plotlyimex is a Python script that generates interactive maps from CSV files using the Plotly library. The script allows users to choose between different plot types and export the generated maps as HTML files. I personally use this script to display information exported from Cellebrite UFED.

• Load CSV files with specific columns: latitude, longitude, id, userId, lastSeenAt, speed, direction, source
• Choose from three plot types: Scatter Plot, Density Plot, Lines Plot
• Option to export all three plot types automatically
• Interactive map visualization using Plotly
• Customizable delimiter for CSV files (comma or semicolon)

• Python 3.6 or higher
• The following Python packages (listed in requirements.txt):
  • pandas==1.5.3
  • plotly==5.10.0

1. Clone Git:

   git clone https://github.com/ot2i7ba/plotlyimex.git
   cd EASurvival

2. Install the required Python packages:

   pip install -r requirements.txt

1. Run the script:

   python plotlyimex.py

2. Follow the prompts:

• CSV Filename: Enter the name of the CSV file you want to load (default is import.csv).
• Delimiter: Enter the delimiter used in the CSV file (',' for comma, ';' for semicolon, default is ',').
• Plot Type: Choose a plot type from the list:
  • 1: Scatter Plot
  • 2: Density Plot
  • 3: Lines Plot
  • A: All (generate and export all three plot types)
• Output HTML Filename: Enter the name of the output HTML file (default is based on the plot type, e.g., export_scatter.html).

A compiled and 7zip-packed version of PlotlyImex for Windows is available as a release. You can download it from the Releases section on GitHub. This version includes all necessary dependencies and can be run without requiring Python to be installed on your system.

Here is an example of running the script and its output:

$ python plotlyimex.py

 plotlyimex v0.1.0 by ot2i7ba
==============================

Please provide a CSV file with the following columns: latitude, longitude, id, userId, lastSeenAt, speed, direction, source.
The file should ideally be comma-separated.
Input csv filename (enter for 'import.csv'): mydata.csv

Enter the delimiter used in the CSV file (',' for comma, ';' for semicolon, default is ','): ,

Choose a plot type:
1. Scatter Plot
2. Density Plot
3. Lines Plot
A. All

Enter the number of the plot type (default is 1): 1

Output html filename (enter for 'export_scatter.html'): my_scatter_plot.html
Plot saved as my_scatter_plot.html

Special thanks to the Plotly team for their amazing visualization library.

This project is licensed under the MIT license, providing users with flexibility and freedom to use and modify the software according to their needs.

This project is provided without warranties. Users are advised to review the accompanying license for more information on the terms of use and limitations of liability.