I am trying to modify a script so that it will remove duplicate lines from a text file using only the title portion of that line.
To clarify the text file lines look something like this:
Title|Image Url|Description|Page Url
At the moment the script does remove duplicates, but it does so by reading the entire line, not just the first part. All the lines in the file are not going to be 100% the same, but a few will be very similar.
I want to remove all of the lines that contain the same "title", regardless of what the rest of the line contains.
This is the script I am working with:
import sys
from collections import OrderedDict
infile = "testfile.txt"
outfile = "outfile.txt"
inf = open(infile,"r")
lines = inf.readlines()
inf.close()
newset = list(OrderedDict.fromkeys(lines))
outf = open(outfile,"w")
lstline = len(newset)
for i in range(0,lstline):
ln = newset[i]
outf.write(ln)
outf.close()
So far I have tried using .split() to split the lines in the list. I have also tried .readline(lines[0:25]) in hopes of using a character limit to achieve the desired results, but no luck so far. I also can't seem to find any documentation on my exact problem so I'm stuck.
I am using Windows 8 and Python 2.7.9 for this project if that helps.
I made a few changes to the program you had set up. First, I changed your file interactions to use "with" statements, since those are very convenient and automatically handle a lot of the functionality you had to write out. Second off, I used a set instead of an OrderedDict because you were basically just trying to emulate set functionality (exclusivity of elements) by using keys in an OrderedDict. If the title hasn't been used, it adds it to the set so it can't be used again and prints the line to the output file. If it has been used, it keeps going. I hope this helps you!
with open("testfile.txt") as infile:
with open("outfile.txt",'w') as outfile:
titleset = set()
for line in infile:
title = line.split('|')[0]
if title not in titleset:
titleset.add(title)
outfile.write(line)
Related
I am trying to build a tool that can convert .csv files into .yaml files for further use. I found a handy bit of code that does the job nicely from the link below:
Convert CSV to YAML, with Unicode?
which states that the line will take the dict created by opening a .csv file and dump it to a .yaml file:
out_file.write(ry.safe_dump(dict_example,allow_unicode=True))
However, one small kink I have noticed is that when it is run once, the generated .yaml file is typically incomplete by a line or two. In order to have the .csv file exhaustively read through to create a complete .yaml file, the code must be run two or even three times. Does anybody know why this could be?
UPDATE
Per request, here is the code I use to parse my .csv file, which is two columns long (with a string in the first column and a list of two strings in the second column), and will typically be 50 rows long (or maybe more). Also note that it designed to remove any '\n' or spaces that could potentially cause problems later on in the code.
csv_contents={}
with open("example1.csv", "rU") as csvfile:
green= csv.reader(csvfile, dialect= 'excel')
for line in green:
candidate_number= line[0]
first_sequence= line[1].replace(' ','').replace('\r','').replace('\n','')
second_sequence= line[2].replace(' ','').replace('\r','').replace('\n','')
csv_contents[candidate_number]= [first_sequence, second_sequence]
csv_contents.pop('Header name', None)
Ultimately, it is not that important that I maintain the order of the rows from the original dict, just that all the information within the rows is properly structured.
I am not sure what would cause could be but you might be running out of memory as you create the YAML document in memory first and then write it out. It is much better to directly stream it out.
You should also note that the code in the question you link to, doesn't preserve the order of the original columns, something easily circumvented by using round_trip_dump instead of safe_dump.
You probably want to make a top-level sequence (list) as in the desired output of the linked question, with each element being a mapping (dict).
The following parses the CSV, taking the first line as keys for mappings created for each following line:
import sys
import csv
import ruamel.yaml as ry
import dateutil.parser # pip install python-dateutil
def process_line(line):
"""convert lines, trying, int, float, date"""
ret_val = []
for elem in line:
try:
res = int(elem)
ret_val.append(res)
continue
except ValueError:
pass
try:
res = float(elem)
ret_val.append(res)
continue
except ValueError:
pass
try:
res = dateutil.parser.parse(elem)
ret_val.append(res)
continue
except ValueError:
pass
ret_val.append(elem.strip())
return ret_val
csv_file_name = 'xyz.csv'
data = []
header = None
with open(csv_file_name) as inf:
for line in csv.reader(inf):
d = process_line(line)
if header is None:
header = d
continue
data.append(ry.comments.CommentedMap(zip(header, d)))
ry.round_trip_dump(data, sys.stdout, allow_unicode=True)
with input xyz.csv:
id, title_english, title_russian
1, A Title in English, Название на русском
2, Another Title, Другой Название
this generates:
- id: 1
title_english: A Title in English
title_russian: Название на русском
- id: 2
title_english: Another Title
title_russian: Другой Название
The process_line is just some sugar that tries to convert strings in the CSV file to more useful types and strings without leading spaces (resulting in far less quotes in your output YAML file).
I have tested the above on files with 1000 rows, without any problems (I won't post the output though).
The above was done using Python 3 as well as Python 2.7, starting with a UTF-8 encoded file xyz.csv. If you are using Python 2, you can try unicodecsv if you need to handle Unicode input and things don't work out as well as they did for me.
I am trying to extract a dynamic value (static characters) from a csv file in a specific column and output the value to another csv.
The data element I am trying to extract is '12385730561818101591' from the value 'callback=B~12385730561818101591' located in a specific column.
I have written the below python script, but the output results are always blank. The regex '=(~[0-9]+)' was validated to successfully pull out the '12385730561818101591' value. This was tested on www.regex101.com.
When I use this in Python, no results are displayed in the output file. I have a feeling the '~' is causing the error. When I tried searching for '~' in the original CSV file, no results were found, but it is there!
Can the community help me with the following:
(1) Determine root cause of no output and validate if '~' is the problem. Could the problem also be the way I'm splitting the rows? I'm not sure if the rows should be split by ';' instead of ','.
import csv
import sys
import ast
import re
filename1 = open("example.csv", "w")
with open('example1.csv') as csvfile:
data = None
patterns = '=(~[0-9]+)'
data1= csv.reader(csvfile)
for row in data1:
var1 = row[57]
for item in var1.split(','):
if re.search(patterns, item):
for data in item:
if 'common' in data:
filename1.write(data + '\n')
filename1.close()
Here I have tried to write sample code. Hope this will help you in solving the problem:
import re
str="callback=B~12385730561818101591"
rc=re.match(r'.*=B\~([0-9A-Ba-b]+)', str)
print rc.group(1)
You regex is wrong for your example :
=(~[0-9]+) will never match callback=B~12385730561818101591 because of the B after the = and before the ~.
Also you include the ~ in the capturing group.
Not exatly sure what's your goal but this could work. Give more details if you have more restrictions.
=.+~([0-9]+)
EDIT
Following the new provided information :
patterns = '=.+~([0-9]+)'
...
result = re.search(patterns, item):
number = result.group(0)
filename1.write(number + '\n')
...
Concerning your line split on the \t (tabulation) you should show an example of the full line
I am trying to get this function to read an input file and output the lines from the input file into a new file. Pycharm keeps saying 'item' is not being used or it was used in the first for loop. I don't see why 'item' is a problem. It also won't create the new file.
input_list = 'persist_output_input_file_test.txt'
def persist_output(input_list):
input_file = open(input_list, 'rb')
lines = input_file.readlines()
input_file.close()
for item in input_list:
write_new_file = open('output_word.txt', 'wb')
for item in lines:
print>>input_list, item
write_new_file.close()
You have a few things going wrong in your program.
input_list seems to be a string denoting the name of a file. Currently you are iterating over the characters in the string with for item in input_list.
You shadow the already created variable item in your second for loop. I recommend you change that.
In Python, depending on which version you use, the correct syntax for printing a statement to the screen is print text(Python 2) or print(text)(Python 3). Unlike c++'s std::cout << text << endl;. << and >> are actually bit wise operators in Python that shift the bits either to the left or to the right.
There are a few issues in your implementation. Refer the following code for what you intend to do:
def persist_output(input_list):
input_file = open(input_list, 'rb')
lines = input_file.readlines()
write_new_file = open('output_word.txt', 'wb')
input_file.close()
for item in lines:
print item
write_new_file.write(item);
The issues with your earlier implementation are as follows:
In the first loop you are iterating in the input file name. If you intend to keep input_list a list of input files to be read, then you will also have to open them. Right now, the loop iterates through the characters in the input file name.
You are opening the output file in a loop. So, Only the last write operation will be successful. You would have to move the the file opening operation outside the loop(Ref: above code snippet) or edit the mode to 'append'. This can be done as follows:
write_new_file = open('output_word.txt', 'a')
There is a syntax error with the way you are using print command.
f=open('yourfilename','r').read()
f1=f.split('\n')
p=open('outputfilename','w')
for i in range (len(f1)):
p.write(str(f1[i])+'\n')
p.close()
hope this helps.
I'm very new to python. I'm working in the area of hydrology and I want to learn python to assist me with processing hydrological data.
At the moment I write a script to extract bits of information from a big data set. I have three csv files:
Complete_borelist.csv
Borelist_not_interested.csv
Elevation_info.csv
I want to create a file with has all the bores that are in complete_borelist.csv but not in borelist_not_interested.csv. I also want to grab some information from complete_borelist.csv and Elevation_info.csv for those bores which satisfy the first criteria.
My script is as follow:
not_interested_list =[]
outfile1 = open('output.csv','w')
outfile1.write('Station_ID,Name,Easting,Northing,Location_name,Elevation')
outfile1.write('\n')
with open ('Borelist_not_interested.csv','r') as f1:
for line in f1:
if not line.startswith('Station'): #ignore header
line = line.rstrip()
words = line.split(',')
station = words[0]
not_interested_list.append(station)
with open('Complete_borelist.csv','r') as f2:
next(f2) #ignore header
for line in f2:
line= line.rstrip()
words = line.split(',')
station = words[0]
if not station in not_interested_list:
loc_name = words[1]
easting = words[4]
northing = words[5]
outfile1.write(station+','+easting+','+northing+','+loc_name+',')
with open ('Elevation_info.csv','r') as f3:
next(f3) #ignore header
for line in f3:
line = line.rstrip()
data = line.split(',')
bore_id = data[0]
if bore_id == station:
elevation = data[4]
outfile1.write(elevation)
outfile1.write ('\n')
outfile1.close()
I have two issues with the script:
The first is the Elevation_info.csv doesn't have information for all the bore in the Complete_borelist.csv. When my loop get to the station where it can't find Elevation record for it, the script doesn't write "null" but continue to write the information for the next station in the same line. Can anyone help me to fix this please?
The second is my complete borelist is about >200000 rows and my script runs through them very slow. Can anyone have any suggestion to make it run faster?
Very much appreciated and sorry if my question is too long.
performance-wise, this has a couple of problems. The first one is that you are opening and re-reading the Elevation info for every line of the complete file.. Read the elevation info into a dictionary keyed upon the bore_id before you open the complete file. Then you can test the dictionary very fast to see if station is in it instead of re-reading.
The second performance issue is that you don't stop searching in the bore_id list once you find a match. The dictionary idea solves that too, but otherwise a break once you have a match would help a little.
For the null printing problem, you just need to outfile1.write("\n") if the bore_id is not in the dictionary. An else statement on the dictionary test does that. In the current code, an else closing the for loop would do it. Or even changing the indentation of that last write("\n").
Hi so I'm trying to use find and replace in notepad++ with regular expression to do the following:
I have two set of lines
first set:
[c][eu][e]I37ANKCB[/e]
[c][eu][e]OIL8ZEPW[/e]
[c][eu][e]4OOEL75O[/e]
[c][eu][e]PPNW5FN4[/e]
[c][eu][e]E2BXCWUO[/e]
[c][eu][e]SD9UQNT8[/e]
[c][eu][e]E6BK6IGO[/e]
second set:
[u]7ubju2jvioks[u2]_261
[u]89j408tah1lz[u2]_262
[u]j673xnd49tq0[u2]_263
[u]dv73osmh1wzu[u2]_264
[u]twz3u4yiaeqr[u2]_265
[u]cuhtg6r71kud[u2]_266
[u]yts0ktvt9a3r[u2]_267
now I want to the second set to by places after each of the first set like this:
[c][eu][e]I37ANKCB[/e][u]7ubju2jvioks[u2]_261
[c][eu][e]OIL8ZEPW[/e][u]89j408tah1lz[u2]_262
[c][eu][e]4OOEL75O[/e][u]j673xnd49tq0[u2]_263
[c][eu][e]PPNW5FN4[/e][u]dv73osmh1wzu[u2]_264
[c][eu][e]E2BXCWUO[/e][u]twz3u4yiaeqr[u2]_265
[c][eu][e]SD9UQNT8[/e][u]cuhtg6r71kud[u2]_266
[c][eu][e]E6BK6IGO[/e][u]yts0ktvt9a3r[u2]_267
any suggestions?
You can mark the second block in column mode using ALT and the left mouse button. Then just copy paste it at the end of the first row.
No need/Not possible using regex.
I would solve this via a simple script written in Python or Ruby or something equally quick. This works, for example:
import os
path = os.path.dirname(__file__)
with open(os.path.join(path, 'file1')) as file1:
with open(os.path.join(path, 'file2')) as file2:
lines = zip(file1.readlines(), file2.readlines())
print ''.join([a.rstrip() + b for a, b in lines])
Running it gives the correct result:
> python join.py
[c][eu][e]I37ANKCB[/e][u]7ubju2jvioks[u2]_261
[c][eu][e]OIL8ZEPW[/e][u]89j408tah1lz[u2]_262
[c][eu][e]4OOEL75O[/e][u]j673xnd49tq0[u2]_263
[c][eu][e]PPNW5FN4[/e][u]dv73osmh1wzu[u2]_264
[c][eu][e]E2BXCWUO[/e][u]twz3u4yiaeqr[u2]_265
[c][eu][e]SD9UQNT8[/e][u]cuhtg6r71kud[u2]_266
[c][eu][e]E6BK6IGO[/e][u]yts0ktvt9a3r[u2]_267
Customize to suit your needs.