Created
June 14, 2017 06:44
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ML - PairPlot - using Advertisement data using Jupyter
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| import pandas as pd | |
| import seaborn as sns | |
| data = pd.read_csv('C:\work\ML\Advertising.csv', index_col= 0) | |
| print(data.head()) | |
| %matplotlib inline | |
| #sns.pairplot (data, x_vars=['TV','Radio','Newspaper'], y_vars='Sales') | |
| #feature_cols =['TV','Radio','Newspaper'] | |
| #print(feature_cols) | |
| X = data[['TV','Radio','Newspaper']] | |
| y = data['Sales'] | |
| X.shape | |
| #print(X.shape) | |
| #print(y.shape) | |
| #print(X) | |
| sns.pairplot (data, x_vars=['TV','Radio','Newspaper'], y_vars='Sales') |
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