import plotly.plotly as py
from plotly.graph_objs import *
import plotly.tools as tls
import pandas as pd

import plotly
plotly.__version__

py.sign_in('Python-Demo-Account','gwt101uhh0')

df = pd.read_csv("http://public.tableausoftware.com/views/WomenManagers/WomanPower.csv")

df.head()  # take a look at data

histogram_plot = [{'x': df['% of women managers'], 
                 'type': 'histogram',
                 'name': '% of women managers',
}]

data_histogram = Data(histogram_plot)

fig_histogram = Figure(data=data_histogram)

py.iplot(fig_histogram, filename='% of women managers')

tls.embed('MattSundquist',8651)  # style in GUI

fig = py.get_figure('MattSundquist',8651)  # or, I can get the data

fig_data = fig.get_data()

str(fig_data)

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