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 colormapshow to find correlation in scipy?
>>> xy = np.array([[10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
... [2, 1, 4, 5, 8, 12, 18, 25, 96, 48]])
>>> scipy.stats.linregress(xy)
LinregressResult(slope=7.4363636363636365, intercept=-85.92727272727274, rvalue=0.7586402890911869, pvalue=0.010964341301680825, stderr=2.257878767543913)Copyright © 2021 Codeinu
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