Hello so i have two columns that im using describe() and im getting their stats. I have something like this I want to print desk1 and desk2 below of each category.I am doing this: I get this : And i my desired output is this: I would like to not create a dataframe.Any solutions? Thanks in advance Answer What about
Tag: numpy
All pairwise means between elements of 2 lists
Is there a function to all pairwise means (or sums, etc) of 2 lists in python? I can write a nested loop to do this: result: but it feels like this is a very roundabout way to do this. I guess there is an option for a nested list comprehension as well, but that also seems ugly. Is there a
numpy slicing using multiple conditions where one of the conditions searches the neighborhood of an element
the problem is to take a black-white image, detect all the places where white borders on black, keep that white, and turn all other white pixels black. I know how to do this using normal for-loops and lists, but I want to do it w/ numpy, which I am not that familiar with. Here is what I have so far:
Combine and sort multiple array columns of values A and B where A is the common index
I have a n-long list of arrays. Each array consists of two columns: A) index values between 1-500 B) measured values Each A column is slightly different (i.e. missing or having extra values). I want to create single large array where i) there is single A (index) column consisting of all the index values and ii) all the B (measured
Numpy matrix multiplication with scalar results in negative zeros
I have a random nxn matrix A with floating points, then I call matrix nxn which has diagonal values (0 elsewhere) now I want to multiply every even row with -2 so I do however it returns Why do the zeroes have negative sign? Does this matter at all and if so is it possible to avoid having that? Thank
Serialize ‘csv’ file as binary and append to file
How is it possible to achieve the following at the same time in python 3: Serialize column names and numerical data as a binary file Reopen the file and append additional numerical data For example with the following data: My approach with numpy This approach allows to save data and append additional data. However the column names are missing and
how to generate per-pixel histogram from many images in numpy?
I have tens of thousands of images. I want to generate a histogram for each pixel. I have come up with the following code using NumPy to do this that works: I would like to know if anyone can help me vectorize the for loops? I can’t think of how to index into the perpix_hist array properly. I have tens/hundreds
Derive consumption from existing column (Pandas)
Data Desired Doing first create derived column Any suggestion is helpful Answer You aren’t using a correct aggregation function. You should be using sum on both your “used” and “total” columns:
if and else in Convolution function
I have a problem with use if and else statement in convolution function. this code return error: use any() or all() how to can i use condition in convolve? I hope you always good luck. thanks. Answer The name function is called with a numpy array as the parameter. “Is the array less than 300?” isn’t meaningful. Are all the
Is there a numpy function to compress a (k, m, n) matrix to a (k//2, m//2, n//2) matrix by summing neighbors?
This can be accomplished with But I’m wondering if there is a function to accomplish this quickly and cleanly. If not, is there a canonical name for this operation? Answer This sounds like a classical strided-convolution pooling operation. You can do this in many ways, but the most straightforward would probably be to use skimage’s block_reduce functionality, as so –