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[[51.3724080241, -0.0991418093016],
 [51.3735938459, -0.0979575459402],
 [51.3760929581, -0.0984574616503],
 [51.3792517406, -0.101373059522],
 [51.3785814995, -0.103297530305],
 [51.3804435319, -0.105002557406],
 [51.3837723074, -0.108429081989],
 [51.3852700354, -0.109847701645],
 [51.3868990349, -0.111045335869],
 [51.3902831629, -0.112343246015],

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{'10813': [51.3760929581, -0.0984574616503],
 '1164': [51.4013254207, -0.118444497979],
 '1441': [51.3886330116, -0.111505659588],
 '14622': [51.4624163884, -0.11532824762],
 '15100': [51.4190123595, -0.127886565845],
 '15101': [51.4147954483, -0.123989076582],
 '15102': [51.4076438324, -0.121592866634],
 '15104': [51.4038783631, -0.11950429888],
 '15105': [51.4045826277, -0.119676700562],
 '15106': [51.3952345961, -0.114913800215],

groakat

['BP1549',
 'SL33',
 '10813',
 'R0852',
 'BP2000',
 '15112',
 '4417',
 '15110',
 '25866',
 '15108',

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def SpecGen(self, filepath):
        """
        Code to generate spectrogram adapted from code posted on https://mail.python.org/pipermail/chicago/2010-December/007314.html by Ken Schutte ([email protected])
        """

        sr, x = scipy.io.wavfile.read(filepath)
    
        ## Parameters
        nstep = int(sr * self.specNStepMod)
        nwin  = int(sr * self.specNWinMod)

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# The script MUST contain a function named azureml_main
# which is the entry point for this module.
#
# The entry point function can contain up to two input arguments:
#   Param<dataframe1>: a pandas.DataFrame
#   Param<dataframe2>: a pandas.DataFrame


def azureml_main(dataframe1 = None, dataframe2 = None):
    from scipy.fftpack import fft

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import scipy.io.wavfile
import pandas as pd

sound = scipy.io.wavfile.read('../data/day.wav')
pd.DataFrame(sound[1]).to_csv('../data/wav.csv', index=False, header=False)