seaborn create a correlation matrix
import seaborn as sns
%matplotlib inline
# calculate the correlation matrix
corr = auto_df.corr()
# plot the heatmap
sns.heatmap(corr,
xticklabels=corr.columns,
yticklabels=corr.columns)
seaborn create a correlation matrix
import seaborn as sns
%matplotlib inline
# calculate the correlation matrix
corr = auto_df.corr()
# plot the heatmap
sns.heatmap(corr,
xticklabels=corr.columns,
yticklabels=corr.columns)
correlation between two columns pandas
Top15['Citable docs per Capita'].corr(Top15['Energy Supply per Capita'])
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