Metadata-Version: 2.1
Name: xepmts
Version: 0.4.2
Summary: Top-level package for xepmts.
Home-page: https://github.com/jmosbacher/xepmts
License: MIT
Author: Yossi Mosbacher
Author-email: joe.mosbacher@gmail.com
Requires-Python: >=3.7
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: click
Requires-Dist: eve_panel
Project-URL: Documentation, https://xepmts.readthedocs.io/
Description-Content-Type: text/x-rst

======
xepmts
======


.. image:: https://img.shields.io/pypi/v/xepmts.svg
        :target: https://pypi.python.org/pypi/xepmts

.. image:: https://img.shields.io/travis/jmosbacher/xepmts.svg
        :target: https://travis-ci.com/jmosbacher/xepmts

.. image:: https://readthedocs.org/projects/xepmts/badge/?version=latest
        :target: https://xepmts.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status

Basic usage::

        import xepmts

        # If you are using a notebook:
        xepmts.notebook()

        db = xepmts.default_client().db
        db.set_token('YOUR-API-TOKEN')

        # set the number of items to pull per page
        db.tpc.installs.items_per_page = 25

        # get the next page 
        page = db.tpc.installs.next_page()

        # iterate over pages:
        for page in db.tpc.installs.pages():
                df = page.df
                # do something with data

        # select only top array
        top_array = db.tpc.installs.filter(array="top")
        
        # iterate over top array pages
        for page in top_array.pages():
                df = page.df
                # do something with data

        query = dict(pmt_index=4)
        # get the first page of results for this query as a list of dictionaries
        docs = db.tpc.installs.find(query, max_results=25, page_number=1)

        # same as find, but returns a dataframe 
        df = db.tpc.installs.find_df(query)


        # insert documents into the database
        docs = [{"pmt_index": 1, "position_x": 0, "position_y": 0}]
        db.tpc.installs.insert_documents(docs)
    

* Free software: MIT
* Documentation: https://xepmts.readthedocs.io/


Features
--------

* TODO

Credits
-------

This package was created with Cookiecutter_ and the `briggySmalls/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`briggySmalls/cookiecutter-pypackage`: https://github.com/briggySmalls/cookiecutter-pypackage

