notebook.community

Edit and run

Date: 2016-10-06





In [3]:



    


%matplotlib inline
%reload_ext autoreload
%autoreload 2
%qtconsole
import os
import sys
import collections
import random
import itertools
import functools
import scipy.fftpack
import scipy.signal
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as clr
import matplotlib.patches as patches
import seaborn as sns
import pandas as pd
import tqdm
import dask
import dask.multiprocessing

sys.path.append('../src/')
import data_processing
import ripple_detection
import spectral



    











In [4]:



    


Animal = collections.namedtuple('Animal', {'directory', 'short_name'})
num_days = 8
days = range(1, num_days + 1)
animals = {'HPa': Animal(directory='HPa_direct', short_name='HPa'),
           'HPc': Animal(directory='HPc_direct', short_name='HPc')}

epoch_info = data_processing.make_epochs_dataframe(animals, days)
tetrode_info = data_processing.make_tetrode_dataframe(animals)
epoch_index = (epoch_info
    .loc[(['HPa', 'HPc'], [8]), :]
    .loc[epoch_info.environment == 'wtr1'].index)



    


















    






[                                    area  depth descrip  numcells tetrode_id
animal day epoch_ind tetrode_number                                         
HPa    8   2         1               CA1    113  riptet        12     HPa821
                     2               CA1    121     NaN         0     HPa822
                     3               CA1     90  CA1Ref         0     HPa823
                     4               CA1    116  riptet        15     HPa824
                     5               CA1    116  riptet         0     HPa825
                     6               CA1    110  riptet         0     HPa826
                     7               CA1    114  riptet         0     HPa827
                     15              PFC     93     NaN         0    HPa8215
                     16              PFC     90     NaN         0    HPa8216
                     17              PFC     90     NaN         6    HPa8217
                     18              PFC     90     NaN         0    HPa8218
                     19              PFC    130     NaN         0    HPa8219
                     20              PFC    109     NaN         0    HPa8220,                                     area  depth descrip  numcells tetrode_id
animal day epoch_ind tetrode_number                                         
HPc    8   2         1               CA1    108  riptet         0     HPc821
                     2               CA1    100  riptet         1     HPc822
                     3               CA1     91  riptet         5     HPc823
                     4               CA1    104  riptet         0     HPc824
                     5               CA1     96  riptet         0     HPc825
                     6               CA1    106  riptet         3     HPc826
                     7               CA1     84  CA1Ref         0     HPc827
                     8               PFC     65     NaN         0     HPc828
                     9               PFC     60     NaN         0     HPc829
                     10              PFC     57     NaN         0    HPc8210
                     11              PFC     98     NaN         0    HPc8211
                     12              PFC    102     NaN         0    HPc8212
                     13              PFC     45  PFCRef         0    HPc8213
                     14              PFC     66     NaN         0    HPc8214
                     15              PFC     71     NaN         7    HPc8215
                     16              PFC    104     NaN         1    HPc8216]

















In [5]:



    


def combine_tetrode_pair(tetrode1, tetrode2):
    return pd.concat([tetrode1, tetrode2], axis=0, keys=['tetrode1', 'tetrode2'])


def epoch_pairs(tetrode_info):
    return pd.concat([combine_tetrode_pair(tetrode_info.loc[ind1, :], tetrode_info.loc[ind2, :])
                      for ind1, ind2 in itertools.combinations(tetrode_info.index, 2)], axis=1).transpose()


def get_pair_index(df, tetrode1_id, tetrode2_id):
    return df[(df.loc[:, 'tetrode1'].tetrode_id == tetrode1_id) &
           (df.loc[:, 'tetrode2'].tetrode_id == tetrode2_id)].index.values


def plot_CA1_PFC_coherence(coherence, tetrode_info, tetrode_pair_info, epoch, window_of_interest):
    CA1_tetrodes = tetrode_info.query('area == "CA1"')
    PFC_tetrodes = tetrode_info.query('area == "PFC"')

    num_rows = len(CA1_tetrodes)
    num_cols = len(PFC_tetrodes)

    fig, axes = plt.subplots(num_rows, num_cols, figsize=(12,9), sharex=True, sharey=True)

    for row_ind, CA1_tetrode_id in enumerate(CA1_tetrodes.tetrode_id):
        for col_ind, PFC_tetrode_id in enumerate(PFC_tetrodes.tetrode_id):
            pair_ind = get_pair_index(tetrode_pair_info, CA1_tetrode_id, PFC_tetrode_id)
            mesh = spectral.plot_coherogram(coherence[pair_ind],
                                     vmin=-0.2,
                                     vmax=0.2,
                                     cmap='RdBu_r',
                                     axis_handle=axes[row_ind, col_ind])
            axes[row_ind, col_ind].axvline(0, color='black', linestyle=':')
            axes[row_ind, col_ind].set_xticks([window_of_interest[0], 0, window_of_interest[1]])

    axes[-1, 0].set_xlabel('Time (seconds)')
    axes[-1, 0].set_ylabel('Frequency (Hz)')
    axes[0, -1].set_title('PFC tetrodes →', fontweight='bold')
    axes[0, 0].set_ylabel('← CA1 tetrodes', fontweight='bold')
    plt.colorbar(mesh, ax=axes.ravel().tolist(), orientation='horizontal',
                 fraction=0.03, pad=0.1, label='Change in coherence due to ripple')
    plt.suptitle('Animal {0}, Day {1}, Epoch {2}'.format(*epoch), fontsize=18)

High Frequency Coherence (100 - 300 Hz)

frequency resolution = time halfbandwidth / time window duration = 2 / 0.080 = 25 Hz





In [9]:



    


high_frequency_params = dict(
    baseline_window=(-0.250, 0),
    window_of_interest=(-0.240, .240),
    sampling_frequency=1500,
    time_window_duration=0.080,
    time_window_step=0.080,
    desired_frequencies=[100, 300],
    time_halfbandwidth_product=2
)

for epoch in tqdm.tqdm_notebook(epoch_index, desc='epochs'):
    cur_tetrode_info = tetrode_info[epoch][tetrode_info[epoch].area.isin(['PFC', 'CA1'])]
    lfps = list(data_processing.get_LFP_data(cur_tetrode_info.index, animals).values())
    ripple_times = ripple_detection.get_epoch_ripples(
        epoch, animals, sampling_frequency=1500, ripple_detection_function=ripple_detection.Kay_method)
    coherence = [spectral.difference_from_baseline_coherence(
            [lfp1, lfp2], ripple_times, **high_frequency_params)
                 for lfp1, lfp2 in itertools.combinations(lfps, 2)]
    tetrode_pair_info = epoch_pairs(cur_tetrode_info)
    plot_CA1_PFC_coherence(coherence, cur_tetrode_info, tetrode_pair_info, epoch,
                           high_frequency_params['window_of_interest'])



    


















    






/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/ipykernel/__main__.py:27: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/ipykernel/__main__.py:27: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future










    















    

















    
































Gamma Frequencies (20 - 100 Hz)
frequency resolution = 3 / 0.600 = 5 Hz
















In [8]:



    


gamma_frequency_params = dict(
    sampling_frequency=1500,
    time_window_duration=0.600,
    time_window_step=0.600,
    desired_frequencies=[20, 100],
    time_halfbandwidth_product=3,
    baseline_window=(-1.800, 0.000),
    window_of_interest=(-1.800, 1.800)
)

for epoch in tqdm.tqdm_notebook(epoch_index, desc='epochs'):
    cur_tetrode_info = tetrode_info[epoch][tetrode_info[epoch].area.isin(['PFC', 'CA1'])]
    lfps = list(data_processing.get_LFP_data(cur_tetrode_info.index, animals).values())
    ripple_times = ripple_detection.get_epoch_ripples(
        epoch, animals, sampling_frequency=1500, ripple_detection_function=ripple_detection.Kay_method)
    coherence = [spectral.difference_from_baseline_coherence(
            [lfp1, lfp2], ripple_times, **gamma_frequency_params)
                 for lfp1, lfp2 in itertools.combinations(lfps, 2)]
    tetrode_pair_info = epoch_pairs(cur_tetrode_info)
    plot_CA1_PFC_coherence(coherence, cur_tetrode_info, tetrode_pair_info,
                           epoch, gamma_frequency_parms['window_of_interest'])



    


















    






/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/ipykernel/__main__.py:27: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/ipykernel/__main__.py:27: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future










    















    

















    
































Low Frequencies (3 - 20 Hz)
frequency resolution = 3 / 3 = 1 Hz
















In [9]:



    


low_frequency_params = dict(
    sampling_frequency=1500,
    time_window_duration=3.000,
    time_window_step=3.000,
    desired_frequencies=[3, 20],
    time_halfbandwidth_product=3,
    baseline_window=(-6.000, 0.000),
    window_of_interest=(-6.000, 6.000)
)

for epoch in tqdm.tqdm_notebook(epoch_index, desc='epochs'):
    cur_tetrode_info = tetrode_info[epoch][tetrode_info[epoch].area.isin(['PFC', 'CA1'])]
    lfps = list(data_processing.get_LFP_data(cur_tetrode_info.index, animals).values())
    ripple_times = ripple_detection.get_epoch_ripples(
        epoch, animals, sampling_frequency=1500, ripple_detection_function=ripple_detection.Kay_method)
    coherence = [spectral.difference_from_baseline_coherence(
            [lfp1, lfp2], ripple_times, **low_frequency_params)
                 for lfp1, lfp2 in itertools.combinations(lfps, 2)]
    tetrode_pair_info = epoch_pairs(cur_tetrode_info)
    plot_CA1_PFC_coherence(coherence, cur_tetrode_info, tetrode_pair_info,
                           epoch, low_frequency_params['window_of_interest'])



    


















    






/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/ipykernel/__main__.py:27: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/numpy/lib/nanfunctions.py:703: RuntimeWarning: Mean of empty slice
  warnings.warn("Mean of empty slice", RuntimeWarning)
/Users/edeno/anaconda3/envs/Jadhav-2016-Data-Analysis/lib/python3.5/site-packages/ipykernel/__main__.py:27: VisibleDeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future










    















    

















    
































Ripple Triggered Averages
















In [11]:



    


sampling_frequency = 1500
window_of_interest = (-3.000, 3.000)
for epoch in tqdm.tqdm_notebook(epoch_index, desc='epochs'):
    cur_tetrode_info = tetrode_info[epoch][tetrode_info[epoch].area.isin(['PFC', 'CA1'])]
    lfps = list(data_processing.get_LFP_data(cur_tetrode_info.index, animals).values())
    ripple_times = ripple_detection.get_epoch_ripples(
        epoch, animals, sampling_frequency=1500, ripple_detection_function=ripple_detection.Kay_method)
    time_of_interest_lfp_segments = list(data_processing.reshape_to_segments(
            lfps, ripple_times, window_offset=window_of_interest, concat_axis=1))

    ripple_triggered_average = [lfp.mean(axis=1) for lfp in time_of_interest_lfp_segments]
    num_lfps = len(ripple_triggered_average)

    fig, axis_handles = plt.subplots(num_lfps, 1, figsize=(12, 9), sharex=True)

    # LFP
    for ind in range(0, num_lfps):
        ripple_triggered_average[ind].plot(ax=axis_handles[ind], legend=False)
        axis_handles[ind].axvline(0, color='black', linestyle=':')
        axis_handles[ind].set_ylim((ripple_triggered_average[ind].min(),
                                    ripple_triggered_average[ind].max()))
        axis_handles[ind].set_ylabel(spectral.tetrode_title(cur_tetrode_info.index[ind], cur_tetrode_info),
                                     horizontalalignment='right',
                                     rotation='horizontal')



    


















    















    

















    
































In [ ]:



    






    



















Ripple Times Spectrum
















In [4]:



    


params = dict(
    sampling_frequency=1500,
    time_halfbandwidth_product=12,
)

def convert_ripple_times_to_dataframe(ripple_times, index):
    return (pd.DataFrame({'time': np.array(ripple_times)[:, 0], 'is_ripple': 1})
              .set_index('time')
              .reindex(index=index.values,
                       tolerance=1E-4,
                       method='nearest',
                       fill_value=0))

ripple_psd = [spectral.multitaper_power_spectral_density(
                convert_ripple_times_to_dataframe(epoch_ripple_times, epoch_lfps[0].index), **params)
              for epoch_lfps, epoch_ripple_times
              in zip(lfp_data, ripple_times)]

print(ripple_psd)



    


















    






[                   power
frequency               
0.000000    2.352191e-07
0.000715    2.325216e-07
0.001431    2.278406e-07
0.002146    2.292224e-07
0.002861    2.198750e-07
0.003576    2.145584e-07
0.004292    2.147742e-07
0.005007    2.126602e-07
0.005722    2.011928e-07
0.006437    1.997727e-07
0.007153    1.922062e-07
0.007868    1.912100e-07
0.008583    1.372965e-07
0.009298    1.277081e-07
0.010014    1.270567e-07
0.010729    1.262861e-07
0.011444    7.367097e-08
0.012159    6.094440e-08
0.012875    5.744894e-08
0.013590    5.558377e-08
0.014305    4.381204e-08
0.015020    4.263989e-08
0.015736    3.935854e-08
0.016451    3.931224e-08
0.017166    2.649375e-08
0.017881    2.788710e-08
0.018597    2.503469e-08
0.019312    2.598572e-08
0.020027    2.306702e-08
0.020742    2.411544e-08
...                  ...
749.979258  3.494920e-08
749.979973  3.877868e-08
749.980688  3.819245e-08
749.981403  4.104216e-08
749.982119  4.201218e-08
749.982834  4.452750e-08
749.983549  4.224576e-08
749.984264  4.376202e-08
749.984980  4.323202e-08
749.985695  4.931239e-08
749.986410  4.931890e-08
749.987125  5.438778e-08
749.987841  5.226618e-08
749.988556  5.284801e-08
749.989271  5.016998e-08
749.989986  5.413007e-08
749.990702  5.604374e-08
749.991417  5.587019e-08
749.992132  5.614401e-08
749.992847  5.558371e-08
749.993563  5.588416e-08
749.994278  5.622730e-08
749.994993  5.491037e-08
749.995708  5.973863e-08
749.996424  5.896332e-08
749.997139  6.192042e-08
749.997854  6.234271e-08
749.998569  6.618667e-08
749.999285  6.778569e-08
750.000000  5.844621e-08

[1048577 rows x 1 columns],                    power
frequency               
0.000000    9.723045e-08
0.000715    9.767366e-08
0.001431    9.828347e-08
0.002146    9.736805e-08
0.002861    9.714646e-08
0.003576    9.485884e-08
0.004292    9.393868e-08
0.005007    9.256146e-08
0.005722    9.341786e-08
0.006437    9.544041e-08
0.007153    9.187494e-08
0.007868    9.086832e-08
0.008583    6.397367e-08
0.009298    6.174263e-08
0.010014    6.330389e-08
0.010729    6.546378e-08
0.011444    5.620295e-08
0.012159    2.854127e-08
0.012875    2.718236e-08
0.013590    3.495852e-08
0.014305    3.483217e-08
0.015020    3.365480e-08
0.015736    3.628855e-08
0.016451    3.614441e-08
0.017166    3.458650e-08
0.017881    3.588985e-08
0.018597    3.518241e-08
0.019312    3.539305e-08
0.020027    3.356124e-08
0.020742    3.336127e-08
...                  ...
749.979258  3.287345e-08
749.979973  3.573104e-08
749.980688  3.489819e-08
749.981403  3.487679e-08
749.982119  3.510766e-08
749.982834  3.373508e-08
749.983549  3.308064e-08
749.984264  3.232000e-08
749.984980  3.200263e-08
749.985695  3.211100e-08
749.986410  2.943246e-08
749.987125  3.023918e-08
749.987841  2.853976e-08
749.988556  3.022210e-08
749.989271  2.681505e-08
749.989986  2.888105e-08
749.990702  2.929869e-08
749.991417  2.886940e-08
749.992132  2.701968e-08
749.992847  2.918731e-08
749.993563  2.503842e-08
749.994278  2.571488e-08
749.994993  2.485407e-08
749.995708  2.560771e-08
749.996424  2.006447e-08
749.997139  1.996241e-08
749.997854  1.888078e-08
749.998569  1.928316e-08
749.999285  1.520563e-08
750.000000  1.611843e-08

[1048577 rows x 1 columns]]

























In [5]:



    


ripple_psd[0].plot()
ripple_psd[1].plot()



    


















    
Out[5]:








<matplotlib.axes._subplots.AxesSubplot at 0x114ef23c8>










    

















    
































In [ ]:



    






    
















    


    

        

            

            

                Content source: edeno/Jadhav-2016-Data-Analysis
            

            
Similar notebooks:

            

            
                notebook.community |
                gallery |
                about