plotly choropleth not plotting data - python-2.7

Question

here is a link to my data https://docs.google.com/document/d/1oIiwiucRkXBkxkdbrgFyPt6fwWtX4DJG4nbRM309M20/edit?usp=sharing
My problem is that when I run this in a Jupyter Notebook. I get just the USA map with the colour bar and the lakes in blue. No data is on the map, not the labels nor the actual z data.
Here is my header:
import plotly.graph_objs as go
import cufflinks as cf
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
%matplotlib inline
init_notebook_mode(connected=True) # For Plotly For Notebooks
cf.go_offline() # For Cufflinks For offline use
%matplotlib inline
init_notebook_mode(connected=True) # For Plotly For Notebooks
cf.go_offline() # For Cufflinks For offline use
Here is my data and layout:
data = dict(type='choropleth',
locations = gb_state['state'],
locationmode = 'USA-states',
colorscale = 'Portland',
text =gb_state['state'],
z = gb_state['beer'],
colorbar = {'title':"Styles of beer"}
)
data
layout = dict(title = 'Styles of beer by state',
geo = dict(scope='usa',
showlakes = True,
lakecolor = 'rgb(85,173,240)')
)
layout
and here is how I fire off the command:
choromap = go.Figure(data = [data],layout = layout)
iplot(choromap)
Any help, guidelines or pointers would be appreciated

Answer 1

Here is a minified working example which will give you the desired output.
import pandas as pd
import io
import plotly.graph_objs as go
from plotly.offline import plot
txt = """ state abv ibu id beer style ounces brewery city
0 AK 25 17 25 25.0 25.0 25 25 25
1 AL 10 9 10 10.0 10.0 10 10 10
2 AR 5 1 5 5.0 5.0 5 5 5
3 AZ 44 24 47 47.0 46.0 47 47 47
4 CA 182 135 183 183.0 183.0 183 183 183
5 CO 250 146 265 265.0 263.0 265 265 265
6 CT 27 6 27 27.0 27.0 27 27 27
7 DC 8 4 8 8.0 8.0 8 8 8
8 DE 1 1 2 2.0 2.0 2 2 2
9 FL 56 37 58 58.0 58.0 58 58 58
10 GA 16 7 16 16.0 16.0 16 16 16
"""
gb_state = pd.read_csv(io.StringIO(txt), delim_whitespace=True)
data = dict(type='choropleth',
locations=gb_state['state'],
locationmode='USA-states',
text=gb_state['state'],
z=gb_state['beer'],
)
layout = dict(geo = dict(scope='usa',
showlakes= False)
)
choromap = go.Figure(data=[data], layout=layout)
plot(choromap)