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add: fridges view, fridge+sensor class, plot function, generator for test data

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Bernhard Stampfer
2016-05-07 20:48:31 +02:00
parent fba306db5a
commit d124755c88
6 changed files with 193 additions and 19 deletions
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app/gen_test_data_temperature.py Normal file
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import numpy as np
import datetime as dt
import pandas as pa
import ipdb
testdata = np.empty((14400, 7), dtype=object)
#ipdb.set_trace()
for n, line in enumerate(reversed(testdata)):
a = (dt.datetime.now() - dt.timedelta(seconds=(300*n)))
line[0] = a
line[1] = np.sin(2.0 * np.pi *20.0 / 14400 * n) * 5 + np.sin(2.0 * np.pi * 2.0 / 14400 * n) * 1.4 + 10
line[2] = np.sin(2.0 * np.pi *20.0 / 14400 * n) * 4 + np.sin(2.0 * np.pi * 2.0 / 14400 * n) * 1.4 + 13
line[3] = np.sin(2.0 * np.pi *20.0 / 14400 * n) * 3 + np.sin(2.0 * np.pi * 2.0 / 14400 * n) * 1.4 + 15
line[4] = np.sin(2.0 * np.pi *30.0 / 14400 * n) * 5 + np.sin(2.0 * np.pi * 3.5 / 14400 * n) * 1 + 10
line[5] = np.sin(2.0 * np.pi *30.0 / 14400 * n) * 4 + np.sin(2.0 * np.pi * 3.5 / 14400 * n) * 1 + 13
line[6] = np.sin(2.0 * np.pi *30.0 / 14400 * n) * 3 + np.sin(2.0 * np.pi * 3.5 / 14400 * n) * 1 + 15
pdata = pa.DataFrame.from_records(testdata,columns=("time","1","2","3","4","5","6"))
print pdata
pdata.to_csv("static/testdata.csv", index=False)
#np.savetxt("static/testdata.csv", testdata)
readdata = pa.read_csv("static/testdata.csv")
print readdata