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        "author": "Jess Robertson",
        "author_email": "jesse.robertson@csiro.au",
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            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "Natural Language :: English",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Internet",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "# Earthchem & PyData\n\n[![PyPI](https://img.shields.io/pypi/v/earthchem.svg)](https://pypi.python.org/pypi/earthchem/)\n[![GitHub license](https://img.shields.io/github/license/jesserobertson/earthchem-pyclient.svg)](https://github.com/jesserobertson/earthchem-pyclient/blob/master/LICENSE.txt)\n\nThis project wraps the Earthchem web services to provide easy access to geochemical data from [IEDA](https://www.iedadata.org/) in ready-to-use format in your favourite PyData environment.\n\nMaintainer: Jess Robertson (jesse.robertson _at_ csiro.au)\n\n| **Service** | **master** | **develop** |\n| ----------- |:----------:|:-----------:|\n| Test status | [![Build Status](https://travis-ci.org/jesserobertson/earthchem-pyclient.svg?branch=master)](https://travis-ci.org/jesserobertson/earthchem-pyclient) | [![Build Status](https://travis-ci.org/jesserobertson/earthchem-pyclient.svg?branch=develop)](https://travis-ci.org/jesserobertson/earthchem-pyclient) |\n| Test coverage | [![Codecov branch](https://img.shields.io/codecov/c/github/jesserobertson/earthchem-pyclient/master.svg)](https://codecov.io/gh/jesserobertson/earthchem-pyclient/branch/master) | [![Codecov branch](https://img.shields.io/codecov/c/github/jesserobertson/earthchem-pyclient/develop.svg)](https://codecov.io/gh/jesserobertson/earthchem-pyclient/branch/develop) |\n\n### So why would I want to use this?\n\nSay you wanted to know how many Archean-aged samples have been submitted to IEDA by your colleague named Dr S Barnes:\n\n```python\n>>> import earthchem\n>>> q = earthchem.Query(\n        author='barnes',\n        geologicalage='archean'\n    )\n>>> q.count()\n```\n```\n876\n```\n\nNice, let's take a look at the compositions of these\n\n```python\n>>> df = q.dataframe()\n>>> df.head()\n```\n```\nDownloading pages: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 18/18 [00:29<00:00,  1.66s/it]\n```\n\n![Table output](https://github.com/jesserobertson/earthchem-pyclient/raw/develop/docs/resources/table_output.png)\n\nHmm looks like Dr Barnes is a bit of a komatiite expert\n\n```python\n>>> fig = df.mgo.hist()\n>>> fig.set_xlabel('MgO (wt %)')\n>>> fig.set_ylabel('Sample count')\n```\n\n![Plot output](https://github.com/jesserobertson/earthchem-pyclient/raw/develop/docs/resources/mgo.png)\n\nMaybe we'd like to see this as a ternary plot instead...\n\n```python\n>>> earthchem.plot.ternaryplot(df, components=['mgo', 'al2o3', 'cao'])\n```\n\n![Plot output](https://github.com/jesserobertson/earthchem-pyclient/raw/develop/docs/resources/ternary.png)\n\nIf spiderplots are more your thing we have you covered too (although we have to make up some data for this one...): \n\n```python\n>>> reels = ec.geochem.REE(output='string')\n>>> df = pd.DataFrame({k: v for k,v in zip(reels, np.random.rand(len(reels), 2))})\n>>> ec.plot.spiderplot(df)\n```\n\n![Plot output](https://github.com/jesserobertson/earthchem-pyclient/raw/develop/docs/resources/reels.png)\n\n### Great, I'm sold. How do I get it?\n\nProvided you have python installed, this library is just a `pip install earthchem` away. \n\nIf you don't have Python we recommend taking a look at the marvellous [Anaconda distribution](https://www.anaconda.com/) - just pick your relevant platform download [from here](https://www.anaconda.com/download/).\n\n",
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