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A:
At very least you can use this :
import re
import pandas as pd
# as in, newname = os.rename(oldname, newname)
with open(r’file.txt’, ‘rt’) as f:
for line in f:
newname = re.sub(“.*(\d{4})\D”, r’\1′, line)
newname = re.sub(r”[^\d]+”,”, newname)
if newname!=”:
print(line)
print(newname)
pd.DataFrame([newname]*10).to_csv(‘temp.txt’, index = False)
# It will write the dataset with header into temp.txt but you can remove it
# if you need to keep the header
Ex:
import re
import pandas as pd
# as in, newname = os.rename(oldname, newname)
with open(r’file.txt’, ‘rt’) as f:
for line in f:
newname = re.sub(“.*(\d{4})\D”, r’\1′, line)
newname = re.sub(r”[^\d]+”,”, newname)
if newname!=”:
print(line)
print(newname)
pd.DataFrame([newname]*10).to_csv(‘temp.txt’, index = False)
# It will write the dataset with header into temp.txt but you can remove it
# if you need to keep the header
Q:
Cases for use of attributes in VB.NET?
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