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parulnith/entire_population.py

Last active May 3, 2021 05:09
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entire_population.py
sns.lmplot(x = 'culmen_length_mm',y = 'culmen_depth_mm', data = df);
# For calculating correlation coefficient and superimposing on the plot
r = stats.pearsonr(df['culmen_length_mm'], df['culmen_depth_mm'])[0]
ax = plt.gca()
ax.text(.03, 1, 'r={:.3f}'.format(r),
transform=ax.transAxes)
#Displaying the plot
plt.show()
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