Easily pick a place to store data for your python package.
Project description
PyStow
👜 Easily pick a place to store data for your python code.
🚀 Getting Started
Get a directory for your application.
import pystow
# Get a directory (as a pathlib.Path) for ~/.data/pykeen
pykeen_directory = pystow.join('pykeen')
# Get a subdirectory (as a pathlib.Path) for ~/.data/pykeen/experiments
pykeen_experiments_directory = pystow.join('pykeen', 'experiments')
# You can go as deep as you want
pykeen_deep_directory = pystow.join('pykeen', 'experiments', 'a', 'b', 'c')
Get a file path for your application by adding the name keyword argument. This is made explicit so PyStow knows which
parent directories to automatically create.
import pystow
# Get a directory (as a pathlib.Path) for ~/.data/indra/database.tsv
indra_database_path = pystow.join('indra', 'database', name='database.tsv')
Ensure a file from the internet is available in your application's directory:
import pystow
url = 'https://raw.githubusercontent.com/pykeen/pykeen/master/src/pykeen/datasets/nations/test.txt'
path = pystow.ensure('pykeen', 'datasets', 'nations', url=url)
Ensure a tabular data file from the internet and load it for usage (requires pip install pandas):
import pystow
import pandas as pd
url = 'https://raw.githubusercontent.com/pykeen/pykeen/master/src/pykeen/datasets/nations/test.txt'
df: pd.DataFrame = pystow.ensure_csv('pykeen', 'datasets', 'nations', url=url)
Ensure a RDF file from the internet and load it for usage (requires pip install rdflib)
import pystow
import rdflib
url = 'https://ftp.expasy.org/databases/rhea/rdf/rhea.rdf.gz'
rdf_graph: rdflib.Graph = pystow.ensure_rdf('rhea', url=url)
Also see pystow.ensure_excel(), pystow.ensure_rdf(), pystow.ensure_zip_df(), and pystow.ensure_tar_df().
⚙️️ Configuration
By default, data is stored in the $HOME/.data directory. By default, the <app> app will create the
$HOME/.data/<app> folder.
If you want to use an alternate folder name to .data inside the home directory, you can set the PYSTOW_NAME
environment variable. For example, if you set PYSTOW_NAME=mydata, then the following code for the pykeen app will
create the $HOME/mydata/pykeen/ directory:
import os
import pystow
# Only for demonstration purposes. You should set environment
# variables either with your .bashrc or in the command line REPL.
os.environ['PYSTOW_NAME'] = 'mydata'
# Get a directory (as a pathlib.Path) for ~/mydata/pykeen
pykeen_directory = pystow.join('pykeen')
If you want to specify a completely custom directory that isn't relative to your home directory, you can set
the PYSTOW_HOME environment variable. For example, if you set PYSTOW_HOME=/usr/local/, then the following code for
the pykeen app will create the /usr/local/pykeen/ directory:
import os
import pystow
# Only for demonstration purposes. You should set environment
# variables either with your .bashrc or in the command line REPL.
os.environ['PYSTOW_HOME'] = '/usr/local/'
# Get a directory (as a pathlib.Path) for /usr/local/pykeen
pykeen_directory = pystow.join('pykeen')
Note: if you set PYSTOW_HOME, then PYSTOW_NAME is disregarded.
🚀 Installation
The most recent release can be installed from PyPI with:
$ pip install pystow
The most recent code and data can be installed directly from GitHub with:
$ pip install git+https://github.com/cthoyt/pystow.git
To install in development mode, use the following:
$ git clone git+https://github.com/cthoyt/pystow.git
$ cd pystow
$ pip install -e .
⚖️ License
The code in this package is licensed under the MIT License.
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