsp 2.2.5
jupyter_server 2.14.2
jupyter_server_terminals 0.5.3
jupyterlab 4.2.5
jupyterlab_pygments 0.3.0
jupyterlab_server 2.27.3
jupyterlab_widgets 3.0.13
kiwisolver 1.4.7
lazy_loader 0.4
libpysal 4.7.0
llvmlite 0.41.1
locket 1.0.0
mapclassify 2.5.0
MarkupSafe 2.1.5
matplotlib 3.7.5
matplotlib-inline 0.1.7
mgwr 2.2.1
mistune 3.0.2
momepy 0.6.0
mpmath 1.3.0
nbclient 0.10.4
nbconvert 7.16.4
nbformat 5.10.4
nest_asyncio 1.6.0
networkx 3.1
notebook 7.2.2
notebook_shim 0.2.4
numba 0.58.1
numpy 1.24.4
overrides 7.7.0
packaging 26.0
pandas 2.0.3
pandocfilters 1.5.0
parso 0.8.4
partd 1.4.1
patsy 1.0.2
pexpect 4.9.0
pickleshare 0.7.5
pillow 10.4.0
pip 24.3.1
pkgutil_resolve_name 1.3.10
platformdirs 4.3.6
pointpats 2.4.0
prometheus_client 0.21.0
prompt_toolkit 3.0.48
psutil 6.0.0
ptyprocess 0.7.0
PuLP 3.1.1
pure_eval 0.2.3
pycparser 2.22
pygeos 0.14
Pygments 2.18.0
pyparsing 3.1.4
pyproj 3.5.0
pysal 24.1
PySocks 1.7.1
python-dateutil 2.9.0
python-json-logger 2.0.7
pytz 2024.2
PyWavelets 1.4.1
PyYAML 6.0.2
pyzmq 26.2.0
quantecon 0.10.1
rasterio 1.3.11
rasterstats 0.20.0
referencing 0.35.1
requests 2.32.3
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.20.0
Rtree 1.3.0
scikit-image 0.20.0
scikit-learn 1.3.2
scipy 1.9.1
seaborn 0.13.2
segregation 2.5
Send2Trash 1.8.3
setuptools 75.3.0
shapely 2.0.7
simplejson 3.20.2
six 1.16.0
sniffio 1.3.1
snuggs 1.4.7
soupsieve 2.6
spaghetti 1.7.4
spglm 1.0.8
spint 1.0.7
splot 1.1.7
spopt 0.5.0
spreg 1.5.0
spvcm 0.3.0
stack-data 0.6.2
statsmodels 0.14.1
sympy 1.13.3
terminado 0.18.1
threadpoolctl 3.5.0
tifffile 2020.6.3
tinycss2 1.4.0
tobler 0.9.0
tomli 2.0.2
toolz 1.0.0
tornado 6.4.1
tqdm 4.67.3
traitlets 5.14.3
types-python-dateutil 2.9.0.20241003
typing_extensions 4.12.2
typing-utils 0.1.0
tzdata 2024.2
uri-template 1.3.0
urllib3 2.2.3
wcwidth 0.2.13
webcolors 24.8.0
webencodings 0.5.1
websocket-client 1.8.0
wheel 0.45.1
widgetsnbextension 4.0.13
zipp 3.21.0
zstandard 0.19.0

[wc-caldwell]

I think this has to do with older versions of fiona checking if a path is a zipfile before checking if it is a shapefile.

Given the same dependencies below:
shapely 2.0.7
fiona 1.10.1
geopandas 0.13.2

You should be able to open the shapefile with the code below

import fiona

path = elections.get_file_list()[0]

with fiona.open(path) as src:
    gdf = gpd.GeoDataFrame.from_features(src, crs=src.crs)    

This will open the shapefile using fiona instead of geopandas, which bypasses the zipfile check for these versions. You then convert to a projected geodataframe with geopandas. Hopefully this works. no need to change any libraries.

[pijao23]

Thanks @wc-caldwell ! Indeed it works for me:

import urllib.request
import os
import earthpy as et
import zipfile
import fiona

url = 'https://geodacenter.github.io/data-and-lab//data/election.zip'

Path = os.path.join(et.io.HOME, 'earth-analytics', 'data')
file_Path = os.path.join(Path, 'election.zip')
urllib.request.urlretrieve(url, file_Path)

with zipfile.ZipFile(file_Path, 'r') as zip_ref:
    zip_ref.extractall(Path)

votes_path = os.path.join(Path, 'election', 'election.shp')
with fiona.open(votes_path) as src:
    votes = gpd.GeoDataFrame.from_features(src, crs=src.crs)