In [17]:

    

%matplotlib inline


    

In [18]:

    

from numpy import array
import matplotlib.pyplot as plt
import seaborn as sns


    

In [19]:

    

import thunder
from showit import image, tile
import matplotlib.animation as animation


    

In [20]:

    

import json


    

In [21]:

    

from os.path import join, exists
from os import mkdir, makedirs


    

In [22]:

    

from numpy import save


    

In [23]:

    

from pandas import DataFrame


    

In [24]:

    

directory = '/tier2/freeman/Nick/lfov.calibration'


    

In [25]:

    

key = '2016-04-24-6-vision'
name = 'anm-0330549'


    

In [26]:

    

path = join(directory, 'reprocessed', name, key)
print exists(path)


    

    




True

In [27]:

    

data = thunder.series.frombinary(join(path, 'traces', 'raw'), engine=None)


    

In [28]:

    

traces = data.normalize('window', window=500)


    

In [29]:

    

traces.tobinary(join(path, 'traces', 'norm'))


    

In [30]:

    

norm = DataFrame(traces.toarray().T)


    

In [31]:

    

plt.plot(norm[1]);


    

In [32]:

    

plt.plot(norm.mean(axis=1));


    

In [ ]: