Orangery
Orangery is a Python library to support analysis of topographic cross-sections, particularly on stream channels. The intent is to enable the user to write simple scripts that operate on CSV data exported from a survey data collector.
Orangery was initially a single script that allowed me to segregate, by grain size, changed areas on repeat topographic cross-sections. It can produce output plots like the one below.
Installation
To install from the Python Package Index:
$pip install orangery
To install from the source distribution execute the setup script in the orangery directory:
$python setup.py install
To install from Anaconda Cloud:
If you are starting from scratch the first thing to do is install the Anaconda Python distribution, add the necessary channels to obtain the dependencies and install orangery.
$conda config --append channels conda-forge
$conda config --append channels mrahnis
$conda install orangeryTo install from the source distribution:
Execute the setup script in the orangery directory:
$python setup.py installExamples
The example scripts may be run like so:
$python plots.py
License
BSD
Documentation
Latest html
1 maintainer
Metadata
1 maintainer
Release files for orangery 0.4.3
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 | Actions |
|---|---|---|---|---|
| orangery-0.4.3.tar.gz | 52.7 kB | Without provenance | Details for orangery-0.4.3.tar.gz |
Release files / orangery-0.4.3.tar.gz
| Download URL | orangery-0.4.3.tar.gz |
|---|---|
| Size | 52.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eab74c70432f50a11424cd1efb4a612ea9c1c02e2250435685818996745ef451
|
|
BLAKE2b-256 checksum How to use checksums |
92c375f9a093e00897542ca73046b5652466451c84e93fb38af9918568885fe2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.3
|
Security for orangery 0.4.3
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
