I am trying to count how many times a value, “i”, is in the range i<0.5. I am counting from a csv file. To be clear, I only want the number of times to be appended to a dictionary. I will post my code and the result I get. the result I want is like this:(86 is a place holder,
Tag: count
Pandas pivot table count
I would like to ask a question concerning pivot tables in Pandas. I have been trying to make a pivot table for this kind of table: sector score US null US null US 1 EU null EU 2 EU 2 EU 4 UK null UK null UK null UK 4 UK 4 Eventually, I would like this table to be
count the files in directory and loop one by one
I have some different format files in a one directory, but i want to read only .txt file and print the based on the count , Example: (one.txt,two.txt,three.txt,four.txt,one.xlsx,two.xlsx) here i want to count the .txt files and read all .txt file one by one , here the count is 4 read file one.txt print(“hello”) read file two.txt print(“hello”) read file
Can repeating query be saved?
In my Python / Sqlite program, I am running queries like this So the “basic” query is the same, and the rows Sqlite gathers are the same, but because of the different grouping , I have to run the same query multiple times. I wonder if there is a way to achieve the same output more effectively, ie. run the
How do i make a counter that works for me on django Models
i have a question. i am trying to make some counter for my models. i have model- personeel and kwalification. i want to make a couter that counts how mutch personeel got the same kwalification like if 2 personeel got ehbo then it counts 2. Answer Kwalificaties.objects.filter(ehbo=”wel”).count() maybe?
Trying to understand a code of counting numbers digits in python
Can someone explain to me the code below. I need to understand what line 2 and line 5 mean when we count digits of a number (ex. 100). def Counting(Number): Count = 0 while(Number > 0): …
How to groupby 2 columns but order descending by count()
i have a dataframe and want to group 2 columns, which is working fine. df.groupby([“Sektor, CustomerID”]).count().head(10) _Order_ID_ Order_timezone Order_weight …
Enumerate rows in each group starting from one
I have a dataframe (which is sorted on date, date column is not included in the example for simplicity) that looks like this: df = pd.DataFrame([‘A’, ‘B’ , ‘B’, ‘A’, ‘C’, ‘B’], columns=[‘letters’]) …
How to count the same (identical) titles in a row
Good day everyone. I’m trying to count title of soccer team in list of dictionaries. prev_match_stats = ({‘league_title’: league_title, ‘match_date’: match_date, …
Creating a new columns with maximum count of value in multiple columns
I have a dataframe that contains multiple columns as follow: I want to create a new column based on the player, competition and value of highest occurrence in Home column and Away column. Let’s say the name of a new column that I want to create is Team. I would like have a new column as follow: So it supposes