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appdirs --> platformdirs #359

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merged 1 commit into from
Mar 7, 2023
Merged

appdirs --> platformdirs #359

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3 changes: 2 additions & 1 deletion .ci/310.yml
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Expand Up @@ -13,7 +13,7 @@ dependencies:
- scikit-learn
- seaborn
- pyarrow >=0.14.1
- appdirs
- platformdirs
- dash
- dash-bootstrap-components
- palettable
Expand All @@ -29,6 +29,7 @@ dependencies:
- versioneer
- pyproj >=3
- pandana
- pooch

# testing
- jupyter
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3 changes: 2 additions & 1 deletion .ci/38.yml
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Expand Up @@ -13,7 +13,7 @@ dependencies:
- scikit-learn
- seaborn
- pyarrow >=0.14.1
- appdirs
- platformdirs
- dash
- dash-bootstrap-components
- palettable
Expand All @@ -29,6 +29,7 @@ dependencies:
- versioneer
- pyproj >=3
- pandana
- pooch

# testing
- jupyter
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3 changes: 2 additions & 1 deletion .ci/39.yml
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Expand Up @@ -13,7 +13,7 @@ dependencies:
- seaborn
- hdbscan
- pyarrow >=0.14.1
- appdirs
- platformdirs
- dash
- dash-bootstrap-components
- palettable
Expand All @@ -29,6 +29,7 @@ dependencies:
- versioneer
- pyproj >=3
- pandana
- pooch

# testing
- jupyter
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2 changes: 1 addition & 1 deletion docs/data.rst
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Expand Up @@ -16,7 +16,7 @@ This means that streaming data is relatively fast and efficient.

If you plan to make repeated queries, or you need offline access to the data, ``geosnap`` also has functions
for caching all the data locally (see the `Getting Started <https://oturns.github.io/geosnap-guide/notebooks/01_getting_started.html>`_ tutorial).
Since we store everything in parquet, local storage is still highly efficient, and ``geosnap`` will use `appdirs <https://pypi.org/project/appdirs/>`_
Since we store everything in parquet, local storage is still highly efficient, and ``geosnap`` will use `platformdirs <https://pypi.org/project/platformdirs/>`_
to determine the best place to store the data on your machine.


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2 changes: 1 addition & 1 deletion environment.yml
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Expand Up @@ -12,7 +12,7 @@ dependencies:
- scikit-learn
- seaborn
- pyarrow >=0.14.1
- appdirs
- platformdirs
- pip
- tqdm
- quilt3 >=3.6
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2 changes: 1 addition & 1 deletion geosnap/_data.py
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Expand Up @@ -6,7 +6,7 @@

import geopandas as gpd
import pandas as pd
from appdirs import user_data_dir
from platformdirs import user_data_dir


def _fetcher(local_path, remote_path, warning_msg):
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4 changes: 2 additions & 2 deletions geosnap/io/storage.py
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Expand Up @@ -8,7 +8,7 @@
import geopandas as gpd
import pandas as pd
import quilt3
from appdirs import user_data_dir
from platformdirs import user_data_dir

from .._data import DataStore
from .util import adjust_inflation
Expand Down Expand Up @@ -40,7 +40,7 @@ def store_seda(data_dir="auto", accept_eula=False):
----------
data_dir : str, optional
path to desired storage location. If "auto", geosnap will use its default data
directory provided by appdirs, by default "auto"
directory provided by platformdirs, by default "auto"
accept_eula : bool, optional
Whether the accept the EULA from SEDA, by default False
"""
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2 changes: 1 addition & 1 deletion geosnap/io/util.py
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Expand Up @@ -41,7 +41,7 @@ def get_census_gdb(years=None, geom_level="blockgroup", output_dir="."):
fn = f"{year}_ACS_5YR_{geom_level.capitalize()}.gdb.zip"
out_fn = f"ACS_{year}_5YR_{levels[geom_level].upper()}.gdb.zip"
pth = pathlib.PurePath(output_dir, out_fn)
url = f"https://www2.census.gov/geo/tiger/TIGER_DP/{year}ACS/{fn}"
url = f"ftp://ftp2.census.gov/geo/tiger/TIGER_DP/{year}ACS/{fn}"
pooch.retrieve(url, None, progressbar=True, path=pth)

def reformat_acs_vars(col):
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2 changes: 1 addition & 1 deletion requirements.txt
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Expand Up @@ -9,7 +9,7 @@ mapclassify
giddy>=2.2.1
xlrd
cenpy
appdirs
platformdirs
tqdm
quilt3>=3.6
pyarrow>=0.14.1
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