ampli/py/clustering.py

from util import getQuery
import pandas as p
import matplotlib.pyplot as plt
import seaborn as sns


# query = """
# SELECT *, read_date + CONCAT(period / 2, ':', period %% 2 * 30, ':00')::time AS read_time
# FROM public.coup_tall_april WHERE icp_id LIKE (%s) AND read_date = to_date(%s, 'dd/mm/yyyy') 
# ORDER BY icp_id, read_time;
# """
# 
# qparams = ['%%1117', '20/04/2017']

query = """
SELECT read_date, period, AVG(kwh_tot) AS average
FROM public.coup_tall_april
GROUP BY read_date, period
ORDER BY read_date, period;
"""

qparams = []

df = getQuery(query, qparams)

print(df.info())

sns.set()

#sns.lineplot(x = 'read_time', y = 'kwh_tot', hue = 'icp_id', data = df)
sns.lineplot(x = 'period', y = 'average', hue = 'read_date', data = df)

plt.show()