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cambridge-mask-stats-0.9.1
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مشاهده بیشترتوضیحات
Program to output the wearing time and other statistics of a Cambridge N99 | FFP2 mask.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cambridge-mask-stats-0.9.1 |
| نام | cambridge-mask-stats |
| نسخه کتابخانه | 0.9.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | w01f |
| ایمیل نویسنده | w01f@w01f.dev |
| آدرس صفحه اصلی | https://github.com/w01fdev/cambridge-mask-stats |
| آدرس اینترنتی | https://pypi.org/project/cambridge-mask-stats/ |
| مجوز | GPL-3.0 |
# Cambridge Mask Stats
**Application 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. the code is written in such a way that the syntax
in the console is maintained or at least only minimal changes are made. 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.
the application is intended exclusively for the pro version of the cambridge
mask, which should be worn for a maximum of 340 hours. the minutes are
calculated automatically for aqi_level higher than 2, so that the wear is
displayed correctly.
if there is no entry in the csv for a day between the start and end date, the
time carried is automatically set to 0 for that day. this means that for months
that lie between the start and end month *count_d* also counts the days for
which the mask was not worn or for which there is no entry in the csv file.
when predicting the end of life of a mask, the average value in minutes for the
number of days (standard: 30) passed in the argument *days* for the calculation.
if there is no value for one of these days, the value for this day is
calculated as 0. the mean value is calculated from all masks worn, not per mask.
**only 1 mask per day can be recorded! Otherwise there is a *ValueError*.**
## requirements
### python version
`Python >= 3.6`
### dependencies
```text
numpy==1.21.2
pandas==1.3.2
python-dateutil==2.8.2
pytz==2021.1
six==1.16.0
```
## pip installation (with dependencies)
```shell
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
```shell
mask-stats <FILEPATH>
```
## abbreviations in the output
* count_d -> days in the month for which data are available
* eol_d -> prediction in how many days the mask will probably reach its end of life
* eol_date -> prediction on which date the mask will probably reach the end of life
* hrs -> hours (really worn)
* mean_min_d -> mean minutes daily
* pct -> percent | percentage (determined from sum_min_ratio)
* sum_hrs -> summary hours
* sum_min -> summary minutes
* worn_d -> days worn
* *_ratio -> values under consideration of the ratio (aqi_level > 2)
#### usage
```text
usage: masks-stats [-h] [--days DAYS] file
positional arguments:
file
optional arguments:
-h, --help show this help message and exit
--days DAYS, -d DAYS days to be used in the end of life prediction. enter 0 for all [default: 30]
```
#### examples
```shell
masks-stats /home/w01fdev/Documents/masks.csv
```
#### output
```text
******************* StatsMasks *******************
worn | wear hrs hrs_ratio worn_d pct eol_d eol_date
id model
1 The Admiral Pro 10 12 7 3.53 335 2022-08-07
2 The Churchill Pro 15 27 22 7.94 319 2022-07-22
***************** StatsDateRange *****************
worn | wear count_d mean_min_d mean_min_d_ratio sum_min sum_min_ratio sum_hrs sum_hrs_ratio pct
2020-08-31 1 58 58 58 58 0 0 0.28
2020-09-30 30 9 18 278 563 4 9 2.76
2020-10-31 31 39 56 1237 1759 20 29 8.62
```
## list of possible extensions
- output of plots
- percentage change in wearing time compared to last month
نیازمندی
| مقدار | نام |
|---|---|
| - | numpy |
| - | pandas |
| - | python-dateutil |
| - | pytz |
| - | six |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl cambridge-mask-stats-0.9.1:
pip install cambridge-mask-stats-0.9.1.whl
نصب پکیج tar.gz cambridge-mask-stats-0.9.1:
pip install cambridge-mask-stats-0.9.1.tar.gz