PAC analytics toolkit for primary care data processing and reporting
Project description
pac-stats
PAC analytics toolkit for primary care (PCN) reporting.
Install
pip install pac-stats
Usage
from pac_stats import full_process
practice_one = pd.read_html(r"X:\File Path\PAC & MDT Master Search.html") # r"<File Path for practice report from EMIS>"
practice_one = practice_one[0] # get the dataframe from list created by read html
practice_one = practice_one[~practice_one.isnull().all(axis=1)] # remove null rows caused by confidential hidden patients
practice_one['Practice'] = 'Practice Name' # Practice Name or Abbreviation
practice_two = pd.read_html(r"X:\File Path\PAC & MDT Master Search.html") # r"<File Path for practice report from EMIS>"
practice_two = practice_one[0] # get the dataframe from list created by read html
practice_two = practice_one[~practice_one.isnull().all(axis=1)] # remove null rows caused by confidential hidden patients
practice_two['Practice'] = 'Practice Name' # Practice Name or Abbreviation
reports = [practice_one, practice_two]
icb, extended = full_process(
reports=reports,
pac_staff=pac_staff,
export_path=r"C:\exports\output.xlsx"
)
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