Getting Typeerror: '(slice(none, None, None), 0)' Is An Invalid Key

Trying to plot the decision Boundary of the k-NN Classifier but is unable to do so getting TypeError: '(slice(None, None, None), 0)' is an invalid key h = .01 # step size in the m

Solution 1:

Since you are trying to access directly as array, you are getting that issue. Try this:

from sklearn.impute importSimpleImputerimputer= SimpleImputer(missing_values = np.nan, strategy = 'mean',verbose=0)
imputer = imputer.fit(X.iloc[:, 1:3])
X.iloc[:, 1:3] = imputer.transform(X.iloc[:, 1:3])

Using iloc/loc will resolve the issue.

Solution 2:

You need to use iloc/loc to acces df. Try adding iloc to X so X.iloc[:, 0]

Solution 3:

I had the same issue with the following

X = dataset.iloc[:,:-1]

Then I added .values property, after that it worked without problem

X = dataset.iloc[:,:-1].values

Solution 4:

I fixed it by converting the pandas dataframe to a numpy array. Got help from here

Solution 5:

When you are trying to fetch the dataset using pandas use the below code:

dataset = pd.read_csv("path or file name")
x = dataset.iloc[:,:-1].values
y = dataset.iloc[:,-1].values