Visualizing a year of data obtained from a smartwatch. Project for Northeastern MHealth Research group.
version 0.6.0
Installation
Python >= 3.7
pip install mhealthlab-dataviz
#Usage (CLI Application)
Linux/Mac
./main.py <path to processed data folder>
####Windows
python main.py <path to processed data folder>
Output
Outputs the year of data visualized as a .jpeg
Metadata
Release files for mhealth-dataviz 0.6.3
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 |
|---|---|---|---|---|
| mhealth_dataviz-0.6.3.tar.gz | 2.2 kB | Without provenance | Details for mhealth_dataviz-0.6.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mhealth_dataviz-0.6.3-py3-none-any.whl | Python 3 | none | any | Details for mhealth_dataviz-0.6.3-py3-none-any.whl |
Total release size: 4.6 kB
Release files / mhealth_dataviz-0.6.3.tar.gz
| Download URL | mhealth_dataviz-0.6.3.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.0 CPython/3.10.4
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Release files / mhealth_dataviz-0.6.3-py3-none-any.whl
| Download URL | mhealth_dataviz-0.6.3-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.0 CPython/3.10.4
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Security for mhealth-dataviz 0.6.3
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