** This is a old.txt file:
:100:ABCD :120:HELP :202:TEST//1234567 :203:PROD// :230:NEWBEE :240:DDDD// :250:FFFF// :200::DATE1//01-01-2019 :300::DATE2// :100:ABCD
The new file.txt file should look like
:100:ABCD :120:HELP :202:TEST// :203:PROD// :230:NEWBEE :240:DDDD// :250:FFFF// :200::DATE1// :300::DATE2// :100:ABCD
***This is what I have now but this will not remove
import os
texttofind= ':202::TEST//'
texttoreplace= ':202::TEST//{{TEST}}'
sourcepath = os.listdir('/Users/Testin/')
for file in sourcepath:
inputfile = '/Users/Testin/' file
print ('Convert is now ongoing :' inputfile)
with open (inputfile, 'r') as inputfile:
filedata = inputfile.read()
freq= 0
freq = filedata.count(texttofind)
destiationpath= '/Users/Testout/' file
filedata = filedata.replace(texttofind,texttoreplace)
with open(destiationpath,'w') as file:
file.write(filedata)
print ('Total %d Records Replaced' %freq)
** The result is this...(but I need the number 1234567(or any other number or character, to be removed before it can be replaced)
:10A:ABCD
:120:HELP
:202::TEST//{{TEST}}1234567
:203::PROD//
:230:NEWBEE
:240::DDDD//EEEE
:250::FFFF//FFFF
:20::DATE1//01012019
:30::DATE2//
:10B:ABCD
-}
CodePudding user response:
I can help you, just watch this video: https://youtu.be/857FiLpQtxk
CodePudding user response:
You probably don't need pandas, and even not python for that.
You could use sed:
sed 's|//[^ /]*|//|g' old.txt >new.txt
