Widges and Interactions



In [1]:

    
!conda install -y netcdf4









    



Fetching package metadata .........
Solving package specifications: .

# All requested packages already installed.
# packages in environment at /Users/chanitacr/anaconda:
#
netcdf4                   1.2.4               np111py35_1



In [14]:

    
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



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









    Out[5]:





[<matplotlib.lines.Line2D at 0x110a44080>]



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



In [7]:

    
pltsin(5)

Interaccion empieza en 1 va a hasta 10 y se devuelve hasta 1 En esta interaccion esta disponible solo para Jypiter no para terminal



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









    Out[8]:





<function __main__.pltsin>

Add to the funtion to allow amplitude to be varied and add in an additional slider to vary both f and a

Hint you might want to limit the magnitude of 'y' in the plot - look up matplotlib



In [9]:

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



In [10]:

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









    Out[10]:





<function __main__.pltsin>

Climate data



In [16]:

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



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



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plt.imshow(air[364,:,:])  #display first timestep









    Out[25]:





<matplotlib.image.AxesImage at 0x108350710>



In [19]:

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



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#now make it interactive

interact(sh, time=(0,364,1))



In [36]:

    
# Browse variable

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



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# Give a list of varibles

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



In [38]:

    
# Now interact with it

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









    Out[38]:





<function __main__.sh>



In [49]:

    
# Browse variable

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



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# Create a list of years

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



In [51]:

    
# Give a list of varibles

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



In [53]:

    
# Now interact with it

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



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