Create Mapchart world

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Tags: #plotly #chart #worldmap #dataviz #snippet
Author: Jeremy Ravenel​
Input
Import libraries
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import naas
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import plotly.graph_objects as go
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import pandas as pd
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Variables
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title = "Worldmap"
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​
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# Output paths
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output_image = f"{title}.png"
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output_html = f"{title}.html"
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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.
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df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')
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df
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Model
Create the plot
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fig = go.Figure()
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​
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fig = go.Figure(data=go.Choropleth(
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    locations = df['CODE'],
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    z = df['GDP (BILLIONS)'],
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    text = df['COUNTRY'],
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    colorscale = 'Blues',
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    autocolorscale=False,
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    reversescale=True,
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    marker_line_color='darkgray',
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    marker_line_width=0.5,
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    colorbar_tickprefix = '#x27;,
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    colorbar_title = 'GDP<br>Billions US#x27;,
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))
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​
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fig.update_layout(
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    title=title ,
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    plot_bgcolor="#ffffff",
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    legend_x=1,
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    geo=dict(
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        showframe=False,
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        showcoastlines=False,
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        #projection_type='equirectangular'
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    ),
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    dragmode= False,
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    width=1200,
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    height=800,
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​
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)
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​
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config = {'displayModeBar': False}
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fig.show(config=config)
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Output
Export in PNG and HTML
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fig.write_image(output_image, width=1200)
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fig.write_html(output_html)
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Generate shareable assets
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link_image = naas.asset.add(output_image)
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link_html = naas.asset.add(output_html, {"inline":True})
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​
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#-> Uncomment the line below to remove your assets
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# naas.asset.delete(output_image)
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# naas.asset.delete(output_html)
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Create Candlestick

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Contents

Input

Model

Output