Metadata-Version: 2.1
Name: qri
Version: 0.1.5
Summary: qri python client
Home-page: https://github.com/qri-io/qri-python
Author: Dustin Long
Author-email: dustmop@qri.io
License: UNKNOWN
Description: # qri-python
        
        ```
         ██████╗ ██████╗ ██╗
        ██╔═══██╗██╔══██╗██║
        ██║   ██║██████╔╝██║
        ██║▄▄ ██║██╔══██╗██║
        ╚██████╔╝██║  ██║██║
         ╚══▀▀═╝ ╚═╝  ╚═╝╚═╝
        ```
        
        Python client for qri ("query")
        
        
        # Installation
        
        ```
        pip install qri
        ```
        
        # About
        
        Python wrapper to enable usage of [qri](https://qri.io/), the dataset toolchain. Can
        either use a locally installed qri command-line program to work with your local repository,
        or can directly get datasets from the [Qri Cloud](https://qri.cloud).
        
        Dataset objects returned by this library have the components that exist in the
        [standard qri model](https://qri.io/docs/dataset-components/overview). The body is returned
        as a Pandas DataFrame in order to easily integrate with other data science systems, like
        Jupyter Notebook.
        
        # Usage
        
        The following examples assume you have the latest release of the qri command-line client
        installed. You can get this from https://github.com/qri-io/qri/releases
        
        ```
        import qri
        ```
        
        ```
        # Pull a dataset from cloud and add it to your repository
        $ qri.pull("b5/world_bank_population")
        ```
        > Fetching from registry...
        >
        > "Added b5/world_bank_population: ..."
        
        ```
        # List datasets in your repository
        $ qri.list()
        ```
        > [Dataset("b5/world_bank_population")]
        
        ```
        # Get that single dataset as a variable
        $ d = qri.get("b5/world_bank_population")
        ```
        
        ```
        # Look at metadata description
        $ d.meta.description
        ```
        > ( 1 ) United Nations Population Division. World Population Prospects: 2017 Revision...
        
        ```
        # Get the dataset body as a pandas DataFrame
        $ d.body
        ```
        > `.   country_name  country_code   indicator_name    ...`
        >
        > `0   Afghanistan   AFG            Population, total ...`
        > 
        > `...`
        
        TODO: Save changes
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
