Develop Reference

How can I take the string of names and preferences & add them to the dictionary with names as the key?

My code as it is right now looks like this:
def read_in_movie_preference():
"""Read the move data, and return a
preference dictionary."""
preference = {}
movies = []
# write code here:
file_location="./data/"
f = open(file_location+"preference.csv","r")
df = f.readlines()
#names as keys and prefrences
for line in df:
name = line[1].strip("\n").split(",")
prefs = line[2:].strip("\n").split(",")
preference[line[1]] = line[2:]
#print(test)
#movie names`
movietitles = df[0].strip("\n").split(",")
for movie in movietitles:
movie=movie.rstrip()
#can't seem to get rid of the spaces at the end
movies+=movietitles[2:]
print(movies)
return [movies, preference]
I cant seem to get the movie titles into the list without spaces at the end of some of them & I also cant add the names and preferences into the dictionary... I am supposed to do this task with basic python and no pandas .. very stuck would appreciate any help!
the dictionary would have names as keys and the preference numbers in number format instead of strings so it would theoretically look like this:
key: pref:
dennis, 0 1 0 1 0 ect
[![enter image description here][1]][1]this is what the data set looks like
here is the data pasted:

So the issue here is that you are using rstrip on a copy of the data but never apply it to the original.
The issue
for movie in movietitles:
movie=movie.rstrip() # Changes the (copy) of the data rather than the original
# We still need to apply this back to movietitles
There are a couple ways to fix this!
# Using indexing
for _ in range(len(movietitles)):
movietitles[_] = movietitles[_].rstrip()
Or we can do this inline with list comprehension
# Using list comprehension
movietitles = [movie.rstrip() for movie in movietitles]
As stated in the other answer, when working with csv data it's recomended to use a csv parser, but completely unnecessary for this scale! Hope this helps

I have a list of lists how do i classify based on language?

I have three lists:
id = [1,3,4]
text = ["hello","hola","salut"]
date = ["20-12-2020","21-04-2018","15-04-2016"]
#I then combined it all in one list:
new_list = zip(id, text, date)
#which looks like [(1,"hello","20-12-2020"),(3,"hola","21-04-2018"),(4,"salut","15-04-2016")
I want to delete the whole list if it is not in english, do to this i installed lang id and am using lang id.classify
I ran a loop on only the text and its working but am unsure how to delete the whole value such as: (3,"hola","21-04-2018") as hola is not in english.
I am trying to achieve a new list which only has those lists in it that is only english. I want to further write the output list in a xml file.
To do that I have made a sample xml file and am using the date as a parent key as the date can be same for multiple texts.

Try this simple for loop
new_list = [(1,"hello","20-12-2020"),(3,"hola","21-04-2018"),(4,"salut","15-04-2016")]
for x in new_list:
# condition to check if word or sentence is english
if not isEnglishWord(x[1]):
new_list.pop(x)

Not sure how lang id.classify works or what parameters it takes in but something like this should work:
for i in range(len(new_list)):
if id.classify(new_list[i][1]) != 'english':
new_list.pop[i]
In this case, I'm assuming id.classify takes in a str and outputs which language the word belongs (as a str).
I'm also using the range list method to iterate so we don't end up changing the list as we are iterating over it.

Problem parsing data from a firewall log and finding "worm"

I am struggling with trying to see what is wrong with my code. I am new to python.
import os
uniqueWorms = set()
logLineList = []
with open("redhat.txt", 'r') as logFile:
for eachLine in logFile:
logLineList.append(eachLine.split())
for eachColumn in logLineList:
if 'worm' in eachColumn.lower():
uniqueWorms.append()
print (uniqueWorms)

eachLine.split() returns a list of words. When you append this to logLineList, it becomes a 2-dimensional list of lists.
Then when you iterate over it, eachColumn is a list, not a single column.
If you want logLineList to be a list of words, use
logLineList += eachLine.split()
instead of
logLineList.append(eachLine.split())
Finally, uniqueWorms.append() should be uniqueWOrms.append(eachColumn). And print(uniqueWorms) should be outside the loop, so you just see the final result, not every time a worm is added.

Parsing and arranging text in python

I'm having some trouble figuring out the best implementation
I have data in file in this format:
|serial #|machine_name|machine_owner|
If a machine_owner has multiple machines, I'd like the machines displayed in a comma separated list in the field. so that.
|1234|Fred Flinstone|mach1|
|5678|Barney Rubble|mach2|
|1313|Barney Rubble|mach3|
|3838|Barney Rubble|mach4|
|1212|Betty Rubble|mach5|
Looks like this:
|Fred Flinstone|mach1|
|Barney Rubble|mach2,mach3,mach4|
|Betty Rubble|mach5|
Any hints on how to approach this would be appreciated.

You can use dict as temporary container to group by name and then print it in desired format:
import re
s = """|1234|Fred Flinstone|mach1|
|5678|Barney Rubble|mach2|
|1313|Barney Rubble||mach3|
|3838|Barney Rubble||mach4|
|1212|Betty Rubble|mach5|"""
results = {}
for line in s.splitlines():
_, name, mach = re.split(r"\|+", line.strip("|"))
if name in results:
results[name].append(mach)
else:
results[name] = [mach]
for name, mach in results.items():
print(f"|{name}|{','.join(mach)}|")

You need to store all the machines names in a list. And every time you want to append a machine name, you run a function to make sure that the name is not already in the list, so that it will not put it again in the list.
After storing them in an array called data. Iterate over the names. And use this function:
data[i] .append( [ ] )
To add a list after each machine name stored in the i'th place.
Once your done, iterate over the names and find them in in the file, then append the owner.
All of this can be done in 2 steps.

How can I take a text file and create a triple nested list from it with tkinter python

I'm making a program that allows the user to log loot they receive from monsters in an MMO. I have the drop tables for each monster stored in text files. I've tried a few different formats but I still can't pin down exactly how to take that information into python and store it into a list of lists of lists.
The text file is formatted like this
item 1*4,5,8*ns
item 2*3*s
item 3*90,34*ns
The item # is the name of the item, the numbers are different quantities that can be dropped, and the s/ns is whether the item is stackable or not stackable in game.
I want the entire drop table of the monster to be stored in a list called currentDropTable so that I can reference the names and quantities of the items to pull photos and log the quantities dropped and stuff.
The list for the above example should look like this
[["item 1", ["4","5","8"], "ns"], ["item 2", ["2","3"], "s"], ["item 3", ["90","34"], "ns"]]
That way, I can reference currentDropTable[0][0] to get the name of an item, or if I want to log a drop of 4 of item 1, I can use currentDropTable[0][1][0].
I hope this makes sense, I've tried the following and it almost works, but I don't know what to add or change to get the result I want.
def convert_drop_table(list):
global currentDropTable
currentDropTable = []
for i in list:
item = i.split('*')
currentDropTable.append(item)
dropTableFile = open("droptable.txt", "r").read().split('\n')
convert_drop_table(dropTableFile)
print(currentDropTable)
This prints everything properly except the quantities are still an entity without being a list, so it would look like
[['item 1', '4,5,8', 'ns'], ['item 2', '2,3', 's']...etc]
I've tried nesting another for j in i, split(',') but then that breaks up everything, not just the list of quantities.
I hope I was clear, if I need to clarify anything let me know. This is the first time I've posted on here, usually I can just find another solution from the past but I haven't been able to find anyone who is trying to do or doing what I want to do.
Thank you.

You want to split only the second entity by ',' so you don't need another loop. Since you know that item = i.split('*') returns a list of 3 items, you can simply change your innermost for-loop as follows,
for i in list:
item = i.split('*')
item[1] = item[1].split(',')
currentDropTable.append(item)
Here you replace the second element of item with a list of the quantities.

You only need to split second element from that list.
def convert_drop_table(list):
global currentDropTable
currentDropTable = []
for i in list:
item = i.split('*')
item[1] = item[1].split(',')
currentDropTable.append(item)

The first thing I feel bound to say is that it's usually a good idea to avoid using global variables in any language. Errors involving them can be hard to track down. In fact you could simply omit that function convert_drop_table from your code and do what you need in-line. Then readers aren't obliged to look elsewhere to find out what it does.
And here's yet another way to parse those lines! :) Look for the asterisks then use their positions to select what you want.
currentDropTable = []
with open('droptable.txt') as droptable:
for line in droptable:
line = line.strip()
p = line.find('*')
q = line.rfind('*')
currentDropTable.append([line[0:p], line[1+p:q], line[1+q:]])
print (currentDropTable)