I am trying to write a commonality script which will return rows in a pandas dataframe that have two matching columns, and also will sum up the number of rows with matches into a new column OPERATION and MACHINE are the columns to match Input: BATCH OPERATION MACHINE DATE 1A 4000 Printer1 01-Jan-22 1A 2000 Fax1 02-Jan-22 1B 4000 Printer2
Tag: filter
Filter Json Keys that contains certain character in Python
I need to filter all Keys in this dict (book-1, book-2 and book-3) that conatains the string ‘book’and save them in a new dict. In this example no need to seave ‘bicycle’. Answer This can be accomplished with a dict comprehension, which can be updated based on your needed filter:
Python How do i filter out multiple strings from a big string then put it in a .txt file
So i have this piece of code here: I get everything i want from here but so i can f.write i need to put it into a string lstr = ‘ ‘.join(map(str, Outlook_data)) So now im just left with this: My problem is that i need to filter out multiple ‘name’: ‘xxx’, ‘shortVolume’: xxx, ‘longVolume’: xxx then i need to
Filter dataframe based on 2 columns
I have a big dataframe city Flow Berlin False Berlin True Vienna False Vienna True Vienna False Frankfurt True Frankfurt False I want to remove only the rows where city and flow is Vienna and false using python Resulting dataframe should be city Flow Berlin False Berlin True Vienna True Frankfurt True Frankfurt False Answer Try:
How do I filter HTML elements in Python
Ive got a list of strings by scraping a website. I want the code to print the HTML elements from that list IF they contain “L” in them. Ive managed to write a code that works just fine on “normal list” that I manually just write into the code (example 1 below) but as soon as I try using that
Filter based on pairs within a group – if value represent at BOTH ends
Within each group there are pairs. In Group 1 for example; the pairs are (2,2),(2,4),(4,1) I want to filter these pairs based on code numbers 2 AND 4 being present at BOTH ends(not either) In group 1 for example, only (2,4) will be kept while (2,2) and (4,1) will be filtered out. Excepted Output: Answer You can approach by making
How drop duplicate rows based on a time delta whilst keep the latest occurrence of that record?
I have a table in the form: ID DATE_ENCOUNTER LOAD 151336 2017-08-22 40 151336 2017-08-23 40 151336 2017-08-24 40 151336 2017-08-25 40 151336 2017-09-05 50 151336 2017-09-06 50 151336 2017-10-16 51 151336 2017-10-17 51 151336 2017-10-18 51 151336 2017-10-30 50 151336 2017-10-31 50 151336 2017-11-01 50 151336 2017-12-13 62 151336 2018-01-03 65 151336 2018-02-09 60 Although the dates are not
Find max of two columns and populate with value in third column based on a condition
I have a pandas dataframe with 4 columns – A, B, C,D and E. I want create groups by column A and then find the max of column B and C and then populate E with the corresponding value present in D as shown in example below. The condition here is that Column E is to be populated with 0,
How to filter by a list in Django REST Framework?
Suppose I have a model called X, X contains a field called Ys, a many-to-many field for a class Y. If I have a list of multiple instances of the model Y, how to filter for Xs that have the field Ys that is a superset of my list? Example: I have 3 X objects here: x1.Ys = [y1, y3,
Removing the 2d point that are close to each others
I would like to remove the coordinates that lie close to each other or if it is just a duplicate. For example, In the above list, the first and second element lies close to each other. How do I remove the second element while preserving the first one? Following is what I have tried, The problem is that it doesn’t