heatmap.csv

import numpy as np 
import pandas as pd 

import plotly
import plotly.graph_objs as go
from plotly.offline import *

df = pd.read_csv('test.csv')

for col in df.columns:
    df[col] = df[col].astype(str)

scl = [[0.0, 'rgb(252,230,229)'], [0.2, 'rgb(249,206,204)'], [0.4, 'rgb(244,157,153)'],
            [0.6, 'rgb(239,108,102)'],[0.8, 'rgb(234,59,51)'],[1.0, 'rgb(299,10,0)']]

df['text'] = df['state'] + '<br>' +\
    'Negative Tweets: '+df['negative']

data = [ dict(
        type='choropleth',
        colorscale = scl,
        autocolorscale = False,
        locations = df['state'],
        z = df['negative'].astype(float),
        locationmode = 'USA-states',
        text = df['text'],
        marker = dict(
            line = dict (
                color = 'rgb(255,255,255)',
                width = 2
            ) ),
        colorbar = dict(
            title = "Negative Tweets")
        ) ]

layout = dict(
        title = 'Negative Tweets about Trump',
        geo = dict(
            scope='usa',
            projection=dict( type='albers usa' ),
            showlakes = True,
            lakecolor = 'rgb(255, 255, 255)'),
             )
    
fig = dict( data=data, layout=layout )
plotly.offline.plot( fig, filename='d3-cloropleth-map' )