Posted on December 31, 2022 (Updated on July 19, 2025)

Producing multiple map PDF from Excel file with each record being two lat/long pairs?

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Ditch the Spreadsheet, Unleash the Maps: Turning Excel Data into a Batch of Stunning PDFs

Ever found yourself drowning in a sea of Excel rows, desperately wishing you could see your data instead of just staring at numbers? If you’re in logistics, urban planning, or even environmental science, you know the struggle. Location data is gold, but it’s often buried in spreadsheets. The good news? You can transform that data into a series of map PDFs, each spotlighting a specific location. Think of it as turning boring data into a vibrant, visual story.

The Spreadsheet-to-Spatial Visualization Gauntlet

The big hurdle is bridging the gap between rows and columns and actual, you know, maps. Sure, Excel has rudimentary mapping, but let’s be honest, it’s not exactly winning any design awards. What we really need is a way to automatically churn out individual, high-quality maps perfect for reports, presentations, or even just getting a better handle on your data. We’re talking about a process that can:

  • Find the Spot (Geocode if Needed): Translate addresses into those all-important latitude and longitude coordinates.
  • Map Magic (Automate Map Creation): Generate a dedicated map for each record in your Excel file, zeroing in on its unique coordinates.
  • PDF Power (Export to PDF): Save each map as its own PDF, ready to share or print.

    • So, how do we pull this off? Let’s explore a few options.

    Option 1: QGIS – The Open-Source GIS Powerhouse

    QGIS (short for Quantum GIS, but don’t let that intimidate you) is a free and open-source Geographic Information System that’s surprisingly powerful. Think of it as the Swiss Army knife of mapping software. Here’s the gist:

  • Import Your Data: Save your Excel file as a CSV. Then, in QGIS, use the “Add Delimited Text Layer” tool to bring that CSV to life. Tell QGIS which columns hold your latitude and longitude.
  • Point It Out: QGIS will create a point layer based on your coordinates. Make sure you’ve got the right Coordinate Reference System (CRS) selected – WGS 84 is usually a safe bet for those familiar decimal degrees.
  • Data-Driven Pages to the Rescue: This is where the magic happens. QGIS’s Data-Driven Pages feature automatically generates a map for each record. You set your point layer as the “coverage layer,” and QGIS handles the rest, adjusting the map to focus on each point.
  • Make it Pretty (Customize): Now for the fun part! Tweak the map scale, add labels, throw in a scale bar and north arrow – make it your own.
  • PDF Time: Configure Data-Driven Pages to export each map as a separate PDF. Bonus: QGIS 3.10 (and newer) can even create Geospatial PDFs, embedding spatial data right into the file!

    • The Upsides:

    • Free as a Bird: Zero licensing fees. Can’t beat that.
    • Mapping Muscle: QGIS gives you serious control over map design.
    • Smart PDFs: Geospatial PDF support is a huge plus.

    The Downsides:

    • Learning Curve Alert: GIS software can be a bit intimidating at first.
    • Setup Time: Data-Driven Pages take a little effort to configure.

    Option 2: Python – The Scripting Superhero

    If you’re comfortable with code, Python offers incredible automation possibilities. With the right libraries, you can whip up a script to generate maps like a pro.

  • Gather Your Tools: Install these Python libraries using pip: folium, geopandas, pandas, and reportlab.
  • Read the Data: Use pandas to load your Excel file into a DataFrame.
  • Find the Coordinates (If Needed): If you’re starting with addresses, you’ll need to geocode them. Libraries like geopy can help you tap into services like the Google Maps API or Geocodio. Just watch out for those API usage limits!
  • Folium for Map Creation: folium is your friend here. Create a map object for each record, center it on the coordinates, and drop a marker. Customize away!
  • HTML First: Save each folium map as an HTML file.
  • PDF Conversion: Use reportlab or a tool like wkhtmltopdf to turn those HTML files into PDFs.

    • A Taste of Python Code:

    python

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