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Program to output the wearing time and other statistics of a Cambridge N99 | FFP2 mask.

Project description

Cambridge Masks Stats

Program to output the wearing time and other statistics of a Cambridge N99 | FFP2 mask .the project is currently in the alpha phase. here only the execution in the terminal is dealt with.

requirements

python version

Python >= 3.5

dependencies

numpy==1.21.1
pandas==1.3.1
python-dateutil==2.8.2
pytz==2021.1
six==1.16.0

pip installation (with dependencies)

pip install cambridge-mask-stats

csv file

the CSV file to import needs the following header:

date,id,model,aqi_level,minutes_worn

  • date -> format yyyy-mm-dd
  • id -> mask id. preferably consecutive numbering
  • model -> mask model like 'The Churchill Pro'
  • aqi_level -> from 1-5 according to the data in the manual (1 = aqi below 50, 2 = 50 - 100 ...)
  • minutes_worn -> minutes worn on this date

execute

mask-stats <FILEPATH>

example

masks-stats /home/w01fdev/Documents/masks.csv

output:

[TOTAL WORN TIME]
ID MASK                      HOURS
 1 The Admiral Pro           3
 2 The Churchill Pro         142

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