aecc

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

• Administration Manual

Version History

• Version History