Discrete Variable Combinations

Python

Compare the mean price for the combinations of levels in the neighbourhood_group and room_type columns using Pandas Pivot and Seaborn Heatmap.

 1|  def feature_interactions(df,feature1, feature2,continuous_col):
 2|  	group = df.groupby([feature1,feature2],as_index=False)[continuous_col].mean().reset_index(drop=True)
 3|  	pivot = group.pivot(index=feature1, columns=feature2, values=continuous_col)
 4|  	pivot.fillna(0, inplace=True)
 5|  	plt.figure(figsize=(10,6))
 6|  	sns.heatmap(pivot,cmap='Reds')
 7|  	plt.show()
 8|  
 9|  feature_interactions(data,'room_type','neighbourhood_group','price')
Discrete Variable Combinations
analyseup
Seaborn | Heatmap
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