Widgets and Interactions



In [1]:

    
# To enter bash shell commands please include an exclamation mark
#!conda install -y netcdf4



In [2]:

    
from netCDF4 import Dataset, num2date, date2num
from numpy import *
import matplotlib.pyplot as plt
%matplotlib inline



In [3]:

    
from ipywidgets import interact, interactive, fixed
import ipywidgets as widgets



In [4]:

    
x=linspace(0,1,100)
f=2



In [5]:

    
plt.plot(x, sin(2*pi*x*f))









    Out[5]:





[<matplotlib.lines.Line2D at 0x10b81bef0>]



In [6]:

    
def pltsin(f):
    plt.plot(x, sin(2*pi*x*f))



In [7]:

    
pltsin(0.5)



In [8]:

    
interact(pltsin, f=(1,10,0.1))









    Out[8]:





<function __main__.pltsin>

Add to the function to allow amplitude to varied and add in an addtional slider to vary both f and a



In [9]:

    
def pltsin (f,a):
    plt.plot(x,a * sin(2*pi*x*f))
    plt.ylim(-10.)



In [10]:

    
interact (pltsin, f=(1,10,0.1), a=(1,10,0.1))









    Out[10]:





<function __main__.pltsin>

Climate Data



In [11]:

    
f=Dataset('ncep-data/air.sig995.2013.nc')



In [12]:

    
air=f.variables['air'] #Get variable



In [13]:

    
plt.imshow(air[0,:,:]) #Display first timestamp









    Out[13]:





<matplotlib.image.AxesImage at 0x10baf4f28>



In [14]:

    
# Create function to browse through the days

def sh(time):
    plt.imshow(air[time,:,:])



In [15]:

    
# Now make it interactive
interact(sh, time=(0,355,1))









    Out[15]:





<function __main__.sh>



In [17]:

    
# Browser Variable

def sh(var='air', time=0):
    f=Dataset('ncep-data/'+var+'.sig995.2013.nc')
    vv=f.variables[var]
    plt.imshow(vv[time,:,:])



In [18]:

    
# Give a list of variables

variabs = ['air','uwnd','vwnd','rhum']



In [19]:

    
# Now interact with it

interact(sh, time=(0,355,1), var=variabs)

Add functionality to interact with the years



In [20]:

    
def sh(year='2013', var='air', time=0):
    f=Dataset('ncep-data/'+var+'.sig995.2013.nc')
    vv=f.variables[var]
    plt.imshow(vv[time,:,:])



In [21]:

    
years =[str(x) for x in range(2013,2016)]
years =['2013','2014','2015']



In [22]:

    
# Interact with it
interact(sh, year=years, time=(0,355,1), var=variabs)



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