I would like to perform a rolling mean while the mean excludes duplicates found in another column. Let me provide an example dataframe: Date Warehose Value 10-01-1998 London 10 13-01-1998 London 13 15-01-1998 New York 37 12-02-1998 London 21 20-02-1998 New York 39 21-02-1998 New York 17 In this example, let’s say I like to… Read More Pandas: Rolling mean using only the last update based on another column
I want to calculate complex eigenvectors (Psi functions for shrodinger equation) for 20k*20k matrices, but always gets smth like this: [ 2.99009782e-09 -1.12381299e-08 -2.82346868e-08 …, 6.20967928e-34 -4.80675528e-34 -3.84848719e-35] [ 4.07337553e-08 -1.45976681e-07 -3.47961439e-07 …, 7.43558322e-34 -5.74815572e-34 -4.61317607e-35] [ 5.51921102e-07 -1.88491289e-06 -4.26000711e-06 …, 9.29535407e-34 -7.15304083e-34 -5.78846547e-35] As I understand it just replaces part of data with dots,… Read More eigenvectors created by numpy.linalg.eig have dots instead of data
I’m trying to understand the basic pytorch autograd system: x = torch.tensor(10., requires_grad=True) print(‘tensor:’,x) x.backward() print(‘gradient:’,x.grad) output: tensor: tensor(10., requires_grad=True) gradient: tensor(1.) since x is a scalar constant and no function is applied to it, I expected 0. as the gradient output. Why is the gradient 1. instead? >Solution : Whenever you are using value.backward(),… Read More Understanding gradient computation using backward() in PyTorch
I try to calculate for each element in a Dataframe df1 the cumulative product over x days (for example 3). Is there an efficient way to do that? So far, I only know to generate a normal cumulative product over the rows, without fixing the lookback period to x days (=df2). For example: 2022-01-02 ID1:… Read More Cumulative product for each element over x days in pandas DataFrame
I’m trying to create "String Array Count" function. How does it it work? The loop is going to stop if the char is empty, then the length is going to show. The error is, empty char conditional didn’t detect empty char. The result is infinite while loop. Edit : I want the result of my… Read More Why can't my conditional detect an empty char?
With the arrival of Arrow 1.1.x we got the new Effect class. Up to now, my business classes returned Either to model the effect of returning an error or a value, e.g.: @Service class CreateDepartmentUseCaseImpl( private val createDepartmentsDrivenPort: CreateDepartmentsDrivenPort, private val getDepartmentByCodeDrivenPort: GetDepartmentByCodeDrivenPort ) : CreateDepartmentUseCase { override suspend fun execute(param: Department): Either<DomainError, Department> =… Read More Which should we choose between Effect and Either as a return type of our business services?
I have a response from mydatepicker in the following format { "isRange":false, "singleDate":{ "date":{ "year":2022, "month":5, "day":13 }, "jsDate":"2022-05-13T03:00:00.000Z", "formatted":"13-05-2022", "epoc":1652410800 }, "dateRange":null } I have a filter that uses the new date(), but it seems that it doesn’t accept it accepting the date in the value dd-mm-yyyy and I would need to display it… Read More does the filter with new date() accept format other than yyyy-mm-dd?
I want to disable a computation of several filters during Predict call with Tensorflow 2 and Keras. Do i have to modify the source code of Tensorflow to achieve that ? >Solution : Short answer: No, you don’t have to modify the Tensorflow source code. Long answer with example detailled here.
I am trying the write the formula in the image using Java. However, I get the wrong output. This is what I am so far for the computation. Assume Input is: Loan Amount = 50000 and Length = 3 year.My output is currently "676.08" for ‘Monthly Payment’ and "25661.0" for "Total Interest Payment" ‘Monthly payment’… Read More Java, computing the following formula