In [1]:
import csv, sqlite3
import os.path
In [2]:
con = sqlite3.connect("cems.db")
cur = con.cursor()
In [4]:
cur.execute('drop table if exists labels;')
cur.execute(
"create table labels( \
state varchar, \
facility_name varchar, \
orispl_code int, \
unitid varchar, \
year int, \
county varhcar, \
county_code varchar, \
latitude float, \
longitude float, \
owner varchar, \
operator varchar, \
representative_primary varchar, \
representative_second varchar, \
unit_type varchar, \
fuel_type varchar, \
fule_type_secondary varchar, \
max_hourly_rate float, \
PRIMARY KEY(orispl_code, unitid, year) \
);")
Out[4]:
In [12]:
with open('facility_06-23-2017_144111628.csv', 'rb') as fin:
dr = csv.DictReader(fin)
to_db = [(i['State'], i[' Facility Name'], i[' Facility ID (ORISPL)'], i[' Unit ID'], i[' Year'], i[' County'], i[' County Code'],
i[' Facility Latitude'], i[' Facility Longitude'], i[' Owner'], i[' Operator'], i[' Representative (Primary)'],
i[' Representative (Secondary)'], i[' Unit Type'], i[' Fuel Type (Primary)'], i[' Fuel Type (Secondary)'],
i[' Max Hourly HI Rate (MMBtu/hr)']) for i in dr]
cur.executemany("insert into labels ( state, facility_name, orispl_code, unitid, year, \
county, county_code, latitude, longitude, owner, operator, representative_primary, representative_second, \
fuel_type, fule_type_secondary, max_hourly_rate \
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?);", to_db)
con.commit()
In [ ]: