research_parser.py

#!/usr/bin/env python
import numpy as np
import pandas as pd

import data_generator as dg

def reduce_data():

    result = []
    for day in dg.group_data():
        location_result = []
        for location in day:
            channel_result = []
            for channel in location:
                channel_result.append(channel.rssi)
            location_result.append(channel_result)
        result.append(location_result)

    return result

def group_data_by_day(reduce_data):
    all_group_data = []

    for j in xrange(58):
        group_data = []
        for i in xrange(30):
            group_data.append(reduce_data[i][j])
        s = pd.DataFrame(group_data, columns=dg.all_fq, index=pd.date_range('8/9/2014', periods=30))
        all_group_data.append(s)

    return all_group_data