Realtime Dashboard with Python

Introduction

What is needed

• Read the CSV file in a robust manner
• Make some maths a
• Plot and update the graphs
• Show the map and GNSS coordinates

Read the CSV

See https://labex.io/tutorials/python-how-to-implement-robust-error-handling-in-python-csv-processing-398214

Common errors

• CSV Parsing Errors
  • csv.Error: the CSV file has an invalid or unexpected format, such as missing or extra delimiters.
  • UnicodeDecodeError: the CSV file contains characters that cannot be decoded using the default encoding
• Data-related Errors
  • ValueError: CSV file does not match the expected data type or format.
  • IndexError: trying to access a row or column that does not exist in the CSV file.

We will skip the erratic data.

Real time plotting

Create GUI: https://blog.finxter.com/5-best-ways-to-display-real-time-graphs-in-a-simple-ui-for-a-python-program/

• Matplotlib
• Pyqtgraph with PyQt5
• Plotly with Dash
• Bokeh
• liveplot package

Update Matplotlib

• https://stackoverflow.com/questions/4098131/how-to-update-a-plot-in-matplotlib/4098938#4098938
• https://stackoverflow.com/questions/4129697/how-do-i-display-real-time-graphs-in-a-simple-ui-for-a-python-program

GIS and maps

OSM Data files https://osmtoday.com/ or https://download.geofabrik.de/

pbf format:

• Pyosmium to efficiently read and process OpenStreetMap data files
• Pyrosm [on Windows installing geopandas with pip is likely to cause issues, hence, it is recommended to install Geopandas before installing pyrosm]
• Osmnx https://osmnx.readthedocs.io/en/stable/installation.html

https://pythongis.org/

• Interactive Maps
  • Leaflet.js
  • folium
  • visualize OpenStreetMap on a specific location.

GeoPandas.

Data in a Google Map with Python (https://thedatafrog.com/en/articles/show-data-google-map-python/)

• a Google Map API Key