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()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()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 pairplot
>>> import seaborn as sns; sns.set(style="ticks", color_codes=True)
>>> iris = sns.load_dataset("iris")
>>> g = sns.pairplot(iris)pairplot with selected field
pp = sns.pairplot(data=data,
x_vars=['age'],
y_vars=['weight', 'height', 'happiness'])Copyright © 2021 Codeinu
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