Fables - (F)ile T(ables)
For users:
Parse the tabular data in the input file:
import fables
for parse_result in fables.parse('myfile.zip'):
for table in parse_result.tables:
print(table.name)
print(table.df.head())
for error in parse_result.errors:
print(error.message)
Inspect the contents of the input file:
node = fables.detect('myfile.zip')
print(node.name)
print(node.mimetype)
for child in node.children:
print(child.name)
print(child.mimetype)
Note if you've already discovered the input tree from detect(),
you can pass it into parse():
parse_results = parse(tree=node)
Handling encrypted zip, xlsx, xlsb, and xls files:
node = fables.detect('encrypted.xlsx')
assert node.encrypted
node.add_password('encrypted.xlsx', 'fables')
assert not node.encrypted
You can also supply a passwords dictionary (filename -> password) into detect and parse:
node = fables.detect(
'encrypted.zip',
passwords={
'encrypted.zip': 'fables',
# an encrypted file inside the zip
'encrypted.xlsx': 'foobles',
}
)
# and/or parse
parse_results = fables.parse(
'sub_dir',
passwords={
'sub_dir/encrypted.xlsx': 'fables',
'sub_dir/encrypted.xls': 'foobles',
},
)
Seeing is believing:
Clone the repository & run the example file by executing the example.py script with the following command:
python3 example.py
Installation
The python library python-magic
requires additional system dependencies. There are installation instructions
there, but here are recommended routes to try:
-
on OSX:
brew install libmagic. -
on Windows: this
pip install python-magic-binwill install a built version using ctypes to access the libmagic file type identification library.
Then pip install -r requirements.txt should do the trick.
For contributors:
Tests
- all tests:
pytest- coverage:
pytest --cov=fables tests
- coverage:
- integration:
pytest tests/integration- coverage:
pytest --cov=fables tests/integration
- coverage:
- unit:
pytest tests/unit- coverage:
pytest --cov=fables tests/unit
- coverage:
Note all the coverage statistics are for statements.
Type checking with mypy
mypy fables
Linting
- We enforce flake8:
flake8 .
Run test, type checking, and linter all at once
nox
Metadata
Release files for fables 1.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| fables-1.2.5.tar.gz | 16.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fables-1.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.9 kB
Release files / fables-1.2.5.tar.gz
| Download URL | fables-1.2.5.tar.gz |
|---|---|
| Size | 16.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.5
|
Release files / fables-1.2.5-py3-none-any.whl
| Download URL | fables-1.2.5-py3-none-any.whl |
|---|---|
| Size | 17.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.5
|
Security for fables 1.2.5
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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