Artic sea ice

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Tags: #naas #opendata #analytics #asset #html #png
Author: Florent Ravenel​
AVERAGE SEPTEMBER MINIMUM EXTENT
Data source: Satellite observations. Credit: NSIDC/NASA
What is Arctic sea ice extent?
Sea ice extent is a measure of the surface area of the ocean covered by sea ice. Increases in air and ocean temperatures decrease sea ice extent; in turn, the resulting darker ocean surface absorbs more solar radiation and increases Arctic warming.
Date Range: 1979 - 2020.
Get data from website
Click on Artic Sea Ice​
Input
Import libraries
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import pandas as pd
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import plotly.graph_objects as go
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import naas
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Variables
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# Input
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data_input = "https://climate.nasa.gov/system/internal_resources/details/original/2485_Sept_Arctic_extent_1979-2021.xlsx"
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​
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# Output
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image_output = "Artic_sea_ice_extent.png"
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html_output = "Artic_sea_ice_extent.png"
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Model
Get data
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df = pd.read_excel(data_input)
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df.tail(10)
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Create graph
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def create_linechart(df, label, value):
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    # Init
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    fig = go.Figure()
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    # Create fig
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    fig.add_trace(
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        go.Scatter(
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            x=df[label],
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            y=df[value],
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            hoverinfo="text",
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            hovertext=df[label].astype(str) + "<br>" + df[value].astype(str) + " million square km",
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            mode="lines+text",
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        )
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    )
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    fig.update_layout(
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        title=f"<b>Arctic Sea Ice Extent</b><br><span style='font-size: 13px;'>ANNUAL SEPTEMBER MINIMUM EXTENT</span>",
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        title_font=dict(family="Arial", size=18, color="black"),
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        plot_bgcolor="#ffffff",
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        width=1200,
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        height=800,
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        paper_bgcolor="white",
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        xaxis_title="Year",
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        xaxis_title_font=dict(family="Arial", size=11, color="black"),
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        yaxis_title='million square km',
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        yaxis_title_font=dict(family="Arial", size=11, color="black"),
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        margin_pad=10,
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    )
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    fig.show()
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    return fig
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​
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fig = create_linechart(df, "year", "extent")
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Output
Save and share output
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fig.write_html(html_output)
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fig.write_image(image_output)
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naas.asset.add(html_output, params={"inline": True})
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naas.asset.add(image_output)
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​
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#-> Uncomment lines below to remove your assets
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# naas.asset.delete(html_output)
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# naas.asset.delete(image_output)
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Sea level

Global temperature

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