correlation analysis of dataframe python
import seaborn as sns #load the dataset df = sns.load_dataset('iris') #calculate correlation corr_matrix = df.corr('pearson') #kind of correlation-> ‘pearson’, ‘kendall’, ‘spearman’ #plot correlation corr_matrix.style.background_gradient(cmap='coolwarm') # 'RdBu_r', 'BrBG_r', & PuOr_r are other good diverging colormaps