This project wraps the Earthchem web services to provide easy access to geochemical data from IEDA in ready-to-use format in your favourite PyData environment.
Maintainer: Jess Robertson (jesse.robertson at csiro.au)
| Service | master | develop |
|---|---|---|
| Test status |  |
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| Test coverage |  |
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Run this example in a live Jupyter notebook:
Say you wanted to know how many Archean-aged samples have been submitted to IEDA by your colleague named Dr S Barnes:
>>> import earthchem
>>> q = earthchem.Query(
author='barnes',
geologicalage='archean'
)
>>> q.count()876
Nice, let's take a look at the compositions of these
>>> df = q.dataframe(max_rows=500)
>>> df.head()Downloading pages: 100%|██████████| 10/10 [00:04<00:00, 2.24it/s]
Hmm looks like Dr Barnes is a bit of a komatiite expert
>>> fig = df.mgo.hist()
>>> fig.set_xlabel('MgO (wt %)')
>>> fig.set_ylabel('Sample count')
Maybe we'd like to see this as a ternary plot instead...
>>> earthchem.plot.ternaryplot(df, components=['mgo', 'al2o3', 'cao'])
Provided you have python installed, this library is just a pip install earthchem away.
If you don't have Python we recommend taking a look at the marvellous Anaconda distribution - just pick your relevant platform download from here.