I have a list which contains list of file names, i wanted to sort based on timestamp, which ( i.e timestamp ) is inbuild in each file name.
Note: In file, Hello_Hi_2015-02-20T084521_1424543480.tar.gz --> 2015-02-20T084521 represents as "year-moth-dayTHHMMSS" ( Based on this i wanted to sort )
Input file below:
file_list = ['Hello_Hi_2015-02-20T084521_1424543480.tar.gz',
'Hello_Hi_2015-02-20T095845_1424543481.tar.gz',
'Hello_Hi_2015-02-20T095926_1424543481.tar.gz',
'Hello_Hi_2015-02-20T100025_1424543482.tar.gz',
'Hello_Hi_2015-02-20T111631_1424543483.tar.gz',
'Hello_Hi_2015-02-20T111718_1424543483.tar.gz',
'Hello_Hi_2015-02-20T112502_1424543483.tar.gz',
'Hello_Hi_2015-02-20T112633_1424543484.tar.gz',
'Hello_Hi_2015-02-20T113427_1424543484.tar.gz',
'Hello_Hi_2015-02-20T113456_1424543484.tar.gz',
'Hello_Hi_2015-02-20T113608_1424543484.tar.gz',
'Hello_Hi_2015-02-20T113659_1424543485.tar.gz',
'Hello_Hi_2015-02-20T113809_1424543485.tar.gz',
'Hello_Hi_2015-02-20T113901_1424543485.tar.gz',
'Hello_Hi_2015-02-20T113955_1424543485.tar.gz',
'Hello_Hi_2015-03-20T114122_1424543485.tar.gz',
'Hello_Hi_2015-02-20T114532_1424543486.tar.gz',
'Hello_Hi_2015-02-20T120045_1424543487.tar.gz',
'Hello_Hi_2015-02-20T120146_1424543487.tar.gz',
'Hello_WR_2015-02-20T084709_1424543480.tar.gz',
'Hello_WR_2015-02-20T113016_1424543486.tar.gz']
Output should be:
file_list = ['Hello_Hi_2015-02-20T084521_1424543480.tar.gz',
'Hello_WR_2015-02-20T084709_1424543480.tar.gz',
'Hello_Hi_2015-02-20T095845_1424543481.tar.gz',
'Hello_Hi_2015-02-20T095926_1424543481.tar.gz',
'Hello_Hi_2015-02-20T100025_1424543482.tar.gz',
'Hello_Hi_2015-02-20T111631_1424543483.tar.gz',
'Hello_Hi_2015-02-20T111718_1424543483.tar.gz',
'Hello_Hi_2015-02-20T112502_1424543483.tar.gz',
'Hello_Hi_2015-02-20T112633_1424543484.tar.gz',
'Hello_WR_2015-02-20T113016_1424543486.tar.gz',
'Hello_Hi_2015-02-20T113427_1424543484.tar.gz',
'Hello_Hi_2015-02-20T113456_1424543484.tar.gz',
'Hello_Hi_2015-02-20T113608_1424543484.tar.gz',
'Hello_Hi_2015-02-20T113659_1424543485.tar.gz',
'Hello_Hi_2015-02-20T113809_1424543485.tar.gz',
'Hello_Hi_2015-02-20T113901_1424543485.tar.gz',
'Hello_Hi_2015-02-20T113955_1424543485.tar.gz',
'Hello_Hi_2015-02-20T114532_1424543486.tar.gz',
'Hello_Hi_2015-02-20T120045_1424543487.tar.gz',
'Hello_Hi_2015-02-20T120146_1424543487.tar.gz',
'Hello_Hi_2015-03-20T114122_1424543485.tar.gz']
Below is the code which i have tried.
def sort( dir ):
os.chdir( dir )
file_list = glob.glob('Hello_*')
file_list.sort(key=os.path.getmtime)
print("\n".join(file_list))
return 0
Thanks in advance!!
So this worked for me and it sorted files by created time that did not have the time stamp in the name;
import os
import re
files = [file for file in os.listdir(".") if (file.lower().endswith('.gz'))]
files.sort(key=os.path.getmtime)
for file in sorted(files,key=os.path.getmtime):
print(file)
Would this work?
You could write list contents to a file line by line and read the file:
lines = sorted(open(open_file).readlines(), key = lambda line :
line.split("_")[2])
Further, you could print out lines.
Your code is trying to sort based on the filesystem-stored modified time, not the filename time.
Since your filename encoding is slightly sane :-) if you want to sort based on filename alone, you may use:
sorted(os.listdir(dir), key=lambda s: s[9:]))
That will do, but only because the timestamp encoding in the filename is sane: fixed-length prefix, zero-padded, constant-width numbers, going in sequence from biggest time reference (year) to the lowest one (second).
If your prefix is not fixed, you can try something with RegExp like this (which will sort by the value after the second underscore):
import re
pat = re.compile('_.*?(_)')
sorted(os.listdir(dir), key=lambda s: s[pat.search(s).end():])
Related
I'm trying to find how to stop a os.walk after it has walked through a particular file.
I have a directory of log files organized by date. I'm trying to replace grep searches allowing a user to find ip addresses stored in a date range they specify.
The program will take the following arguments:
-i ipv4 or ipv6 address with subnet
-s start date ie 2013/12/20 matches file structure
-e end date
I'm assuming because the topdown option their is a logic that should allow me to declare a endpoint, what is the best way to do this? I'm thinking while loop.
I apologize in advance if something is off with my question. Just checked blood sugar, it's low 56, gd type one.
Additional information
The file structure will be situated in flows/index_border as such
2013
--01
--02
----01
----...
----29
2014
___________Hope this is clear, year folder contains month folders, containing day folders, containing hourly files. Dates increase downwards.___________________
The end date will need to be inclusive, ( I didn't focus too much on it because I can just add code to move one day up)
I have been trying to make a date range function, I was surprised I didn't see this in any datetime docs, seems like it would be useful.
import os, gzip, netaddr, datetime, argparse
startDir = '.'
def sdate_format(s):
try:
return (datetime.datetime.strptime(s, '%Y/%m/%d').date())
except ValueError:
msg = "Bad start date. Please use yyyy/mm/dd format."
raise argparse.ArgumentTypeError(msg)
def edate_format(e):
try:
return (datetime.datetime.strptime(e, '%Y/%m/%d').date())
except ValueError:
msg = "Bad end date. Please use yyyy/mm/dd format."
raise argparse.ArgumentTypeError(msg)
parser = argparse.ArgumentParser(description='Locate IP address in log files for a particular date or date range')
parser.add_argument('-s', '--start_date', action='store', type=sdate_format, dest='start_date', help='The first date in range of interest.')
parser.add_argument('-e', '--end_date', action='store', type=edate_format, dest='end_date', help='The last date in range of interest.')
parser.add_argument('-i', action='store', dest='net', help='IP address or address range, IPv4 or IPv6 with optional subnet accepted.', required=True)
results = parser.parse_args()
start = results.start_date
end = results.end_date
target_ip = results.net
startDir = '/flows/index_border/{0}/{1:02d}/{2:02d}'.format(start.year, start.month, start.day)
print('searching...')
for root, dirs, files in os.walk(startDir):
for contents in files:
if contents.endswith('.gz'):
f = gzip.open(os.path.join(root, contents), 'r')
else:
f = open(os.path.join(root, contents), 'r')
text = f.readlines()
f.close()
for line in text:
for address_item in netaddr.IPNetwork(target_IP):
if str(address_item) in line:
print line,
You need to describe what works or does not work. The argparse of your code looks fine, though I haven't done any testing. The use of type is refreshingly correct. :) (posters often misuse that parameter.)
But as for the stopping, I'm guessing you could do:
endDir = '/flows/index_border/{0}/{1:02d}/{2:02d}'.format(end.year, end.month, end.day)
for root, dirs, files in os.walk(startDir):
for contents in files:
....
if endDir in <something based on dirs and files>:
break
I don't know enough your file structure to be more specific. It's also been sometime since I worked with os.walk. In any case, I think a conditional break is the way to stop the walk early.
#!/usr/bin/env python
import os, gzip, netaddr, datetime, argparse, sys
searchDir = '.'
searchItems = []
def sdate_format(s):
try:
return (datetime.datetime.strptime(s, '%Y/%m/%d').date())
except ValueError:
msg = "Bad start date. Please use yyyy/mm/dd format."
raise argparse.ArgumentTypeError(msg)
def edate_format(e):
try:
return (datetime.datetime.strptime(e, '%Y/%m/%d').date())
except ValueError:
msg = "Bad end date. Please use yyyy/mm/dd format."
raise argparse.ArgumentTypeError(msg)
parser = argparse.ArgumentParser(description='Locate IP address in log files for a particular date or date range')
parser.add_argument('-s', '--start_date', action='store', type=sdate_format, dest='start_date',
help='The first date in range of interest.', required=True)
parser.add_argument('-e', '--end_date', action='store', type=edate_format, dest='end_date',
help='The last date in range of interest.', required=True)
parser.add_argument('-i', action='store', dest='net',
help='IP address or address range, IPv4 or IPv6 with optional subnet accepted.', required=True)
results = parser.parse_args()
start = results.start_date
end = results.end_date + datetime.timedelta(days=1)
target_IP = results.net
dateRange = end - start
for addressOfInterest in(netaddr.IPNetwork(target_IP)):
searchItems.append(str(addressOfInterest))
print('searching...')
for eachDay in range(dateRange.days):
period = start+datetime.timedelta(days=eachDay)
searchDir = '/flows/index_border/{0}/{1:02d}/{2:02d}'.format(period.year, period.month, period.day)
for contents in os.listdir(searchDir):
if contents.endswith('.gz'):
f = gzip.open(os.path.join(searchDir, contents), 'rb')
text = f.readlines()
f.close()
else:
f = open(os.path.join(searchDir, contents), 'r')
text = f.readlines()
f.close()
#for line in text:
# break
for addressOfInterest in searchItems:
for line in text:
if addressOfInterest in line:
# if str(address_item) in line:
print contents
print line,
I was banging my head, because I thought I was printing a duplicate. Turns out the file I was given to test has duplication. I ended up removing os.walk due to the predictable nature of the file system, but #hpaulj did provide a correct solution. Much appreciated!
I'm trying to pull two of the same files into python in different dataframes, with the end goal of comparing what was added in the new file and removed from the old. So far, I've got code that looks like this:
In[1] path = r'\\Documents\FileList'
files = os.listdir(path)
In[2] files_txt = [f for f in files if f[-3:] == 'txt']
In[3] for f in files_txt:
data = pd.read_excel(path + r'\\' + f)
df = df.append(data)
I've also set a variable to equal the current date minus a certain number of days, which I want to use to pull the file that has a date equal to that variable:
d7 = dt.datetime.today() - timedelta(7)
As of now, I'm unsure of how to do this, as the first part of the filename always remains the same but they add numbers at the end (eg. file_03232016 then file_03302016). I want to parse through the directory for the beginning part of the filename and add it to a dataframe if it matches the date parameter I set.
EDIT: I forgot to add that sometimes I also need to look at the system date created timestamp, as the text date in the file name isn't always there.
Here are some modifications to your original code to get a list of files containing your target date. You need to use strftime.
import os
from datetime import timedelta
d7 = dt.datetime.today() - timedelta(7)
target_date_str = d7.strftime('_%m%d%Y')
files_txt = [f for f in files if f[-13:] == target_date_str + '.txt']
>>> target_date_str + '.txt'
'_03232016.txt'
data = []
for f in files_txt:
data.append(pd.read_excel(os.path.join(path, f))
df = pd.concat(data, ignore_index=True)
Use strftime in order to represent your datetime variable as a string with desired format and glob for searching files by file mask in the directory:
import datetime as dt
import glob
fmask = r'\\Documents\FileList\*' + (dt.datetime.today() - dt.timedelta(7)).strftime('%m%d%Y') + '*.txt'
files_txt = glob.glob(fmask)
# concatenate all CSV/txt files into one data frame
df = pd.concat([pd.read_csv(f) for f in files_txt], ignore_index=True)
PS I guess you want to use read_csv instead of read_excel when working with txt files unless you really have excel files with txt extension?
I have a files like this.
1.stream0106.wav
2.stream0205.wav
3.steram0304.wav
I need to rename "01" in a file name as "_C" & "06" as "_LFE1" Like this.This new names I have in csv file like below.
Can you please guuide me for this.
I'm not sure if you want the "01" to be replaced or appended. The csv titles make it confusing.
I would first make the csv file start in column A and row 1 to make reading it in easier for you.
If you are appending names this should work
import os
import csv
# Assuming files are just in current directory
wav_files = [f for f in os.listdir('.') if f.endswith('.wav')]
with open('your_file.csv', 'rb') as csv_file:
mappings = [row.strip().split(',' ) for row in csv_file.readlines()[1:]]
for f in wav_files:
for digit, name in mappings:
if f[:-4].endswith(digit):
new_name = f.replace(digit,name)
os.rename(f, new_name)
break
EDIT
Old Name,New Name
00,_0
01,_C
02,_L
03,_R
04,_Ls
05,_Rs
06,_LFE1
07,_Cs
This can be achieved by just having them in excel starting at Col A and Row 1
Ok, I've tried all the methods in Convert a list to a dictionary in Python, but I can't seem to get this to work right. I'm trying to convert a list that I've made from a .txt file into a dictionary. So far my code is:
import os.path
from tkinter import *
from tkinter.filedialog import askopenfilename
import csv
window = Tk()
window.title("Please Choose a .txt File")
fileName = askopenfilename()
classInfoList = []
classRoster = {}
with open(fileName, newline = '') as listClasses:
for line in csv.reader(listClasses):
classInfoList.append(line)
The .txt file is in the format:
professor
class
students
An example would be:
Professor White
Chem 101
Jesse Pinkman, Brandon Walsh, Skinny Pete
The output I desire would be a dictionary with professors as the keys, and then the class and list of students for the values.
OUTPUT:
{"Professor White": ["Chem 101", [Jesse Pinkman, Brandon Walsh, Skinny Pete]]}
However, when I tried the things in the above post, I kept getting errors.
What can I do here?
Thanks
Since the data making up your dictionary is on consecutive lines, you will have to process three lines at once. You can use the next() method on the file handle like this:
output = {}
input_file = open('file1')
for line in input_file:
key = line.strip()
value = [next(input_file).strip()]
value.append(next(input_file).split(','))
output[key] = value
input_file.close()
This would give you:
{'Professor White': ['Chem 101',
['Jesse Pinkman, Brandon Walsh, Skinny Pete']]}
I have the following question in Python 2.7:
I have 20 different txt-files, each with exactly one column of numbers. Now - as an output - I would like to have one file with all those columns together. How can I concatenate one-column files in Python ? I was thinking about using the fileinput module, but I fear, I have to open all my different txt files at once ?
My idea:
filenames = ['input1.txt','input2.txt',...,'input20.txt']
import fileinput
with open('/path/output.txt', 'w') as outfile:
for line in fileinput.input(filenames)
write(line)
Any suggestions on that ?
Thanks for any help !
A very simply (naive?) solution is
filenames = ['a.txt', 'b.txt', 'c.txt', 'd.txt']
columns = []
for filename in filenames:
lines = []
for line in open(filename):
lines.append(line.strip('\n'))
columns.append(lines)
rows = zip(*columns)
with open('output.txt', 'w') as outfile:
for row in rows:
outfile.write("\t".join(row))
outfile.write("\n")
But on *nix (including OS X terminal and Cygwin), it's easier to
$ paste a.txt b.txt c.txt d.txt
from the command line.
My suggestion: a little functional approach. Using list comprehension to zip the file being read, to the accumulated columns, and then join them to be a string again, one column (file) at a time:
filenames = ['input1.txt','input2.txt','input20.txt']
outputfile = 'output.txt'
#maybe you need to separate each column:
separator = " "
separator_list = []
output_list = []
for f in filenames:
with open(f,'r') as inputfile:
if len(output_list) == 0:
output_list = inputfile.readlines()
separator_list = [ separator for x in range(0, len(outputlist))]
else:
input_list = inputfile.readlines()
output_list = [ ''.join(x) for x in [list(y) for y in zip(output_list, separator_list, input_list)]
with open(outputfile,'w') as output:
output.writelines(output_list)
It will keep in memory the accumulator for the result (output_list), and one file at a time (the one being read, which is also the only file open for reading), but may be a little slower, and, of course, it is not fail-proof.