CompositionSpace
CompositionSpace is a python library for analysis of APT data.
Installation
Installation for developers on your local machine into a virtual environment:
git clone https://github.com/eisenforschung/CompositionSpace
cd CompositionSpace
git submodule sync --recursive
git submodule update --init --recursive --remote
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
Getting started
Navigate to tests. Spin up a jupyter notebook and run FullWorkflow.ipynb.
The usa_denton_smith dataset is available here Further atom probe datasets for testing are available here
Release files for compositionspace 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| compositionspace-0.1.4.tar.gz | 25.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| compositionspace-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.9 kB
Release files / compositionspace-0.1.4.tar.gz
| Download URL | compositionspace-0.1.4.tar.gz |
|---|---|
| Size | 25.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.9.21
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Release files / compositionspace-0.1.4-py3-none-any.whl
| Download URL | compositionspace-0.1.4-py3-none-any.whl |
|---|---|
| Size | 28.9 kB |
| Tags | Python 3 |
|
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? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.9.21
|
