Create Mapchart world

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Template request | Bug report​
Tags: #plotly #chart #worldmap #dataviz #snippet #operations #image #html
Author: Jeremy Ravenel​
Input
Import libraries
import naas
import plotly.graph_objects as go
import pandas as pd
Variables
title = "Worldmap"
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# Output paths
output_image = f"{title}.png"
output_html = f"{title}.html"
Get data
Columns :
1.ISO code of country
2.Value
To use the built-in countries geometry, provide locations as three-letter ISO country codes.
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')
df
Model
Create the plot
fig = go.Figure()
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fig = go.Figure(data=go.Choropleth(
    locations = df['CODE'],
    z = df['GDP (BILLIONS)'],
    text = df['COUNTRY'],
    colorscale = 'Blues',
    autocolorscale=False,
    reversescale=True,
    marker_line_color='darkgray',
    marker_line_width=0.5,
    colorbar_tickprefix = '$',
    colorbar_title = 'GDP<br>Billions US$',
))
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fig.update_layout(
    title=title ,
    plot_bgcolor="#ffffff",
    legend_x=1,
    geo=dict(
        showframe=False,
        showcoastlines=False,
        #projection_type='equirectangular'
    ),
    dragmode= False,
    width=1200,
    height=800,
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)
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config = {'displayModeBar': False}
fig.show(config=config)
Output
Export in PNG and HTML
fig.write_image(output_image, width=1200)
fig.write_html(output_html)
Generate shareable assets
link_image = naas.asset.add(output_image)
link_html = naas.asset.add(output_html, {"inline":True})
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#-> Uncomment the line below to remove your assets
# naas.asset.delete(output_image)
# naas.asset.delete(output_html)

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Last modified 3mo ago