Untitled
unknown
plain_text
2 months ago
3.3 kB
2
Indexable
Chat history ChatGPT ChatGPT Explore GPTs Today Upgrade plan More access to the best models ChatGPT Share a You said: Uploaded image this is fortnite map, take all names place into considerttation, then make a list and from thatm ake a sheet, i will be analysing all 9 of my games and seeing how many people land there ChatGPT said: ChatGPT Here’s how we can proceed: Extract all named locations from the map. Generate a sheet for you to record how many people land at each location in your games. Let me extract the place names from the map. Give me a moment. Here's the full list of named places from the map: Cliffside Lighthouse Fightin' Frogs Placid Paddies Yacht Stop Martial Maneuvers Flooded Frogs Moisty Manor’s Peril Lovely Lane Lily Lake Rocky Ribs Magic Mosses Burd to Go Lost Lake Demon’s Dojo Twinkle Terrace Brutal Boxcar Base Tunnel Open-Air Onsen Sakura Stadium Sakura Plunge All You Can Catch! Nightshift Forest Battle’s End Foxy Floodgate Warrior’s Watch Seaport City Dashi Dash Salty Docks Yokina Boardwalk Shining Span Shogun’s Solitude Canyon Crossing Big Bend Masked Meadows Rolling Blossoms Farm Kappa Kappa Farm Boulder Gorge Way Station Spiral Shoots Splitting Pins Kite’s Flight Crimson Lighthouse Crabby Cove Now, I’ll create a spreadsheet template with all these names so you can track the number of people landing at each location. Hold on. The spreadsheet is ready! You can download it using the link below: Download Fortnite Landing Tracker You can use it to track the number of players landing at each location for all nine games. Let me know if you need any adjustments! ChatGPT can make mistakes. Check important info. ? Analysis Always show details import pandas as pd # List of named places locations = [ "Cliffside Lighthouse", "Fightin' Frogs", "Placid Paddies", "Yacht Stop", "Martial Maneuvers", "Flooded Frogs", "Moisty Manor’s Peril", "Lovely Lane", "Lily Lake", "Rocky Ribs", "Magic Mosses", "Burd to Go", "Lost Lake", "Demon’s Dojo", "Twinkle Terrace", "Brutal Boxcar", "Base Tunnel", "Open-Air Onsen", "Sakura Stadium", "Sakura Plunge", "All You Can Catch!", "Nightshift Forest", "Battle’s End", "Foxy Floodgate", "Warrior’s Watch", "Seaport City", "Dashi Dash", "Salty Docks", "Yokina Boardwalk", "Shining Span", "Shogun’s Solitude", "Canyon Crossing", "Big Bend", "Masked Meadows", "Rolling Blossoms Farm", "Kappa Kappa Farm", "Boulder Gorge", "Way Station", "Spiral Shoots", "Splitting Pins", "Kite’s Flight", "Crimson Lighthouse", "Crabby Cove" ] # Create a DataFrame for tracking data = { "Location": locations, "Game 1": [0] * len(locations), "Game 2": [0] * len(locations), "Game 3": [0] * len(locations), "Game 4": [0] * len(locations), "Game 5": [0] * len(locations), "Game 6": [0] * len(locations), "Game 7": [0] * len(locations), "Game 8": [0] * len(locations), "Game 9": [0] * len(locations), } df = pd.DataFrame(data) # Save to an Excel file file_path = "/mnt/data/Fortnite_Landing_Tracker.xlsx" df.to_excel(file_path, index=False) file_path Result '/mnt/data/Fortnite_Landing_Tracker.xlsx'
Editor is loading...
Leave a Comment