python libs for all vis things

In [17]:

    

%pylab inline


    

    




Populating the interactive namespace from numpy and matplotlib






    




WARNING: pylab import has clobbered these variables: ['Text', 'Button', 'Widget', 'interactive']
`%matplotlib` prevents importing * from pylab and numpy

In [18]:

    

t = arange(0.0, 1.0, 0.01)

y1 = sin(2*pi*t)
y2 = sin(2*2*pi*t)

import pandas as pd

df = pd.DataFrame({'t': t, 'y1': y1, 'y2': y2})
df.head(10)


    

    
Out[18]:






  

    

      

      
t
      
y1
      
y2
    
  
  

    

      
0
      
0.00
      
0.000000
      
0.000000
    
    

      
1
      
0.01
      
0.062791
      
0.125333
    
    

      
2
      
0.02
      
0.125333
      
0.248690
    
    

      
3
      
0.03
      
0.187381
      
0.368125
    
    

      
4
      
0.04
      
0.248690
      
0.481754
    
    

      
5
      
0.05
      
0.309017
      
0.587785
    
    

      
6
      
0.06
      
0.368125
      
0.684547
    
    

      
7
      
0.07
      
0.425779
      
0.770513
    
    

      
8
      
0.08
      
0.481754
      
0.844328
    
    

      
9
      
0.09
      
0.535827
      
0.904827
    
  

In [19]:

    

fig = figure(1, figsize = (10,10))

ax1 = fig.add_subplot(211)
ax1.plot(t, y1)
ax1.grid(True)
ax1.set_ylim((-2, 2))
ax1.set_ylabel('Gentle Lull')
ax1.set_title('I can plot waves')

for label in ax1.get_xticklabels():
    label.set_color('r')


ax2 = fig.add_subplot(212)
ax2.plot(t, y2,)
ax2.grid(True)
ax2.set_ylim((-2, 2))
ax2.set_ylabel('Getting choppier')
l = ax2.set_xlabel('Hi PyLadies')
l.set_color('g')
l.set_fontsize('large')

show()


    

In [20]:

    

import seaborn as sns

sns.set(color_codes=True)
sns.distplot(y1)
sns.distplot(y2)


    

    
Out[20]:





<matplotlib.axes._subplots.AxesSubplot at 0x112314d10>






    

In [21]:

    

from ipywidgets import widgets
from IPython.html.widgets import *

t = arange(0.0, 1.0, 0.01)

def pltsin(f):
    plt.plot(t, sin(2*pi*t*f))
    
interact(pltsin, f=(1,10,0.1))


    

In [22]:

    

def pltsin(f):
    sns.distplot(sin(2*pi*t*f))
    
interact(pltsin, f=(1,10,0.1))