Pré processamento erros conforme abaixo mostrados

[jonathan_costa]

Na parte de pré-processamento do curso de Ciências de Dados para empresas e Negócios está acontecendo esses erros:

from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
X = scaler.fit_transform(X_all)

TypeError Traceback (most recent call last)
in ()
1 from sklearn.preprocessing import MinMaxScaler
2 scaler = MinMaxScaler()
—-> 3 X = scaler.fit_transform(X_all)

6 frames
/usr/local/lib/python3.10/dist-packages/sklearn/utils/validation.py in _get_feature_names(X)
1901 # mixed type of string and non-string is not supported
1902 if len(types) > 1 and “str” in types:
-> 1903 raise TypeError(
1904 “Feature names are only supported if all input features have string names, ”
1905 f”but your input has {types} as feature name / column name types. ”

TypeError: Feature names are only supported if all input features have string names, but your input has [‘int’, ‘str’] as feature name / column name types. If you want feature names to be stored and validated, you must convert them all to strings, by using X.columns = X.columns.astype(str) for example. Otherwise you can remove feature / column names from your input data, or convert them all to a non-string data type.

Mias embaixo:
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25)

NameError Traceback (most recent call last)
in ()
1 from sklearn.model_selection import train_test_split
—-> 2 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25)

NameError: name ‘X’ is not defined

Abaixo:

X_train.shape, y_train

NameError Traceback (most recent call last)
in ()
—-> 1 X_train.shape, y_train

NameError: name ‘X_train’ is not defined

Abaixo:

X_test.shade, y_test

—————————————————————————
NameError Traceback (most recent call last)
in ()
—-> 1 X_test.shade, y_test

NameError: name ‘X_test’ is not defined

Poderia ajudar?

[Fábio Spak]

Olá Jonathan, verifique se há algum erro de digitação no nome das variáveis.

Fabio

[MARCELO TORRES]

Tive o mesmo erro troque o nome da variáveis , coloquei X, x, Nada resolveu.

Reuniciei a maquina, o collab, tudo

A mensagem diz que tem dados em formato de string provavelmente no x_cat.

Reconverti tudo mas deu o mesmo erro

—————————————————————————

TypeError Traceback (most recent call last)

<ipython-input-75-3e293ed36e51> in <cell line: 3>()
1 from sklearn.preprocessing import MinMaxScaler
2 scaler = MinMaxScaler()
—-> 3 X = scaler.fit_transform(X_all)

6 frames
/usr/local/lib/python3.10/dist-packages/sklearn/utils/validation.py in _get_feature_names(X)
1901 # mixed type of string and non-string is not supported
1902 if len(types) > 1 and “str” in types:
-> 1903 raise TypeError(
1904 “Feature names are only supported if all input features have string names, ”
1905 f”but your input has {types} as feature name / column name types. ”

TypeError: Feature names are only supported if all input features have string names, but your input has [‘int’, ‘str’] as feature name / column name types. If you want feature names to be stored and validated, you must convert them all to strings, by using X.columns = X.columns.astype(str) for example. Otherwise you can remove feature / column names from your input data, or convert them all to a non-string data type.

[MARCELO TORRES]

print(X_all.dtypes)

a coluna overtime está como objeto

 

NumCompaniesWorked int64

OverTime object

PercentSalaryHike int64

PerformanceRating int64

[MARCELO TORRES]

Chatgpt

X_all.columns = X_all.columns.astype(str)

RESOLVIDO

[Jones Granatyr]

Que bom que deu certo!

[Author]

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