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python - What does the . corr () method do in Pandas and how does it . . . 1 df corr() calculates the correlation matrix whose elements range is [-1, 1], by default it uses Pearson Correlation coefficient sns heatmap is just a way to display using colors how strong the correlations are, where the color green in this case suggest a positive correlation close to 1
python - Correlation heatmap - Stack Overflow I want to represent correlation matrix using a heatmap There is something called correlogram in R, but I don't think there's such a thing in Python How can I do this? The values go from -1 to 1,
List Highest Correlation Pairs from a Large . . . - Stack Overflow Few lines solution without redundant pairs of variables: corr_matrix = df corr() abs() #the matrix is symmetric so we need to extract upper triangle matrix without diagonal (k = 1) sol = (corr_matrix where(np triu(np ones(corr_matrix shape), k=1) astype(bool)) stack() sort_values(ascending=False)) #first element of sol series is the pair with the biggest correlation Then you can iterate