In [2]:

    

import netCDF4
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import datetime as dt
import ipywidgets as widgets


    

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url='http://geoport.whoi.edu/thredds/dodsC/usgs/data2/emontgomery/stellwagen/Data/FI14/10001whr-cal.nc'


    

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nc = netCDF4.Dataset(url)
ncv = nc.variables


    

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def convert_epic_time(ncv):
    """ convert EPIC time and time2 variables to datenum64 """
    t1 = np.array(ncv['time'][:] - 2440588, dtype='int64')*3600*24*1000
    t2 = np.array(ncv['time2'][:], dtype='int64')
    return pd.to_datetime(t1+t2,unit='ms')


    

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# if we find a time2 variable, convert EPIC time and time2 variables to datetime64 object
if 'time2' in ncv.keys():
    dt = convert_epic_time(ncv)


    

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dt[0]


    

    
Out[7]:





Timestamp('2014-02-07 14:51:29.999000')

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dt.shape


    

    
Out[8]:





(2134L,)

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ncv['press']


    

    
Out[9]:





<type 'netCDF4._netCDF4.Variable'>
int16 press(time, sample, lat, lon)
unlimited dimensions: 
current shape = (2134, 2048, 1, 1)
filling off

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itime = 200


    

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print(dt[itime])


    

    




2014-02-15 22:51:30

In [12]:

    

def my_plot(var_name='press',itime=0):
    var = ncv[var_name]
    plt.plot(var[itime,:,:,:].ravel())
    plt.title(dt[itime])


    

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my_plot(var_name='press',itime=itime)


    

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int(dt.shape[0])


    

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widgets.interact(my_plot, itime=(0,int(dt.shape[0]),1), var_name=ncv.keys() )


    

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def button_plus(counter, w):
    counter.increment(+1)  
    
def button_minus(counter, w):
    counter.increment(-1)


    

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counter = Counter()

wplus = widgets.Button(description='>')
wplus.on_click(partial(button_plus, counter))
display(wplus)

wminus = widgets.Button(description='<')
wminus.on_click(partial(button_minus, counter))
display(wminus)


    

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counter.value


    

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