tashrifbillah

import pandas as pd

# cd /data/predict1/to_nda/nda-submissions
df=pd.read_csv('blood_saliva_rack_Pronet.csv')

index=[]
for i,row in df.iterrows():


    rc=row['Rack Code']

tashrifbillah

#!/usr/bin/env python

import sys
import pandas as pd

df=pd.read_csv(sys.argv[1],dtype=str)
df1=df.copy()

df1.rename(columns={'chric_record_id':'participant_id'},inplace=True)
df1["redcap_system_data_format_version"]=1

tashrifbillah

#!/usr/bin/env python

from glob import glob
from os.path import isfile, basename
import pandas as pd

subjects=glob('/data/predict1/data_from_nda/Pronet/PHOENIX/PROTECTED/*/raw/*')
subjects=[basename(s) for s in subjects]

print('for how many subjects inclusionexclusion_criteria_review does not exist?')

tashrifbillah

# execute it from within /data/predict1/data_from_nda/Prescient/PHOENIX/GENERAL

from os.path import dirname, join as pjoin
import pandas as pd
from glob import glob

files=glob('*/processed/*/interviews/open/*_combinedQCRecords.csv')

j=0
for file in files:

tashrifbillah

import pandas as pd

# this is API pulled from Yale REDCap
filename='pronet_dict_20230321.csv'
df=pd.read_csv(filename, dtype=str)

df1=df.copy()

# erase calcs, logics
# replace calc by text

tashrifbillah

#!/usr/bin/env python

import pandas as pd
from glob import glob


def get_count():

    for file in files:
        df=pd.read_csv(file)

tashrifbillah

// count good

let demographs;
let count=0;
let incl;
let csv;
let coll;

demographs=db.toc.find({"assessment":"form_sociodemographics"})
// print(demographs.length())

tashrifbillah

#!/usr/bin/env python

# detect files with excess rows

# cd /data/predict1/data_from_nda/formqc/

from glob import glob
import pandas as pd

files=glob('??-*-form_*day1to*csv')

tashrifbillah

#!/bin/bash

# master script
for p in $(cat ip_addr.txt)
do
    echo -n 172.21.$p,; ssh [email protected].$p -i ~/.ssh/id_ecdsa -o StrictHostKeyChecking=no -C "~/get_mac_addr.sh"; done
    
# slave script
str1=`ip addr | grep BROADCAST,MULTICAST,UP,LOWER_UP`
IFS=': ' read -ra names <<< $str1

tashrifbillah

#!/usr/bin/env python

from os import getcwd, chdir
import pandas as pd
import json
from glob import glob

var_col='field_name'
form_col='form_name'
type_col='field_type'