pyecotaxa
Python package to query EcoTaxa and process its output.
pyecotaxa.archive: Read and write EcoTaxa archives
from pyecotaxa.archive import read_tsv, write_tsv
# Read a .tsv file into a pandas DataFrame
# In contrast to pd.read_csv, this function transparently handles the type header
df = read_tsv(path_to_file)
# Write pandas DataFrame into a .tsv file
# In contrast to df.to_csv, this function can generate the type header
write_tsv(df, path_to_file)
pyecotaxa.remote: Interact with a remote EcoTaxa server
from pyecotaxa.remote import Remote
r = Remote()
# Login
r.login(username, password)
# Pull one or more project archives by project_id
r.pull(project_ids)
Metadata
Release files for pyecotaxa 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyecotaxa-0.0.5.tar.gz | 25.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyecotaxa-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.1 kB
Release files / pyecotaxa-0.0.5.tar.gz
| Download URL | pyecotaxa-0.0.5.tar.gz |
|---|---|
| Size | 25.2 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / pyecotaxa-0.0.5-py3-none-any.whl
| Download URL | pyecotaxa-0.0.5-py3-none-any.whl |
|---|---|
| Size | 26.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a4a45fc7ebba975820833f69efa18af9bc7d52367ab5d2336aeb7ced0582c701
|
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BLAKE2b-256 checksum How to use checksums |
24d4271a23514fd03b980fc60717a1250f7ed4efa19320f04721d428f76ad97e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 17, 2026.
Transparency log