46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
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import pandas as pd
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ammonia = pd.read_excel(snakemake.input.usgs,
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sheet_name="T12",
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skiprows=5,
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header=0,
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index_col=0,
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skipfooter=19)
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rename = {"Austriae" : "AT",
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"Bulgaria" : "BG",
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"Belgiume" : "BE",
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"Croatia" : "HR",
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"Czechia" : "CZ",
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"Estonia" : "EE",
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"Finland" : "FI",
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"France" : "FR",
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"Germany" : "DE",
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"Greece" : "GR",
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"Hungarye" : "HU",
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"Italye" : "IT",
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"Lithuania" : "LT",
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"Netherlands" : "NL",
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"Norwaye" : "NO",
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"Poland" : "PL",
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"Romania" : "RO",
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"Serbia" : "RS",
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"Slovakia" : "SK",
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"Spain" : "ES",
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"Switzerland" : "CH",
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"United Kingdom" : "GB",
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}
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ammonia = ammonia.rename(rename)
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ammonia = ammonia.loc[rename.values(),[str(i) for i in range(2013,2018)]].astype(float)
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#convert from ktonN to ktonNH3
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ammonia = ammonia*17/14
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ammonia.index.name = "ktonNH3/a"
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ammonia.to_csv(snakemake.output.ammonia_production)
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