it is actually really difficult to write a suitable title for this question, so please correct if you find something more percise. My problem is basically, that I have a txt file with a pattern which i want to sort. Consider the following string So all the lines are seperated and the pattern is the same. What i want to
Tag: sorting
How to groupby 2 columns but order descending by count()
i have a dataframe and want to group 2 columns, which is working fine. Now the grouped dataframe is sorted by the CustomerID values. But i want to sort it by the count(). So that i have the Sektor then the CustomerIDs but the CustomerIds that occure the most should be at the top. So descending. Expected Output should be:
Sort dictionary python by value (word2vec)
I want to sort my dict by value, but if I apply this code it doesn’t work (it print only my key-value pairs without any kind of sorting). If I change key=lambda x: x[1] to x[0] it correctly sort by key, so I don’t understand what I’m doing wrong. My code: Answer You’re trying to sort sets, and Python isn’t
txt file sorting(key:value in every line) – a problem with ‘n’
I am trying to sort txt file which looks like that : and so on(+1000 lines), to that structure: byr, iyr etc. order doesn’t matter, but every “set” of key:value has to be seperated by blank line. My main problem, if I can call it that way, is to create piece of code that sorts the file properly when there
dict(sorted(dictionary.items(), key=operator.itemgetter(1)) does not always return a ordered dict when the value is a list
I have a dict: when I try to sort it by using It not always sorts it like I want it to sort. (the value must have the biggest number and then descend) so it returns this: everything is right except for that x should be in front of i since 4 > 3. Are some indexes more prioritized? To
Trying to find unique subarrays and sub-elements?
I have an array will subarrays containing [page_name, url, and id] in dirty_pages. This array contain duplicate subarrays. I need to parse each subarray in dirty_pages into clean_pages such that: there are no duplicates (repeating subarray) the 1st index in the subarray i.e. the url must be unique! For example This url should be counted as one (url/#review is still
case-insensitive treeview sorting
I am using below code to sort the treeview column but it is case sensitive i.e. if the column value is [a,c,A] the sorted value will be [a,c,A]but i want it as [a,A,c] and even the number sorting is only based on first digit i.e. if [2,1,11] is the column value, the output will be [1,11,2] what i want it
Sort dataframe by multiple columns while ignoring case
I want to sort a dataframe by multiple columns like this: However i found out that python first sorts the uppercase values and then the lowercase. I tried this: but i get this error: If i could, i would turn all columns to lowercase but i want them as they are. Any hints? Answer If check docs – DataFrame.sort_values for
Why “None Type” is returned while Selection Sort implementation in Python? [closed]
Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers. Closed 2 years ago. Improve this question
Filter and sort inputed list of integers for non negative numbers python
I am trying to take a list that a user inputs, filter and sort in ascending order but only for the non-negative numbers. I thought I understood how to do this but it will not work with my logic. Here is the error I receive: ValueError: invalid literal for int() with base 10: ’10 -7 4 39 -6 12 2′