CODEWITHSUNDEEP
pythonpandasdataframe
Laxman Srivastava
Laxman Srivastava

Reputation: 421

'DataFrame' object has no attribute 'as_matrix

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

Upvotes: 42

Views: 77525

Answers (4)

TUSHAR
TUSHAR

Reputation: 891

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

Follow this link for additional information.

Upvotes: 75

juan Isaza
juan Isaza

Reputation: 3987

As of Pandas 1.0 use .to_numpy() other ways are deprecated according to the docs

Upvotes: 5

Valdas
Valdas

Reputation: 218

Replacing .as_matrix() with .values() also resulted in an error, but replacing it with .to_numpy() worked perfectly

Convert the DataFrame to a NumPy array.

New in version 0.24.0.

Upvotes: 16

Code42
Code42

Reputation: 2502

Dataframe depricated a lot of attributes such as .ix

Here you need this command:

y = df['Price'].values

Upvotes: 17

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