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AECC
AECC is the air quality database maintained by SNU APCC.
Installation
To install aecc
,
pip install https://github.com/danielmsk/snuair/dist/aecc-0.0.1-py3-none-any.whl
pip install aecc
Prerequisite
- pandas (https://pandas.pydata.org/)
Getting Started
>>> import aecc
>>> aecc.download_key(file="~/user.key")
email: user@email.com
password: userpassword
>>> conn = aecc.connector()
>>> conn.all_regions
['','', '', '', '', ...
>>> conn.all_pollutants
['CO', '']
>>> conn.count_pollutants
{'CO': 323, 'NO': 25}
>>> r = conn.request(region="", from="2007-08-12", to="2020-09-15")
>>> r.download_to_file(path="data/raw.tsv", type="tsv")
>>> r.all_pollutants
['CO', '']
>>> r.count_pollutants
{'CO': 323, 'NO': 25}
>>> list1 = r.to_list()
>>> list1
[
{datetime:"2007-08-12", region="CN", CO2=25.3, },
{datetime:"2007-08-13", region="CN", CO2=25.3, },
]
>>> s1 = r.to_series()
>>> df1 = r.to_dataframe()
### upload data
>>> conn.dataupload(file="data/update.tsv", type="tsv")
>>> conn.close()
Sing-up and sign-in
Sign-up
>>> import aecc
>>> aecc.signup()
user email: user@email.com
user name: Tom
affiliation: snu
password: userpassword
Download token file
>>> aecc.download_token(file="~/user.aecctoken")
email: user@email.com
password: userpassword
Request Data
List Data
listing regions
>>> conn.all_regions
['','', '', '', '', ...
listing pollutants
>>> conn.all_regions
['','', '', '', '', ...
listing pmf results
>>> conn.list_pmf
['','', '', '', '', ...
Print statistics
>>> conn.stat
>>> conn.stat_regions
>>> r.stat
Download Data
>>> r.download_to_file(path="data/raw.csv", type="csv")
>>> r.download_to_file(path="data/raw.xlsx", type="xlsx")
Upload Data
This uploading data function is for the users that have permission to upload data. If you don't have permission to upload data, please contact the admin.
from file
When the excel file has two sheets, the sheet name should include 'conc_' or 'unc_'. 'conc_' means concentration and 'unc_' means uncertainty.
>>> conn.upload_from_file(file="data/raw_unc.tsv", filetype="raw", datatype="unc", region="GJ")
>>> conn.upload_from_file(file="data/raw_unc.tsv", filetype="raw", datatype="unc", region="GJ", update_force=True)
>>> conn.upload_from_file(file="data/raw_conc.tsv", filetype="raw", datatype="conc", region="GJ")
>>> conn.upload_from_file(file="data/raw.xlsx", filetype="raw")
>>> conn.upload_from_file(file="data/test_Constrained.xls", filetype="pmf", title="2019_Seoul")
Adminitstration
Version History
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