In [1]:

    

%load_ext watermark
%watermark -d -a 'Sebastian Raschka' -v


    

    




Sebastian Raschka 22/12/2014 

CPython 3.4.2
IPython 2.3.1

In [8]:

    

import requests
import json


    

In [9]:

    

d = {'name':[], 'diameter':[], 'population':[]}

url = "http://swapi.co/api/planets/?page=1"

while url:
    r = requests.get(url)
    data = json.loads(r.text)
    for i in data['results']:
        d['name'].append(i['name'])
        d['diameter'].append(i['diameter'],)
        d['population'].append(i['population']),
    url = data['next']


    

In [10]:

    

import pandas as pd

df = pd.DataFrame(d)
df = df[(df['diameter']!='unknown') & (df['population']!='unknown')]
df['diameter'] = df['diameter'].astype(int)
df['population'] = df['population'].astype(int)
df.head()


    

    
Out[10]:






  

    

      

      
diameter
      
name
      
population
    
  
  

    

      
0
      
  12500
      
 Alderaan
      
 2000000000
    
    

      
1
      
  10200
      
 Yavin IV
      
       1000
    
    

      
4
      
 118000
      
   Bespin
      
    6000000
    
    

      
5
      
   4900
      
    Endor
      
   30000000
    
    

      
6
      
  12120
      
    Naboo
      
 4500000000
    
  

In [11]:

    

%matplotlib inline


    

In [14]:

    

import plotly.plotly as py
from random import random, randrange, seed
seed(456)

traces = []

for i in df.index:
    tr = Scatter(
        x=df.ix[i]['diameter'], 
        y=df.ix[i]['population'],
        name=df.ix[i]['name'],
        marker=Marker(
        color='rgb(%s, %s, %s)' % (randrange(0,256), randrange(0,256), randrange(0,256)),
        size=0.001*df.ix[i]['diameter']))
    traces.append(tr)

layout = Layout(
        title='Star Wars API - Planets',
        xaxis=XAxis(
            showgrid=False,
            zeroline=False,
            title='Diameter [km]',
            tick0=-1,
            type='log'),
        yaxis=YAxis(
            showgrid=False,
            zeroline=False,
            title='Population',
            type='log'))

fig = Figure(data=traces, layout=layout)
py.iplot(fig, filename='SWAPI-Planets')


    

    
Out[14]:

In [2]:

    

import requests
import json


    

In [3]:

    

d = {'name':[], 'mass':[], 'height':[]}

url = "http://swapi.co/api/people/?page=1"

while url:
    r = requests.get(url)
    data = json.loads(r.text)
    for i in data['results']:
        d['name'].append(i['name'])
        d['mass'].append(i['mass'],)
        d['height'].append(i['height']),
    url = data['next']


    

In [4]:

    

import pandas as pd

df = pd.DataFrame(d)
df = df[(df['mass']!='unknown') & (df['height']!='unknown')]
df['mass'] = df['mass'].apply(lambda x: x.replace(',','.'))
df['mass'] = df['mass'].astype(float)
df['height'] = df['height'].astype(int)
df.head()


    

    
Out[4]:






  

    

      

      
height
      
mass
      
name
    
  
  

    

      
0
      
 172
      
  77
      
 Luke Skywalker
    
    

      
1
      
 167
      
  75
      
          C-3PO
    
    

      
2
      
  96
      
  32
      
          R2-D2
    
    

      
3
      
 202
      
 136
      
    Darth Vader
    
    

      
4
      
 150
      
  49
      
    Leia Organa
    
  

In [6]:

    

import plotly.plotly as py
from plotly.graph_objs import *
import plotly.tools as tls
from random import random, randrange, seed
seed(123)

traces = []

for i in df.index:
    tr = Scatter(
        x=df.ix[i]['height'], 
        y=df.ix[i]['mass'],
        name=df.ix[i]['name'],
        marker=Marker(
        color='rgb(%s, %s, %s)' % (randrange(0,256), randrange(0,256), randrange(0,256)),
        size=df.ix[i]['mass']/df.ix[i]['height']*20))
    traces.append(tr)

layout = Layout(
        title='Star Wars API - People',
        showlegend=False,
        xaxis=XAxis(
            showgrid=False,
            zeroline=False,
            tick0=-1,
            title='Mass [kg]',),
        yaxis=YAxis(
            showgrid=False,
            zeroline=False,
            title='Height [cm]',))

fig = Figure(data=traces, layout=layout)
py.iplot(fig, filename='SWAPI-People')


    

    
Out[6]:

In [12]:

    

import requests
import json


    

In [13]:

    

d = {'name':[], 'max_atmosphering_speed':[], 'hyperdrive_rating':[]}

url = "http://swapi.co/api/starships/?page=1"

while url:
    r = requests.get(url)
    data = json.loads(r.text)
    for i in data['results']:
        d['name'].append(i['name'])
        d['max_atmosphering_speed'].append(i['max_atmosphering_speed'],)
        d['hyperdrive_rating'].append(i['hyperdrive_rating']),
    url = data['next']


    

In [14]:

    

import pandas as pd

df = pd.DataFrame(d)
df['max_atmosphering_speed'] = df['max_atmosphering_speed'].apply(lambda x: x.strip('km'))
df = df[(df['max_atmosphering_speed']!='n/a') & (df['hyperdrive_rating']!='n/a')]
df = df[(df['max_atmosphering_speed']!='unknown') & (df['hyperdrive_rating']!='unknown')]
df['max_atmosphering_speed'] = df['max_atmosphering_speed'].astype(float)
df['hyperdrive_rating'] = df['hyperdrive_rating'].astype(float)
df.head()


    

    
Out[14]:






  

    

      

      
hyperdrive_rating
      
max_atmosphering_speed
      
name
    
  
  

    

      
0
      
 2.0
      
  950
      
                CR90 corvette
    
    

      
1
      
 2.0
      
  975
      
               Star Destroyer
    
    

      
2
      
 1.0
      
 1000
      
 Sentinel-class landing craft
    
    

      
4
      
 0.5
      
 1050
      
            Millennium Falcon
    
    

      
5
      
 1.0
      
 1000
      
                       Y-wing
    
  

In [15]:

    

import plotly.plotly as py
from plotly.graph_objs import *
import plotly.tools as tls
from random import random, randrange, seed
seed(123)

traces = []

for i in df.index:
    tr = Scatter(
        x=df.ix[i]['max_atmosphering_speed'], 
        y=df.ix[i]['hyperdrive_rating'],
        name=df.ix[i]['name'],
        marker=Marker(
        color='rgb(%s, %s, %s)' % (randrange(0,256), randrange(0,256), randrange(0,256)),
        size=0.001 * df.ix[i]['max_atmosphering_speed']/df.ix[i]['hyperdrive_rating']*20))
    traces.append(tr)

layout = Layout(
        title='Star Wars API - Spaceships',
        showlegend=False,
        xaxis=XAxis(
            showgrid=False,
            zeroline=False,
            title='Max. atmosphering speed [km/h]',
            tick0=-1,
            type='log'),
        yaxis=YAxis(
            showgrid=False,
            zeroline=False,
            title='Hyperdrive rating',),)

fig = Figure(data=traces, layout=layout)
py.iplot(fig, filename='SWAPI-Spaceships')


    

    
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