Python Client Library for Harmonize DataSources
About
A Python Library for accessing harmonized spatiotemporal data and retrieving it in a Pandas DataFrame format. The main goal is to provide a tool that simplifies access to multiscale data related to health in critical regions affected by climate change. It integrates datasets such as climate reanalysis, weather forecasts, socioeconomic and demographic data, epidemiological surveillance, and drone imagery.
The client is designed to interact with the Earth Observation Data Cube tuned for Health Response Systems (EODCtHRS), which builds upon the digital infrastructure of the Brazil Data Cube (BDC) from the National Institute for Space Research (INPE), ensuring integration and interoperability between multiple data sources.
The library allows users to list available collections, retrieve metadata, and access filtered data.
Installation
See INSTALL.rst.
Using Harmonize Datasources in the Command Line
See CLI.rst.
License
Metadata
Release files for harmonize-ds 0.4.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| harmonize_ds-0.4.0.tar.gz | 614.3 kB | Without provenance | Details for harmonize_ds-0.4.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| harmonize_ds-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for harmonize_ds-0.4.0-py3-none-any.whl |
Total release size: 662.8 kB
Release files / harmonize_ds-0.4.0.tar.gz
| Download URL | harmonize_ds-0.4.0.tar.gz |
|---|---|
| Size | 614.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.10.12
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Release files / harmonize_ds-0.4.0-py3-none-any.whl
| Download URL | harmonize_ds-0.4.0-py3-none-any.whl |
|---|---|
| Size | 48.5 kB |
| Tags | Python 3 |
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No |
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twine/6.2.0 CPython/3.10.12
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Security for harmonize-ds 0.4.0
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