'DataFrame' object has no attribute 'as_matrix

Question

import pandas as pd  from sklearn.model_selection import train_test_split  import pandas as pd  from sklearn.model_selection import train_test_split  from sklearn import ensemble  from sklearn.metrics import mean_absolute_error  from joblib import *  df = pd.read_csv('~/Downloads/Melbourne_housing_FULL.csv')  df.head(n=5) del df['Address'] del df['Method'] del df['SellerG'] del df['Date'] del df['Postcode'] del df['Lattitude'] del df['Longtitude'] del df['Regionname'] del df['Propertycount'] df.dropna(axis=0, how='any', thresh=None, subset=None, inplace=True) features_df = pd.get_dummies(df, columns=['Suburb', 'CouncilArea', 'Type']) X = features_df.as_matrix() y = df['Price'].as_matrix() 

Can anyone please help me I am facing a error as soon as I put X = features_df.as_matrix() y = df['Price'].as_matrix() and I am learning Machine Learning with a book called Machine Learning with python by oliver... Any Help is highly appreciated Thankyou

Answer 1

df.as_matrix() was deprecated after version 0.23.0. Use df.values instead.

Follow this link for additional information.

Answer 2

Dataframe depricated a lot of attributes such as .ix

Here you need this command:

y = df['Price'].values