hortonworks/fieldeng-pyscythe

Name: fieldeng-pyscythe

Owner: Hortonworks Inc

Description: Python Time Series Library

Created: 2017-07-19 23:08:57.0

Updated: 2017-11-02 20:14:37.0

Pushed: 2017-12-01 21:59:36.0

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Size: 24

Language: Python

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fieldeng-pyscythe

Interpolation

For input df:

function,time,value sig1Raw, 2017-04-01 12:00, 0.0 sig1Raw, 2017-04-01 12:01, 0.5 sig1Raw, 2017-04-01 12:02, 1.0 sig1Raw, 2017-04-01 12:03, 0.5 sig1Raw, 2017-04-01 12:04, 1.0 sig1Raw, 2017-04-01 12:05, 0.0 sig1Raw, 2017-04-01 12:06, 0.5 sig1Raw, 2017-04-01 12:07, 1.0 sig1Raw, 2017-04-01 12:09, 1.0 sig1Raw, 2017-04-01 12:10, 1.0 sig1Raw, 2017-04-01 12:11, 1.0 sig1Raw, 2017-04-01 12:12, 5.0 sig2Raw, 2017-04-01 12:00, 2.0 sig2Raw, 2017-04-01 12:05, 4.0 sig2Raw, 2017-04-01 12:06, 3.0 sig2Raw, 2017-04-01 12:12, 2.0

list = ['sig1Raw','sig2Raw']

interpolate('sig1Raw', list, 'function', df)

{'sig1Raw': [[['sig1Raw', Timestamp('2017-04-01 12:00:00'), 0.0]], [['sig1Raw', Timestamp('2017-04-01 12:01:00'), 0.5]], [['sig1Raw', Timestamp('2017-04-01 12:02:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:03:00'), 0.5]], [['sig1Raw', Timestamp('2017-04-01 12:04:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:05:00'), 0.0]], [['sig1Raw', Timestamp('2017-04-01 12:06:00'), 0.5]], [['sig1Raw', Timestamp('2017-04-01 12:07:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:08:00'), 0.5]], [['sig1Raw', Timestamp('2017-04-01 12:09:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:10:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:11:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:12:00'), 5.0]]], 'sig2Raw': [[['sig2Raw', Timestamp('2017-04-01 12:00:00'), 2.0]], [['sig2Raw', Timestamp('2017-04-01 12:01:00'), 2.4]], [['sig2Raw', Timestamp('2017-04-01 12:02:00'), 2.8]], [['sig2Raw', Timestamp('2017-04-01 12:03:00'), 3.2]], [['sig2Raw', Timestamp('2017-04-01 12:04:00'), 3.6]], [['sig2Raw', Timestamp('2017-04-01 12:05:00'), 4.0]], [['sig2Raw', Timestamp('2017-04-01 12:06:00'), 3.0]], [['sig2Raw', Timestamp('2017-04-01 12:07:00'), 2.8333333333333335]], [['sig2Raw', Timestamp('2017-04-01 12:08:00'), 2.6666666666666665]], [['sig2Raw', Timestamp('2017-04-01 12:09:00'), 2.5]], [['sig2Raw', Timestamp('2017-04-01 12:10:00'), 2.3333333333333335]], [['sig2Raw', Timestamp('2017-04-01 12:11:00'), 2.166666666666667]], [['sig2Raw', Timestamp('2017-04-01 12:12:00'), 2.0]]]}

[[['sig1Raw', Timestamp('2017-04-01 12:00:00'), 0.0]], [['sig1Raw', Timestamp('2017-04-01 12:01:00'), 0.5]], [['sig1Raw', Timestamp('2017-04-01 12:02:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:03:00'), 0.5]], [['sig1Raw', Timestamp('2017-04-01 12:04:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:05:00'), 0.0]], [['sig1Raw', Timestamp('2017-04-01 12:06:00'), 0.5]], [['sig1Raw', Timestamp('2017-04-01 12:07:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:08:00'), 0.5]], [['sig1Raw', Timestamp('2017-04-01 12:09:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:10:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:11:00'), 1.0]], [['sig1Raw', Timestamp('2017-04-01 12:12:00'), 5.0]]]

[['sig1Raw', Timestamp('2017-04-01 12:00:00'), 0.0]] [['sig1Raw', Timestamp('2017-04-01 12:01:00'), 0.5]] [['sig1Raw', Timestamp('2017-04-01 12:02:00'), 1.0]] [['sig1Raw', Timestamp('2017-04-01 12:03:00'), 0.5]] [['sig1Raw', Timestamp('2017-04-01 12:04:00'), 1.0]] [['sig1Raw', Timestamp('2017-04-01 12:05:00'), 0.0]] [['sig1Raw', Timestamp('2017-04-01 12:06:00'), 0.5]] [['sig1Raw', Timestamp('2017-04-01 12:07:00'), 1.0]] [['sig1Raw', Timestamp('2017-04-01 12:08:00'), 0.5]] [['sig1Raw', Timestamp('2017-04-01 12:09:00'), 1.0]] [['sig1Raw', Timestamp('2017-04-01 12:10:00'), 1.0]] [['sig1Raw', Timestamp('2017-04-01 12:11:00'), 1.0]] [['sig1Raw', Timestamp('2017-04-01 12:12:00'), 5.0]]

[[['sig2Raw', Timestamp('2017-04-01 12:00:00'), 2.0]], [['sig2Raw', Timestamp('2017-04-01 12:01:00'), 2.4]], [['sig2Raw', Timestamp('2017-04-01 12:02:00'), 2.8]], [['sig2Raw', Timestamp('2017-04-01 12:03:00'), 3.2]], [['sig2Raw', Timestamp('2017-04-01 12:04:00'), 3.6]], [['sig2Raw', Timestamp('2017-04-01 12:05:00'), 4.0]], [['sig2Raw', Timestamp('2017-04-01 12:06:00'), 3.0]], [['sig2Raw', Timestamp('2017-04-01 12:07:00'), 2.8333333333333335]], [['sig2Raw', Timestamp('2017-04-01 12:08:00'), 2.6666666666666665]], [['sig2Raw', Timestamp('2017-04-01 12:09:00'), 2.5]], [['sig2Raw', Timestamp('2017-04-01 12:10:00'), 2.3333333333333335]], [['sig2Raw', Timestamp('2017-04-01 12:11:00'), 2.166666666666667]], [['sig2Raw', Timestamp('2017-04-01 12:12:00'), 2.0]]]

[['sig2Raw', Timestamp('2017-04-01 12:00:00'), 2.0]] [['sig2Raw', Timestamp('2017-04-01 12:01:00'), 2.4]] [['sig2Raw', Timestamp('2017-04-01 12:02:00'), 2.8]] [['sig2Raw', Timestamp('2017-04-01 12:03:00'), 3.2]] [['sig2Raw', Timestamp('2017-04-01 12:04:00'), 3.6]] [['sig2Raw', Timestamp('2017-04-01 12:05:00'), 4.0]] [['sig2Raw', Timestamp('2017-04-01 12:06:00'), 3.0]] [['sig2Raw', Timestamp('2017-04-01 12:07:00'), 2.8333333333333335]] [['sig2Raw', Timestamp('2017-04-01 12:08:00'), 2.6666666666666665]] [['sig2Raw', Timestamp('2017-04-01 12:09:00'), 2.5]] [['sig2Raw', Timestamp('2017-04-01 12:10:00'), 2.3333333333333335]] [['sig2Raw', Timestamp('2017-04-01 12:11:00'), 2.166666666666667]] [['sig2Raw', Timestamp('2017-04-01 12:12:00'), 2.0]]

sig2 interpolated values: [2.0, 2.4, 2.8, 3.2, 3.6, 4.0, 3.0, 2.8333333333333335, 2.6666666666666665, 2.5, 2.3333333333333335, 2.166666666666667, 2.0]

Testing

test.py will use testDataSample to execute interpolation tests.

testSig1, testSig2, testSig3 are example inputs.

This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.