Seaborn correlation

Correlation plot python seaborn

import matplotlib.pyplot as plt
import seaborn as sns
figure = plt.figure(figsize=(12, 6))
sns.heatmap(train_data.corr(), annot=True,cmap=plt.cm.cool)
plt.tight_layout()
plt.xlabel('Corr')
plt.show()

Show integer seabron heatmap values

sns.heatmap(table2,annot=True,cmap='Blues', fmt='g')

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)

Source: stackoverflow.com

Seaborn correlation

import matplotlib.pyplot as plt
import seaborn as sns

figure = plt.figure(figsize=(12, 6))
sns.heatmap(df.corr(), annot=True,cmap=plt.cm.cool)
plt.tight_layout()
plt.xlabel('Corr')
plt.show()

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