Add some filters, look at the current location and enjoy the view :)
Before we start, please verify if you have:
Python 3
or more.- A
Windows
machine.
os
sys
PyQt5
pandas
folium
geopy
tzwhere
datetime
pytz
base64
io
numpy
mpl_toolkits
matplotlib
Do it easily just with
pip install <dependence>
for each one.
- Run
ISS_Coordinate_Files.py
for refresh the data. - Run the Browser
ISS_Live_Browser.py
You can also open the file
mp.html
locally, on your own browser.
Here are simple customizations for your viewer.
Dark Earth - 'cartodbdark_matter' & White Earth - 'cartodbpositron'
Vintage - 'stamenwatercolor' & Street Map - 'openstreetmap'
Earth Relief - 'stamenterrain'
You can also change the default zoom rate but, remember to fix the position (or the size) of the ISS image on the maker. Check this feature on the line 89 on the
ISS_Coordinate_Files.py
.
I really recommed the usage of the Live Browser here, it takes a better view of the map, so you can go for a next level with this:
pip install pyinstaller
Make both python files executable with pyinstaller and run it in a simple way.
- Fork this repo.
- Create a branch:
git checkout -b <branch_name>
- Make your code and:
git commit -m '<commit_message>'
- Send to the original branch:
git push origin ISS_Monitoring / main
- Make a pull request.