.dropna() doesn't remove all NaN from pandas Dataframe - python

I have a code in which i filter out some stopwords and special characters. The dropna() filters out most of the existing NaN but the cleaner = clean.str.replace('#|\|_|!|.|\^|:|(|)|-|\?|!|\,','') line creates some new NaN in the csv file (some lines are just special chars), these aren't filtered out. How can i filter these out as well?
import pandas as pd
from stop_words import get_stop_words
df = pd.read_csv("F:/textclustering/data/cleandata.csv", encoding="iso-8859-1")
usertext = df[df.Role.str.contains("End-user",na=False)][['Data','chatid']]
lowertext = usertext['Data'].map(lambda x: x if type(x)!=str else x.lower())
nl_stop_words = get_stop_words('dutch')
stop_words_pat = '|'.join(['\\b' + stop + '\\b' for stop in nl_stop_words])
clean = lowertext.str.replace(stop_words_pat, '')
cleaner = clean.str.replace('\#|\|\_|\!|\.|\^|\:|\(|\)|\-|\?|\!|\,','')
render = pd.concat([cleaner, usertext['chatid']], axis=1)
#print(render)
#print(type(render))
final= render.dropna(how='any')
final.to_csv("F:/textclustering/data/filteredtext.csv", sep=',',index=False, encoding="iso-8859-1")
df2 = pd.read_csv("F:/textclustering/data/filteredtext.csv", encoding="iso-8859-1")
print(df2)
UPDATE: Raw Data
"Agent","Chat.Event","Role","Data","chatid"
Chat ID: ^^^^^^,,,"",1
x,Agent Accepted,Lead,"Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur",1
x,Engagement Participant Entered,Lead,,1
No Value,End-user Post,End-user,"At vero eos et accusamus et iusto odio dignissimos ducimus",1
x,Agent Post,Lead,"Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.",1
No Value,End-user Post,End-user,"Et harum quidem rerum!",1
x,Agent Post,Lead,"omnis voluptas assumenda est",1
No Value,End-user Post,End-user,"assumenda est",1
x,Agent Post,Lead,"Nam libero tempore?",1
x,Agent Post,Lead,"Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.",1
x,Agent Post,Lead,"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed?",1
No Value,End-user Post,End-user,"^^########",1
(i have replaced the dutch text for lorum impsum for privacy reasons)
The last Line stays NaN

Related

Python user paragraph input

How can I copy and paste this as user input in Python?
"Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet,
consectetur, adipisci velit, sed quia non numquam eius modi tempora
incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut
enim ad minima veniam, quis nostrum exercitationem ullam corporis
suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur?
Quis autem vel eum iure reprehenderit qui in ea voluptate velit
esse quam nihil molestiae consequatur, vel illum qui dolorem eum
fugiat quo voluptas nulla pariatur?"
Edit:
input() doesn't work, I am getting this in console:
https://pastebin.com/raw/Pc55u0KX
After inserting multiline text, click enter with empty input and it will insert and split all lines into list.
def multiline_input(sentinel=''):
for inp in iter(input, sentinel):
yield inp.split()
lis = list(multiline_input())
print(lis)
Source: Python: Multiline input converted into a list

Python two text side by side with precise width

I've got an exercise where I have two text, "left" and "right".
I need to make a function to make them side by side given a width as parameter and all of this using itertools and textwrap.
Here's my code :
import textwrap
import itertools
def sidebyside(left,right,width=79):
width = round((width+1)/2)
leftwrapped = textwrap.wrap(left,width = width-1)
for i in range(0,len(leftwrapped)):
leftwrapped[i] = leftwrapped[i].ljust(width)
rightwrapped = textwrap.wrap(right,width = width-1)
for i in range(0,len(rightwrapped)):
rightwrapped[i] = rightwrapped[i].ljust(width)
pipes = ["|"]*max(len(leftwrapped),len(rightwrapped))
paragraph = itertools.zip_longest(leftwrapped,pipes,rightwrapped, fillvalue="".ljust(width))
result = ""
for a in paragraph:
result = result + a[0] + a[1] + a[2] + "\n"
return(result)
Here's a sample of "left" & "right" :
left = (
"Lorem ipsum dolor sit amet, consectetur adipiscing elit. "
"Sed non risus. "
"Suspendisse lectus tortor, dignissim sit amet, "
"adipiscing nec, utilisez sed sin dolor."
)
right = (
"Morbi venenatis, felis nec pretium euismod, "
"est mauris finibus risus, consectetur laoreet "
"sem enim sed arcu. Maecenas sit amet eleifend sem. "
"Nullam ac libero metus. Praesent ac finibus nulla, vitae molestie dolor."
" Aliquam vestibulum viverra nisl, id porta mi viverra hendrerit."
" Ut et porta augue, et convallis ante."
)
My problem is that I'm getting some spacing issues, i.e: for the first line, for a given length of 20, I have this output :
'Lorem |Morbi ven '
But I need this output :
'Lorem |Morbi ven'
Found it, my round function was not good, I had to make two width, the first one being the round of the division and a second one being the result of width - round(width/2).
Talk is cheap, code is better :
from itertools import zip_longest
import textwrap
def sidebyside(left, right, width=79):
mid_width = (width - (1 - width%2)) // 2
return "\n".join(
f"{l.ljust(mid_width)}|{r.ljust(mid_width)}"
for l, r in zip_longest(
*map(lambda t: textwrap.wrap("".join(t), mid_width), (left, right)),
fillvalue=""
)
)
The goal of the original post was to solve a programming puzzle that required the sidebyside() method be implemented using only itertools.zip_longest() and textwrap.wrap().
This method works but has some disadvantages. For instance, it does not support line breaks, within the left and right texts (all spacing is removed before the texts are reflowed to be side-by-side).
Since this is a really useful method, I wrote an improved version of it, see the Gist itself for more information.
For example:
# some random text
LOREM = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum."
# split into paragraphs
LOREM_PARA = LOREM.replace(". ", ".\n\n").split("\n")
# arbitrarily truncate the first two lines for text B
TEXT_A = LOREM_PARA[:]
TEXT_B = LOREM_PARA[2:]
# reflow as side-by-side
print(side_by_side(TEXT_A, TEXT_B, width=50, as_string=True))
will output:
Lorem ipsum dolor sit | Ut enim ad minim
amet, consectetur | veniam, quis nostrud
adipiscing elit, sed do | exercitation ullamco
eiusmod tempor | laboris nisi ut aliquip
incididunt ut labore et | ex ea commodo
dolore magna aliqua. | consequat.
|
Ut enim ad minim | Duis aute irure dolor
veniam, quis nostrud | in reprehenderit in
exercitation ullamco | voluptate velit esse
laboris nisi ut aliquip | cillum dolore eu fugiat
ex ea commodo | nulla pariatur.
consequat. |
| Excepteur sint occaecat
Duis aute irure dolor | cupidatat non proident,
in reprehenderit in | sunt in culpa qui
voluptate velit esse | officia deserunt mollit
cillum dolore eu fugiat | anim id est laborum.
nulla pariatur. |
|
Excepteur sint occaecat |
cupidatat non proident, |
sunt in culpa qui |
officia deserunt mollit |
anim id est laborum. |

Counting how many different words have exactly the letter 'o' twice

I'm new at ApacheSpark. Currently, I'm performing some statistical analysis for a text. I start reading the text and storing it in a variable as follows:
loremRDD = sc.textFile(fileName, 8).map(removePunctuation).filter(lambda x: len(x)>0)
#First 10 lines
loremRDD.take(10)
The result is a PythonRDD[66] at RDD at PythonRDD.scala:53 variable. Below there are the first 10 lines of the text:
['aut minima deleniti et autem minus illo esse dolores eligendi corrupti dolore minima nostrum eos nobis nam nihil aspernatur nam ut quae sint laborum ut dolores error possimus aperiam consequatur',
'pariatur sed quo non itaque qui pariatur saepe ad quis consequatur nihil iste molestias et eos ut expedita vel reiciendis dolorem enim doloribus quam architecto aperiam',
'sed repudiandae pariatur similique est aut sequi animi in aperiam enim ipsa enim dolorem inventore aut quo odio in consequatur et',
'aspernatur ad esse et aliquid itaque dolores rerum quia commodi explicabo non magnam nostrum consectetur non sint eum nulla et aut quis doloribus itaque nulla molestiae quis est est quo facilis incidunt a ipsa in itaque sed aut nobis facere dignissimos atque unde cum ea vero',
'tenetur vel quod voluptatum laudantium dolores neque aut est modi qui aperiam itaque aperiam quae ratione doloremque aut delectus quas qui',
'qui placeat vel ipsam praesentium sint recusandae dicta minus praesentium omnis sequi a sed veritatis porro ab et officia esse commodi pariatur sequi cumque',
'mollitia facilis amet deleniti quia laborum commodi et molestias maxime quia dignissimos inventore neque libero deleniti ad quo corrupti numquam quis accusantium',
'architecto harum sunt et enim nisi commodi et id reprehenderit illum molestias illo facilis fuga eum illum quasi fugit qui',
'modi voluptatem quia et saepe inventore sed quo ea debitis explicabo vel perferendis commodi exercitationem sequi eum dolor cupiditate ab molestiae nemo ullam neque hic ipsa cupiditate dolor molestiae neque nam nobis nihil mollitia unde',
'voluptates quod in ipsum dicta fuga voluptatibus sint consequatur quod optio molestias nostrum repellendus consequatur aliquam fugiat provident omnis minus est quisquam exercitationem eum voluptas fugit quae eveniet perspiciatis assumenda maxime']
I need to know how many different words have twice the letter 'o'. For example, the word dolorem has twice the letter 'o'.
At the moment, I´ve created distintWordsRDD which stores all differents words contained in the text as follows:
loremWordsRDD = loremRDD.flatMap(lambda x: x.split(' '))
distintWordsMapRDD = loremWordsRDD.map(lambda word: (word,1)).reduceByKey(lambda a,b:a+b)
distintWordsRDD=distintWordsMapRDD.keys().distinct()
# Showing 8 first words
print(distintWordsRDD.take(8))
The result of the 8 first words is:
['tempora', 'sapiente', 'vitae', 'nisi', 'quidem', 'consectetur', 'perferendis', 'debitis']
My problem is that I don´t know how to retrieve from distintWordsRDD a list with the words that have two 'o'.
The following should work:
your_text=''.join(your_original_list_of_texts)
result=[i for i in your_text.split() if i.count('o')==2]
print(result)
['dolores', 'dolore', 'dolores', 'dolorem', 'doloribus', 'dolorem', 'odio']
However the text that you provided is split to many subtexts ('sometext1', 'sometext2', 'sometext3, etc) and it needs some additional work so that it will come to a simple text format ('alltext')
If you provide exact details of your input text, i will adjust the code so that it will work properly with the input without additional manual work
If you only have one string sentence:
results = set(word for word in sentence.split() if word.count('o') == 2)
If you have a list sentences of strings (which is what you show in your question):
results = set(
word
for sentence in sentences
for word in sentence.split()
if word.count('o') == 2
)
I'm using set to unify the results.
Output for the list of sentences in your example:
{'odio', 'dolorem', 'dolore', 'doloremque', 'dolor', 'doloribus', 'optio', 'commodi', 'porro', 'dolores'}
If you need a list then just convert the set in a list: results = list(results)).
I managed to solve this problem doing the following:
results = distintWordsRDD.filter(lambda word: word.count('o')==2)
print (results.collect())
print(results.count())
Result:
['porro', 'odio', 'laboriosam', 'doloremque', 'doloribus', 'dolores', 'dolor', 'corporis', 'commodi', 'optio', 'dolorum', 'dolore', 'dolorem']
13

Extract Keys and Values from text using regular expressions

I have a big number of strings that I need to parse. These strings contain information that is put in key-value pairs.
Sample input text:
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim: ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim: ad minima veniam, *31.12.2012, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla pariatur
Key information:
A key starts either from the beginning of the string or after \.
A key ends always with :
The key is immediately followed by a value
This value continues until the next key or until the last symbol in the string
There are a multiple of key-value pairs, which I don't know
Expected Output
{
"Nemo enim": "ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem",
"Ut enim": "ad minima veniam, *31.12.2012, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur. Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla pariatur"
}
The regex that I have so far is ([üöä\w\s]*)\: (.*?)\.. Suffice it to say it doesn't provide the expected output.
This regex ([^:.]+):\s*([^:]+)(?=\.\s+|$) does the job.
Demo & explanation
You can match the following regular expression, which saves the keys and values to capture groups 1 and 2.
r'(?<![^.]) *([^.]+?:) *((?:(?!\. ).)+)'
Start your engine! | Python code
Python's regex engine performs the following operations.
(?<![^.]) : negative lookbehind asserts current location is not
preceded by a character other than '.'
\ * : match 0+ spaces
( : begin capture group 1
[^.]+? : match 1+ characters other than '.', lazily
: : match ':'
) : end capture group 1
\ * : match 0+ spaces
( : begin capture group 2
(?: : begin non-capture group
(?!\. ) : negative lookahead asserts current position is not
followed by a period followed by a space
. : match any character other than a line terminator
)+ : end non-capture group and execute 1+ times
) : end capture group 2
This uses the tempered greedy token technique, which matches a series of individual characters that do not begin an unwanted string. For example, if the string were "concatenate", (?:(?:!cat).)+ would match the first three letters but not the second 'c', so the match would be 'con'.
Just for fun, here's a python, non-regex solution:
latin = """[the sample input text]"""
new_lat = latin.replace(":","xxx:").split('xxx')
for l in new_lat:
if ":" in l:
curr_ind = new_lat.index(l)
cur_brek = l.rfind('. ')
prev_brek = new_lat[curr_ind-1].rfind('. ')
stub = new_lat[curr_ind-1][prev_brek+2:]
new_l = stub+l[:cur_brek]
print(new_l)
Output is the two text blocks starting from the key.

Split diary file into multiple files using Python

I keep a diary file of tech notes. Each entry is timestamped like so:
# Monday 02012-05-07 at 01:45:20 PM
This is a sample note
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam,
quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo
consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse
cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non
proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
# Wednesday 02012-06-06 at 03:44:11 PM
Here is another one.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia
deserunt mollit anim id est laborum.
Would like to break these notes down into individual files based on timestamp headers. e.g. This is a sample note.txt, Here is another really long title.txt. Im sure I would have to truncate the filename at some point, but the idea would be to seed the filename based on the first line of the diary entry.
It doesn't look like I can modify the file's creation date via python, so I would like to preserve the entries timestamp as part of the note's body.
I've got a RegEx pattern to capture the timestamps that suits me well:
#(\s)(Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday)(\s)(.*)
and can likely use that regex to loop through the file and break each entry down, but im not quite sure how to loop through the diary file and break it out into individual files. There are a lot of examples of grabbing the actual regex pattern, or particular line, but I want to do a few more things here and am having some difficulty peicing it together.
Here is an example of the desired file contents (datestamp + all text up until next datestamp match):
bash$ cat This\ is\ a\ sample\ note.txt
Monday 02012-05-07 at 01:45:20 PM
This is a sample note
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam,
quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo
consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse
cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non
proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
bash$
Here's the general ;-) approach:
f = open("diaryfile", "r")
body = []
for line in f:
if your_regexp.match(line):
if body:
write_one(body)
body = []
body.append(line)
if body:
write_one(body)
f.close()
In short, you just keep appending all lines to a list (body). When you find a magical line, you call write_one() to dump what you have so far, and clear the list. The last chunk of the file is a special case, because you're not going to find your magical regexp again. So you again dump what you have after the loop.
You can make any transformations you like in your write_one() function. For example, sounds like you want to remove the leading "# " from the input timestamp lines. That's fine - just do, e.g.,
body[0] = body[0][2:]
in write_one. All the lines can be written out in one gulp via, e.g.,
with open(file_name_extracted_from_body_goes_here, "w") as f:
f.writelines(body)
You probably want to check that the file doesn't exist first! If it's anything like my diary, the first line of many entries will be "Rotten day." ;-)
It really doesn't require as much regex as you would think.
First just load the file so you have it based on new lines:
fl = 'file.txt'
with open(fl,'r') as f:
lines = f.readlines()
now just loop through it! Compare each line with the regex you provided, and if it matches, that means it's a new date!
Then you will grab the next non-empty line after that and set it as the name of the file.
Then keep going through and writing lines to that specific file name until you hit another match to your regex, where you know it is now meant to be a new file. Here is the logic loop:
for line in lines:
m = re.match(your regex)
if m:
new_file = True
else:
new_file = False
#now you will know when it's a new entry so you can easily do the rest
Let me know if you need any more of the logic broken down. Hopefully this was helpful
You set the "batch-file" tag in your question, so I wrote a Batch file .bat solution. Here it is:
#echo off
setlocal EnableDelayedExpansion
set daysOfWeek=/Monday/Tuesday/Wednesday/Thursday/Friday/Saturday/Sunday/
for /F "delims=" %%a in (input.txt) do (
if not defined timeStamp (
set timeStamp=%%a
) else if not defined fileName (
set fileName=%%a
(
echo !timeStamp!
echo/
echo !fileName!
echo/
) > "!fileName!.txt"
) else (
for /F "tokens=2" %%b in ("%%a") do if "!daysOfWeek:/%%b/=!" equ "%daysOfWeek%" (
echo %%a>> "!fileName!.txt"
) else (
set timeStamp=%%a
set "fileName="
)
)
)
For example:
C:\Users\Antonio\Documents\test
>dir /B
input.txt
test.bat
C:\Users\Antonio\Documents\test
>test
C:\Users\Antonio\Documents\test
>dir /B
Here is another one.txt
input.txt
test.bat
This is a sample note.txt
C:\Users\Antonio\Documents\test
>type "Here is another one.txt"
# Wednesday 02012-06-06 at 03:44:11 PM
Here is another one
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia
deserunt mollit anim id est laborum.
C:\Users\Antonio\Documents\test
>type "This is a sample note.txt"
# Monday 02012-05-07 at 01:45:20 PM
This is a sample note
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam,
quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo
consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse
cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non
proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

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