pandas - Data Import

Data Import with pandas

To import the Boston Housing Prices dataset and build a DataFrame with column names for the target and features, you can use the load_boston() function from sklearn.datasets and then create the DataFrame using pandas. Here's the code to do that:

import pandas as pd

import numpy as np

from sklearn.datasets import load_boston

boston = load_boston()

X_boston = boston.data

y_boston = boston.target

The dataset has data, target, feature_names attributes as shown below:

Boston House Prices dataset

Boston House Prices dataset description

In order to construct a dataframe, use the code below:

 

# Create a DataFrame for features

boston_df = pd.DataFrame(X_boston, columns=boston.feature_names)

# Add the target column to the DataFrame

boston_df['PRICE'] = y_boston

Boston House Prices dataset

 

https://ai-fin-tech.tistory.com/entry/Subsetting-Rows-with-Categorical-Variables

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