from IPython.display import HTML
HTML('<iframe src="http://www.randalolson.com/2014/06/25/" '
     'width=720 height=350></iframe>' )

import plotly
plotly.__version__

import plotly.plotly as py  

import plotly.tools as tls 

tls.embed("https://plot.ly/~randal_olson/10/")

# OR
#tls.embed('randal_olson',10) 

randal_olson10 = py.get_figure("https://plot.ly/~randal_olson/10")

# OR
#py.get_figure('randal_olson',10) 

randal_olson10

print randal_olson10.to_string()

randal_olson10_data = randal_olson10.get_data()

randal_olson10_data

X = [trace['x'][0] for trace in randal_olson10_data]
Y = [trace['y'][0] for trace in randal_olson10_data]
NAME = [trace['name'] for trace in randal_olson10_data]

zip(X,Y,NAME)  # print to screen as tuple

from plotly.graph_objs import Data, Layout, Figure
from plotly.graph_objs import Scatter, Marker, Line
from plotly.graph_objs import XAxis, YAxis

scatter = Scatter(
    x=X,             # x-coordinates
    y=Y,             # y-coordinates 
    mode='markers',  # show just markers pts
    name='',         # no name (which appear on the side of the cursor)        
    text=NAME,       # list degree names in a text block on hover
    marker= Marker(  
        size=18,                    
        color='rgb(142, 124, 195)', 
        opacity=0.7,                 # slightly transparent pts
        line=Line(  
            color='white',           # line around marker pts
            width=0.5
        )
    )
)

data = Data([scatter])  # package into Data object (accepts a list)

layout = Layout(
    title=randal_olson10['layout']['title'],  # original title
    xaxis= XAxis(
        title=randal_olson10['layout']['xaxis']['title']  # original x-axis title
    ),
    yaxis= YAxis(
        title=randal_olson10['layout']['yaxis']['title']  # original y-axis title
    ),
    showlegend=False,     # remove legend
    hovermode='closest',  # show closest pt on hover
    autosize=False,       # custom size
    width=700,  
    height=525
)

fig = Figure(data=data, layout=layout)

py.iplot(fig, filename='randal_olson10-remake')

from IPython.display import display, HTML
import urllib2
url = 'https://raw.githubusercontent.com/plotly/python-user-guide/master/custom.css'
display(HTML(urllib2.urlopen(url).read()))