100 Real Data international Map Choropleth

In [1]:

import plotly.plotly as py
import plotly.graph_objs as go 
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot

In [2]:

init_notebook_mode(connected=True) 

In [3]:

import pandas as pd

In [5]:

df = pd.read_csv('2014_World_GDP')
df.head()

Out[5]:

	COUNTRY	GDP (BILLIONS)	CODE
0	Afghanistan	21.71	AFG
1	Albania	13.40	ALB
2	Algeria	227.80	DZA
3	American Samoa	0.75	ASM
4	Andorra	4.80	AND

In [6]:

data = dict(
        type = 'choropleth',
        locations = df['CODE'],
        z = df['GDP (BILLIONS)'],
        text = df['COUNTRY'],
        colorbar = {'title' : 'GDP Billions US'},
      ) 

In [11]:

layout = dict(
    title = '2014 Global GDP',
    geo = dict(
        showframe = False,
        projection = {'type':'Mercator'}
    )
)

In [13]:

choromap = go.Figure(data = [data],layout = layout)
iplot(choromap)