Metadata-Version: 2.1
Name: dummy-0532
Version: 0.3.4
Summary: Dummy package for test
Home-page: https://github.com/andher1802/dummy_0532.git
Author: UP42
Author-email: andres.hernandez-camacho@up42.com
License: MIT
Description: <p align="center">
            <strong>Python SDK for UP42, the geospatial marketplace and developer platform.</strong>
        </p>
        
        ![](docs/assets/github-banner-3.jpg)
        
        <p align="center">
            <a href="https://mybinder.org/v2/gh/up42/up42-py/master?filepath=examples%2Fguides" title="Binder"><img src="https://mybinder.org/badge_logo.svg"></a>
            <a href="https://pypi.org/project/up42-py/" title="up42-py on pypi"><img src="https://img.shields.io/pypi/v/up42-py?color=brightgreen"></a>
            <img src="./coverage.svg">
            <a href="https://twitter.com/UP42_" title="UP42 on Twitter"><img src="https://img.shields.io/twitter/follow/UP42_.svg?style=social"></a>
        </p>
        
        <p align="center">
            <b>
              <a href="https://sdk.up42.com/">Documentation</a> &nbsp; • &nbsp;
              <a href="http://www.up42.com">UP42.com</a> &nbsp; • &nbsp;
              <a href="#support">Support</a>
            </b>
        </p>
        
        ## Highlights
        - Python package for easy access to **[UP42's](http://www.up42.com)** **geospatial datasets** & **processing workflows**
        - Use UP42 functionality together with your preferred Python libraries!
        - For geospatial **analysis** & **product builders**!
        - Interactive maps & **visualizations**, ideal with Jupyter notebooks
        
        
        <img align="right" href="https://sdk.up42.com/" src="docs/assets/docs.png" alt="" height="200"/>
        
        ## Installation & Documentation
        
        See the **[documentation](https://sdk.up42.com/)** for **getting started guides**, **examples** and the **code reference**.
        
        The package requires Python > 3.6.
        
        ```bash
        pip install up42-py
        ```
        
        <br>
        
        ## 30-second Example
        
        The UP42 Python package uses nine classes, representing the **hierarchical structure** of UP42: **Project > Workflow > Job > JobTask** | **JobCollection** | **Catalog > Order** | **Storage > Asset**.
        
        ![](docs/assets/vizualisations.jpg)
        
        
        In this example a **new workflow** consisting of [**Sentinel-2 data**](https://marketplace.up42.com/block/018dfb34-fc19-4334-8125-14fd7535f979)
        and [**Sharpening Filter**](https://marketplace.up42.com/block/e374ea64-dc3b-4500-bb4b-974260fb203e) is created.
        The area of interest and workflow parameters are defined. After **running the job**, 
        the results are **downloaded** and visualized.
        
        Try this example without installation! [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/up42/up42-py/master?filepath=examples%2Fguides%2F30-seconds-example.ipynb)
        
        ```python
        import up42
        up42.authenticate(project_id="12345", project_api_key="67890")
        project = up42.initialize_project()
        
        # Construct workflow
        workflow = project.create_workflow(name="30-seconds-workflow", use_existing=True)
        #print(up42.get_blocks(basic=True))
        input_tasks = ["Sentinel-2 L2A Visual (GeoTIFF)",
                       "Sharpening Filter"]
        workflow.add_workflow_tasks(input_tasks)
        
        # Define the aoi and input parameters of the workflow to run it.
        aoi = up42.get_example_aoi(as_dataframe=True)
        # Or use up42.draw_aoi(), up42.read_vector_file(), FeatureCollection, GeoDataFrame etc.
        input_parameters = workflow.construct_parameters(geometry=aoi, 
                                                         geometry_operation="bbox", 
                                                         start_date="2018-01-01",
                                                         end_date="2020-12-31",
                                                         limit=1)
        input_parameters["esa-s2-l2a-gtiff-visual:1"].update({"max_cloud_cover":5})
        
        # Price estimation
        workflow.estimate_job(input_parameters)
        
        # Run a test job to query data availability and check the configuration.
        test_job = workflow.test_job(input_parameters, track_status=True)
        
        # Run the actual job.
        job = workflow.run_job(input_parameters, track_status=True)
        
        job.download_results()
        job.plot_results(figsize=(6,6))
        ```
        
        ## Support
        
        For any kind of issues or suggestions please see the [**documentation**](https://sdk.up42.com/), open a **[github issue](https://github.com/up42/up42-py/issues)** or contact us via Email **[support@up42.com](mailto:support@up42.com)**
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Requires-Python: >=3.7, <=3.11
Description-Content-Type: text/markdown
