While executing the following code i'm getting below error, Just for information matchObj here returns a tuple value ..
$ ./ftpParser3_re_dup.py
Traceback (most recent call last):
File "./ftpParser3_re_dup.py", line 13, in <module>
print("{0:<30}{1:<20}{2:<50}{3:<15}".format("FTP ACCOUNT","Account Type","Term Flag"))
IndexError: tuple index out of range
Code is below:
from __future__ import print_function
from signal import signal, SIGPIPE, SIG_DFL
signal(SIGPIPE,SIG_DFL)
import re
with open('all_adta', 'r') as f:
for line in f:
line = line.strip()
data = f.read()
# Making description & termflag optional in the regex pattern as it's missing in the "data_test" file with several occurrences.
regex = (r"dn:(.*?)\nftpuser: (.*)\n(?:description:* (.*))?\n(?:termflag:* (.*))")
matchObj = re.findall(regex, data)
print("{0:<30}{1:<20}{2:<50}{3:<15}".format("FTP ACCOUNT","Account Type","Term Flag"))
print("{0:<30}{1:<20}{2:<50}{3:<15}".format("-----------","------------","--------"))
for index in matchObj:
index_str = ' '.join(index)
new_str = re.sub(r'[=,]', ' ', index_str)
new_str = new_str.split()
# In below print statement we are using "index[2]" as index is tuple here, this is because
# findall() returns the matches as a list, However with groups, it returns it as a list of tuples.
print("{0:<30}{1:<20}{2:<50}{3:<15}".format(new_str[1],new_str[8],index[2],index[3]))
In the line print("{0:<30}{1:<20}{2:<50}{3:<15}".format("FTP ACCOUNT","Account Type","Term Flag")) you have mentioned 4 indices but given only 3 i.e. "FTP ACCOUNT","Account Type","Term Flag"
Remove the 4th index or add a new one
Related
I have 5 functions working relatively
1- singleline_diff(line1, line2)
comparing 2 line in one file
Inputs:
line1 - first single line string
line2 - second single line string
Output:
the index of the first difference between the two lines
identical if the two lines are the same.
2- singleline_diff_format(line1, line2, idx):
comparing 2 line in one file
Inputs:
line1 - first single line string
line2 - second single line string
idx - index at which to indicate difference (from 1st function)
Output:
abcd (first line)
==^ (= indicate identical character, ^ indicate the difference)
abef (second line)
If either input line contains a newline or carriage return,
then returns an empty string.
If idx is not a valid index, then returns an empty string.
3- multiline_diff(lines1, lines2):
deal with two lists of lines
Inputs:
lines1 - list of single line strings
lines2 - list of single line strings
Output:
a tuple containing the line number (starting from 0) and
the index in that line where the first difference between lines1
and lines2 occurs.
Returns (IDENTICAL, IDENTICAL) if the two lists are the same.
4-get_file_lines(filename)
Inputs:
filename - name of file to read
Output:
a list of lines from the file named filename.
If the file does not exist or is not readable, then the
behavior of this function is undefined.
5- file_diff_format(filename1, filename2) " the function with the problem"
deals with two input files
Inputs:
filename1 - name of first file
filename2 - name of second file
Output:
four line string showing the location of the first
difference between the two files named by the inputs.
If the files are identical, the function instead returns the
string "No differences\n".
If either file does not exist or is not readable, then the
behavior of this function is undefined.
testing the function:
everything goes will until it the test use one empty file
it gave me "list index out of range"
this is the code I use
def file_diff_format(filename1, filename2):
file_1 = get_file_lines(filename1)
file_2 = get_file_lines(filename2)
mli_dif = multiline_diff(file_1, file_2)
min_lens = min(len(file_1), len(file_2))
if mli_dif == (-1,-1) :
return "No differences" "\n"
else:
diff_line_indx = mli_dif[0]
diff_str_indx = int (mli_dif[1])
if len(file_1) >= 0:
line_file_1 = ""
else:
line_file_1 = file_1[diff_line_indx]
if len(file_2) >= 0:
line_file_2 = ""
else:
line_file_2 = file_2[diff_line_indx]
line_file_1 = file_1[diff_line_indx]
line_file_2 = file_2 [diff_line_indx]
out_print = singleline_diff_format(line_file_1, line_file_2, diff_str_indx)
return ( "Line {}{}{}".format ((diff_line_indx), (":\n"), (out_print)))
If one of the files is empty, either file1 or file2 should be an empty list, so that trying to access an element of either would cause the error you describe.
Your code checks for these files to be empty when assigning to line_file_`` andline_file_2`, but then goes ahead and tries to access elements of both.
declare variable $fb := doc("factbook.xml")/mondial;
for $c in $fb//country
where ($c/encompassed/#continent = 'f0_119') and ($c/#population < 100000)
return concat('Country: ',$c/name, ', Population: ',$c/#population);
it returns:
Type Error: Type of value '
()
' does not match sequence type: xs:anyAtomicType?
At characters 11681-11698
At File "q2_3.xq", line 4, characters 13-67
At File "q2_3.xq", line 4, characters 13-67
At File "q2_3.xq", line 4, characters 13-67
however, if i do not do a concat return, just name or population it will work, and most strange thing is i have another program :
declare variable $fb := doc("factbook.xml")/mondial;
for $c in $fb//country
where $c/religions = 'Seventh-Day Adventist'
order by $c/name
return concat('Country: ',$c/name, ', Population: ',$c/#population);
The return syntax is exactly same, however, it works.
Why this happens?
Without seeing an example of your data it's impossible to say for sure, but if $c/name returns more than one value, then your error would make sense. Do you have any results where there are more than one name element?
I have collected tweets and wish to add a column named taliban that maps (true/false) for the word (Taliban/taliban) present in the tweet. Please see the code and its error.
tweets = pd.DataFrame()
from pandas.io.json import json_normalize
tweets = json_normalize(tweet_data)[["text", "lang", "place.country","created_at", \
"coordinates", "user.location"]]
The code to define word is as follows:
#definition for collecting keyword.
def word_in_text(word, text):
word = word.lower()
text = text.lower()
match = re.search(word, text)
if match:
return True
return False
Then I run this query:
tweets['Taliban'] = tweets['text'].apply(lambda tweet: word_in_text('Taliban', tweet))
I get the following error:
AttributeError Traceback (most recent call last)
<ipython-input-16-17bcf7fbf866> in <module>()
----> 1 tweets['Taliban'] = tweets['text'].apply(lambda tweet: word_in_text('Taliban', tweet))
/usr/lib64/python2.7/site-packages/pandas/core/series.pyc in apply(self, func, convert_dtype, args, **kwds)
2167 values = lib.map_infer(values, lib.Timestamp)
2168
-> 2169 mapped = lib.map_infer(values, f, convert=convert_dtype)
2170 if len(mapped) and isinstance(mapped[0], Series):
2171 from pandas.core.frame import DataFrame
pandas/src/inference.pyx in pandas.lib.map_infer (pandas/lib.c:62578)()
<ipython-input-16-17bcf7fbf866> in <lambda>(tweet)
----> 1 tweets['Taliban'] = tweets['text'].apply(lambda tweet: word_in_text('Taliban', tweet))
<ipython-input-15-56228996ad5c> in word_in_text(word, text)
2 def word_in_text(word, text):
3 word = word.lower()
----> 4 text = text.lower()
5 match = re.search(word, text)
6 if match:
AttributeError: 'float' object has no attribute 'lower'
In [ ]:
I have tried this modification:
#definition for collecting keyword.
def word_in_text(word, text):
word = word.lower()
if type(text) is str:
return text.lower()
match = re.search(word, text)
if match:
return True
return False
to be used in:
tweets['taliban'] = tweets['text'].apply(lambda tweet: word_in_text('taliban', tweet))
But the error given is:
UnboundLocalError: local variable 'match' referenced before assignment
I'm trying to read a file and put contents in a list. I have done this mnay times before and it has worked but this time it throws back the error "list index out of range".
the code is:
with open("File.txt") as f:
scores = []
for line in f:
fields = line.split()
scores.append( (fields[0], fields[1]))
print(scores)
The text file is in the format;
Alpha:[0, 1]
Bravo:[0, 0]
Charlie:[60, 8, 901]
Foxtrot:[0]
I cant see why it is giving me this problem. Is it because I have more than one value for each item? Or is it the fact that I have a colon in my text file?
How can I get around this problem?
Thanks
If I understand you well this code will print you desired result:
import re
with open("File.txt") as f:
# Let's make dictionary for scores {name:scores}.
scores = {}
# Define regular expressin to parse team name and team scores from line.
patternScore = '\[([^\]]+)\]'
patternName = '(.*):'
for line in f:
# Find value for team name and its scores.
fields = re.search(patternScore, line).groups()[0].split(', ')
name = re.search(patternName, line).groups()[0]
# Update dictionary with new value.
scores[name] = fields
# Print output first goes first element of keyValue in dict then goes keyName
for key in scores:
print (scores[key][0] + ':' + key)
You will recieve following output:
60:Charlie
0:Alpha
0:Bravo
0:Foxtrot
I have a data file with the 2nd column in the file being dates in the format '01/01/2007'. I am trying to convert this column into number format so that I can insert the data in the textfile into a mysql database. I keep getting these errors when I try to do so:
Traceback (most recent call last):
File "C:/Python27/numpy", line 5, in <module>
x = np.loadtxt(fname='xyz.txt', dtype=[('date', 'str', 12),('x','float')], converters={1:datestr2num}, delimiter=None, skiprows=0, usecols=None);
File "C:\Python27\lib\site-packages\numpy\lib\npyio.py", line 713, in loadtxt
X.append(tuple([conv(val) for (conv, val) in zip(converters, vals)]))
File "C:/Python27/numpy", line 4, in datestr2num
return datetime.datetime.strptime(s,'"%m/%d/%y"')
File "C:\Python27\lib\_strptime.py", line 325, in _strptime
(data_string, format))
ValueError: time data '"01/01/2007"' does not match format '"%m/%d/%y"'
Can anyone please help me with this? Here is the code I am trying:
import numpy as np
import datetime
def datestr2num(s):
return datetime.datetime.strptime(s,'"%m/%d/%y"')
x = np.loadtxt(fname='xyz.txt', dtype= 'float', converters={1:datestr2num}, delimiter=None, skiprows=0, usecols=None);
print x;
'%y' is for two-digit years (e.g. '14'); you have four-digit years (e.g. '2014') so should be using '%Y' - see the documentation.