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1. • • There are two great Python packages for creating interactive maps: folium and mapboxgl. Both of these packages are build on top off the JavaScript library called leaflet.js.
     www.earthdatascience.org/courses/scientists-guide-to-plotting-data-in-python/plot-spatial-data/customize-raster-plots/interactive-maps/

     Interactive Maps in Python | Earth Data Science - Earth Lab

2. People also ask

   What is eomaps Python?

   • Geographic data visualization and analysis with EOmaps: Interactive maps in python! This article is about EOmaps: A python package that helps you to create beautiful interactive maps with a few lines of code. It provides many useful tools to create publication ready maps and allows you to use the maps for interactive geo-data analysis.

   Geographic data visualization and analysis with EOmaps: Interactive

   dev.to/raphaelquast/geographic-data-visualization-and-analysis-with-eomaps-interactive-maps-in-python-48e1

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   How do I create a web map in Python?

   • Open up a new Python file in your favorite text editor and create a tiled web map with three lines of code: When you run your script, Python creates a new HTML file in your working directory that displays an empty world map with the default settings provided by Folium. Open the file in your browser by double-clicking on it and take a look:

   Python Folium: Create Web Maps From Your Data

   realpython.com/python-folium-web-maps-from-data/

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   How to visualize geospatial data in Python?

   • If you’re working with geospatial data in Python, then you might want to quickly visualize that data on a map. Python’s Folium library gives you access to the mapping strengths of the Leaflet JavaScript library through a Python API. It allows you to create interactive geographic visualizations that you can share as a website.

   Python Folium: Create Web Maps From Your Data

   realpython.com/python-folium-web-maps-from-data/

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   How can we use maps as Interactive Data Analysis widgets?

   • Finally, lets explore how we can use the maps as interactive data analysis widgets! To interact with a map, you can attach callback functions that are triggered on one of the following events: click: You clicked with the mouse anywhere on a map. move: You moved the mouse over a map. keypress: A key was pressed on the keyboard.

   Geographic data visualization and analysis with EOmaps: Interactive

   dev.to/raphaelquast/geographic-data-visualization-and-analysis-with-eomaps-interactive-maps-in-python-48e1

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   What is the best interactive map library?

   • Plotly is another famous library known for its beautiful interactive charts. Among many features, it has several functions to plot maps, such as px.choropleth, px.choropleth_mapbox, px.scatter_mapbox, px.scatter_geo and some others. You can find more details here.

   6 python libraries to make beautiful maps - Medium

   medium.com/@alexroz/6-python-libraries-to-make-beautiful-maps-9fb9edb28b27

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   How to use eomaps maps as Interactive Data Analysis widgets?

   • Export images: Customize figure export (png, jpeg, svg...) To activate the widget, press w on the keyboard while the mouse is on top of an EOmaps map. To get information on the buttons/sliders etc. click the info-button! Finally, lets explore how we can use the maps as interactive data analysis widgets!

   Geographic data visualization and analysis with EOmaps: Interactive

   dev.to/raphaelquast/geographic-data-visualization-and-analysis-with-eomaps-interactive-maps-in-python-48e1

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3. Videos

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     How to Create INTERACTIVE MAPS in Python

     28 Jul 2023

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     How to Make Interactive Maps with Python - Scatter Mapbox Example with Plotly and OpenStreetMap

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     Interactive maps using Folium | Python

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4. towardsdatascience.com › visualizing-routes-onVisualizing Routes on Interactive Maps with Python: Part 1

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   Jan 16, 2024 · This article is two things at once: a tutorial on using folium to display routes, and a guide to incremental data visualization, where the priorities are to (1) have something working, then (2) something useful, and only then (3) something beautiful. As such, this guide will be a valuable tool for people developing general routing applications ...

   • A Complete Guide to an Interactive Geographical Map using Python

     In this step by step guide, we will recreate an interactive...

5. medium.com › @alexroz › 6-python-libraries-to-make6 python libraries to make beautiful maps - Medium

   medium.com › @alexroz › 6-python-libraries-to-make

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   • Cartopy. Cartopy is a powerful well-known library perfect for plotting static maps with scalar or polygon data. It provides many built-in layers for land, water and administrative borders.
   • Folium. This library is probably the most popular in the industry, since it’s interactive (it has JS under the hood) and highly customizable. And to start plotting (after installation) you can simply call
   • Plotly. Plotly is another famous library known for its beautiful interactive charts. Among many features, it has several functions to plot maps, such as px.choropleth, px.choropleth_mapbox, px.scatter_mapbox, px.scatter_geo and some others.
   • ipyleaflet. The fourth library I want to show you is ipyleaflet.It’s another great JS-based library for interactive mapping. One of my favorite things about this package is the amount of tiles it has.

6. dev.to › raphaelquast › geographic-dataGeographic data visualization and analysis with EOmaps ...

   dev.to › raphaelquast › geographic-data

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   Jul 12, 2023 · The main features are: A comprehensive python API to create highly customized maps. A GUI-widget to interactively compare, analyze and edit maps. Capabilities to visualize (possibly large) datasets. Tools to use the maps for interactive data analysis. An extensive documentation.

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7. towardsdatascience.com › a-complete-guide-to-anA Complete Guide to an Interactive Geographical Map using Python

   towardsdatascience.com › a-complete-guide-to-an

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   Feb 5, 2019 · In this step by step guide, we will recreate an interactive global choropleth map on Share of Adults who are obese (1975–2016) using Python libraries and package — Pandas, Geopandas and Bokeh. In the first section, we will create a static map and then later build on our code to introduce interactivity.

   • Author: Shivangi Patel

8. realpython.com › python-folium-web-maps-from-dataPython Folium: Create Web Maps From Your Data

   realpython.com › python-folium-web-maps-from-data

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   You'll learn how to create web maps from data using Folium. The package combines Python's data-wrangling strengths with the data-visualization power of the JavaScript library Leaflet. In this tutorial, you'll create and style a choropleth world map that shows the ecological footprint per country.

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9. towardsdatascience.com › creating-an-interactiveCreating an interactive map in Python using Bokeh and pandas

   towardsdatascience.com › creating-an-interactive

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   May 22, 2020 · In this article, we will walk through the process of creating an interactive heatmap showing avocado prices in the United States, which can easily be viewed and manipulated in any modern web browser. We will do this using Python, primarily using Bokeh and a pandas DataFrame.

10. www.earthdatascience.org › tutorials › introductionUsing Leaflet and Folium to make interactive maps in Python

    www.earthdatascience.org › tutorials › introduction

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    Apr 20, 2020 · This tutorial shows how to make interactive maps in Python with folium.