Additionally, if the original dictionary has only one value, it gets a score of 1. For example, a dict that looks like this: Would become the following: This is a start for a dictionary with 2 keys, not including the 1-value situation: That’s what I want for the values, now I just need to set the keys of a new
Tag: sorting
Sort DataFrame based on part of its index
What I would like to achieve I have a DataFrame whose indices are “ID (int) + underscore (_) + name (str)”. I would like to sort the data based on the ID. What I tested I tried to use sort_index and failed. https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sort_index.html To be honest, I’m stuck at the debug of lambda. Environment Python 3.10.5 Pandas 1.4.3 Answer Try
Sort List with duplicates based on related list
Shortened the scenario for brevity. I have three arrays where there is a relationship between the elements at i-th position between the three arrays.. for eg A1[0] is related to A2[0] and also A3[0] and so on … I want to sort the three arrays BASED ON THE A2 (in ascending order). so after sorting, the arrays become One thing
sorting a list of females and males
I have an input: and I must sort it in the way that first comes all f(females) ordered by alphabet then comes all m(males) ordered by alphabet. This is the desirable output: .here is my code: my code dose not sort f.(females) correctly and Sara comes first. Could anybody help me? Answer Try this, it should be fine Output :
Sorting lists within a list in Python
I have a list J consisting of lists. I am trying to sort elements of each list in ascending order. I present the current and expected outputs. The current output is The expected output is Answer Just remove the range Output:
Sorting by word count that store in dict python
how can you sort by word count? sorted() sort me only by the number of numbers? Thank you for your help input is print(make_dict(“test is test tests tests tests”)) output is {‘test’: 2, ‘is’: 1, ‘tests’: 3} im search output tests ,test ,is Answer You can change your code like approach_1 or use collections.Counter like approach_2. You can sorted on
pandas sort alphabetically for every row based on column content
I have a dataframe that looks like this: Col1 Col2 Bonnie Anna Connor Ethan Sophia Daniel And I want to sort its content alphabetically so that the final result is: Col1 Col2 Anna Bonnie Connor Ethan Daniel Sophia I want each pair to be ordered alphabetically. As they are in different columns, I don’t know how to sort them directly
How to group similar numbers with ranges/conditions and merge IDs using dataframes?
Please, I have a dataframe that is listed in ascending order. My goal is to average similar numbers (numbers that are within 10% of each other in ‘both directions’) and concate their ‘Bell’ name together. For example, the image shows the input and output dataframe. I tried coding it but I stuck on how to progress. Answer Assuming you really
Get the index of the largest two values per row
For each row, I would like to get the index of the largest two values. Here’s the result I would like to obtain: Answer Use np.argsort along the second axis and take last two values reversed.
Hacker rank List Prepare
This is my Code and it gives me this error message. Why? Error Message – Traceback (most recent call last): File “/tmp/submission/20220617/03/45/hackerrank-3495035b4042c8bc0c55e799a2d2e687/code/Solution.py”, line 15, in l.sort() TypeError: ‘<‘ not supported between instances of ‘str’ and ‘int’ Answer You appended string value at x[0] == “append”. It should work when you change to l.append(int(x[1])