cambridge-mask-stats 0.6.0

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

Cambridge Masks Stats

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

the program is in the alpha phase. this means that the api will probably change often. when running it in the terminal, care is taken to maintain the syntax if possible. this description also only deals with the terminal. the api will be described in the documentation of the code, if this is necessary. it is tried to write the code in a way that it is easy to understand.

requirements

python version

Python >= 3.6

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>

abbreviations in the output

• hrs -> hours
• pct -> percent | percentage
• mean_min_d -> mean minutes daily
• sum_min -> summary minutes
• sum_hrs -> summary hours

example

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

output

******************* StatsMasks *******************
worn | wear           hrs    pct
id model                        
1  The Admiral Pro     73  21.47
2  The Churchill Pro  235  69.12

******************* StatsDate ********************
worn | wear  mean_min_d  sum_min  sum_hrs    pct
2020-08-31           58       58        0   0.28
2020-09-30            9      278        4   1.36
2020-10-31           39     1237       20   6.06
2020-11-30          107     3235       53  15.86
2020-12-31           62     1940       32   9.51
2021-01-31           49     1520       25   7.45
2021-02-28           52     1478       24   7.25
2021-03-31           52     1618       26   7.93
2021-04-30           58     1749       29   8.57
2021-05-31           56     1750       29   8.58
2021-06-30           57     1715       28   8.41
2021-07-31           46     1446       24   7.09
2021-08-31           54      492        8   2.41