#!/usr/bin/python

import pandas as pd
import matplotlib.pyplot as plt, mpld3
from scipy.stats import linregress
import cgitb,cgi
cgitb.enable()

print("Content-type: text/html\n\n")
dados=pd.read_csv("leituras2020-01.csv")
# dat=dados.to_json("dados.json")

# print (dados)
temp=dados.temperatura
humi=dados.humidade

stats = linregress(temp,humi)  # retorna slope, intercept, rvalue, pvalue, e stderr
#print(stats)
#print(stats[0])
m = stats[0]        # slope
b = stats[1]      # intercept

plt.plot(temp,color="blue",label="temperatura")
plt.plot(humi,color="green",label="humidade")
# plt.plot(temp, m * temp + b, color="red",label="regressao")
# plt.legend();
plt.grid(True)
plt.axis('equal')
#plt.savefig("/var/www/html/estacao/grafico.png")
mpld3.show()
#print("<br><img src=grafico.png border=0>")