Data Import
import pandas as pd
from sklearn.datasets import load_boston
# Load the Boston Housing Prices dataset
boston = load_boston()
boston_df = pd.DataFrame(boston.data, columns=boston.feature_names)
boston_df['PRICE'] = boston.target
Sorting DataFrame
Sorting can be done using .sort_values(). We need to sepcify the columns in a list and also specify if we want to sort in ascending or descending order for the columns. pandas has a better way to sort the dataframe, so I will just briefly explain .sort_values() here.
boston_df.sort_values(['CRIM', 'TAX'], ascending=[True, False])
그다 필요없는 기술이지만 일단 알아두면 좋을듯...?
https://ai-fin-tech.tistory.com/entry/Subsetting-Columns-and-Rows-with-pandas
Subsetting Columns and Rows with pandas
Data Import import pandas as pd from sklearn.datasets import load_boston # Load the Boston Housing Prices dataset boston = load_boston() boston_df = pd.DataFrame(boston.data, columns=boston.feature_names) boston_df['PRICE'] = boston.target Subsetting a sin
ai-fin-tech.tistory.com
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