I have 2 dataframes, the first is a small dataframe (df1) with information to use to fill a field (named Flag) of the second dataframe (df2). I need to write a function that uses each row of df1 as parameters to fill each row of df2 with a certain value (Y or N). df1 = type q25 q75 A 13
Tag: lambda
Using lambda to define a function based on another: How do I keep my code generic?
I have some python code that defines a new function based on an old one. It looks like this My new function is the same as the old function, but sets the last argument to 0. My question: Say I did not know the function took three arguments. Can I make the above solution more generic? An invalid solution with
SciPy Minimize doesn’t pass all guesses on?
I am trying to minimize a function of two variables using SciPy. The function itself is a chain of multiple lambda functions (makes it complicated but unfortunately it is the easiest way to write the expressions I need). However, when using SciPy’s minimize routine, I get the error “TypeError: () missing 1 required positional argument: ‘labour'” Strangely enough, if I
Get source function of lambda expression with captured variable
Having a lambda function that uses a regex: I would like to retrieve the source function including its pattern for error reporting. The expected output would be something like: func = lambda x: re.fullmatch(“black.*”, x) Knowing of the inspect module and the function getsource, I managed to solve part of my problem, but the pattern variable is not evaluated: which
Sum of the column values if the rows meet the conditions
I am trying to calculate the sum of sales for stores in the same neighborhood based on their geographic coordinates. I have sample data: ID SALE X Y X_MIN Y_MIN X_MAX Y_MAX 1 100 23 44 22 43 24 45 2 120 22 45 21 44 23 46 3 110 21 41 20 40 22 42 4 95 24 46
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
What is the difference between Swift Closures, Java Closures, and Python Lambda expressions?
What is the difference between Swift Closures and Python Lambda expressions? I often see websites describe Swift closures as something similar to Python lambda expressions. They serve similar purposes and even the Swift Documentation for closures states that “Closures in Swift are similar to blocks in C and Objective-C and to lambdas in other programming languages.” Python Lambda Expressions Swift
Apply function to all columns of data frame python
I have two dfs AVERAGE_CALL_DURATION AVERAGE_DURATION CHANGE_OF_DETAILS 267 298 0 0 421 609.33 0.33 330 334 0 0 240.5 666.5 0 628 713 0 0 and AVERAGE_CALL_DURATION AVERAGE_DURATION CHANGE_OF_DETAILS -5.93 -4.95 0.90 593.50 595.70 1.00 I want to return 1 if the xx column contains the range within NoC_c (where column names are the same I can do this for
DataFrame return slices of dataframe that a column value equal some value else 0 based on column of the dataframe
I have a dataframe like below testid Name A B 1 apple 1 1 2 apple 2 5 1 melon 10 4 2 melon 20 2 1 orange 5 3 2 orange 5 1 I want to return a slice of this dataframe ( still a dataframe ) for every testid and Column A and B that if the corresponding
using pop on multidimensional lists python with dynamoDB
I want to pop an item from a list of lists. So I have a scan for all dynamo Items and want to “pop” one field from each list. For example: The List: From this example, I have a bunch of Results and for every result list, I will remove the Item “credentials” like However, this isn’t working Answer You’re