CODEWITHSUNDEEP
pythonpandasplotlyvisualizationchoropleth
EFZ
EFZ

Reputation: 157

Plotly world Choropleth Map offline in python?

I'm trying to recreate the world Choropleth map given in plotlys example page here: https://plot.ly/python/choropleth-maps/ with the intention of reusing some of the code, but changing the column which informs the shadings and the labelling.

However when I run the exact code given in the example I receive the following error.

plotly.exceptions.PlotlyError: Because you didn't supply a 'file_id' in the call, we're assuming you're trying to snag a figure from a url. You supplied the url, '', we expected it to start with 'https://plot.ly'. Run help on this function for more information.

I have no idea where this error arises from and my question really is how do I adapt the code so that it produces the said figure offline? Secondly is there a simple method for saving the figure directly to a png? Apologies if this is trivial I'm completely new to the package.

Here is the code:

import plotly.plotly as py
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')
data = [dict(
    type='choropleth',
    locations=df['CODE'],
    z=df['GDP (BILLIONS)'],
    text=df['COUNTRY'],
    colorscale=[[0, "rgb(5, 10, 172)"], [0.35, "rgb(40, 60, 190)"], [0.5, "rgb(70, 100, 245)"],\
                [0.6, "rgb(90, 120, 245)"], [0.7, "rgb(106, 137, 247)"], [1, "rgb(220, 220, 220)"]],
    autocolorscale=False,
    reversescale=True,
    marker=dict(
        line=dict(
            color='rgb(180,180,180)',
            width=0.5
        )),
    colorbar=dict(
        autotick=False,
        tickprefix='$',
        title='GDP<br>Billions US$'),
)]

layout = dict(
    title='2014 Global GDP<br>Source:\
            <a href="https://www.cia.gov/library/publications/the-world-factbook/fields/2195.html">\
            CIA World Factbook</a>',
    geo=dict(
        showframe=False,
        showcoastlines=False,
        projection=dict(
            type='Mercator'
        )
    )
)

fig = dict(data=data, layout=layout)
py.iplot(fig,validate=False, filename='d3-world-map')

Upvotes: 2

Views: 5361

Answers (1)

ALollz
ALollz

Reputation: 59579

You need to import the offline specific functions, which allow you to plot inline in a jupyter notebook:

import plotly.figure_factory as ff
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)

# All of your code
# ....

# Just change the last line from py.iplot to iplot
iplot(fig,validate=False, filename='d3-world-map')

enter image description here

This renders the image inline in a jupyter notebook, and there's a button that allows you to Download plot as a png in the upper right, along with other functionality.

If you need to save the image as a png, you can try changing the last line to:

plot(fig, validate=False, filename='d3-world-map.html', image='png')

This actually creates an .html file and will open a browser. You can then manually save this as a .png. The last step can be automated with other libraries like selenium, but not sure there is a simple way around it given their documentation:

Note that you must generate the graph and open the file to save the image.

Upvotes: 1

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