Py-NEONutilities

This project is a heavy work in progress to write a native python wrapper for the NEON data platform. It aims to provide the functionality of the NEONutilities R package without the overhead of having to manage rpy.

Installation

You can install this package from pypi with pip install py-neonUtils

Please see the pypi branch for downloads.

Usage:

Observational Data

from neonUtilities.NeonObservational import NeonObservational
import pandas as pd

neonobj = NeonObservational(dpID="DP1.10003.001", site=["WOOD"], dates=["2015-07",["2017-07","2017-12"]], package="basic")
#Download data from 2015-07 and the range of 2017-07 to 2017-12.

neonobj.download()
neonobj.stackByTable()
df = neonobj.to_pandas()

Instrumental Data

from neonUtilities.NeonObservational import NeonObservational
import pandas as pd

neonobj = NeonInstrumental(dpID="DP1.10003.001", site=["WOOD"], dates=["2015-07",["2017-07","2017-12"]], avg=30, package="basic")

neonobj.download()
neonobj.stackByTable()
df = neonobj.to_pandas()

This module offers a lot of flexibility with month-chunk downloads. You can provide:

1. A single string to download that chunk for all sites
2. A list of strings to download those chunks for all sites
3. Either a nested list or a nested tuple of dates to download that range inclusive,inclusive
4. Any combination of 2 and 3
5. A dictionary with sites as keys and number any date definition above to download different month chunks for different sites.

Progress

• Observational data
  • Download data zips
  • Table stacking
  • Support for READMEs, EML and variables files
• Instrumental data
  • Download specific average intervals
• AOP data
• EC data
• Taxon data manip
• API token
• package for pypi (check the pypi branch)