Original question I am correlating row P of size n to every column of matrix O of size n×m. I crafted the following code: import numpy as np def ColumnWiseCorrcoef(O, P): n = P.size DO...

I wanted to annot only values greater than 0.4 on my seaborn heatmap. Here is my code: sns.set(font_scale=0.6) sns.set(font_scale=0.6) ax= sns.heatmap(corr, mask=mask, cmap=cmap, vmin=-1, vmax=+1, ...

Let me preface this by saying, in order to reproduce the problem I need a large data, and that is part of the problem, that I can't predict when the peculiarity is going to pop up. Anyway, the data...

I have a dataframe with total sales of around 500 product categories in each row. So there are 500 columns in my dataframe. I am trying to find the highest correlated category with my another dataf...

I would like to apply fine-tuning Bert to calculate semantic similarity between sentences. I search a lot websites, but I almost not found downstream about this. I just found STS benchmark. I won...

I have two CSV_files with hundreds of columns and I want to calculate Pearson correlation coefficient and p value for every same columns of two CSV_files. The problem is that when there is a missin...

Is there any way to compute weighted correlation coefficient with pandas? I saw that R has such a method. Also, I'd like to get the p value of the correlation. This I did not find also in R. Link t...

Suppose I have a data frame consisting of 20 columns (variables) and all of them are numeric. I can always use the cor function in R to get the correlation coefficients in matrix form or actually v...

I have a CSV file containing feature values for items: each row is a triple (id_item, id_feature, value) representing the value of a specific feature for a specific item. The data is very sparse. ...

Consider the following examples of the Pearson correlation coefficient on sets of film ratings by users A and B: A = [2,4,4,4,4] B = [5,4,4,4,4] pearson(A,B) = -1 A = [5,5,5,5,5] B = [5,5,5,5,5] ...