delete names columns from dataframe

I crate a dataframe from iris.csv file :

raw_data = pd.read_csv("iris.csv", header=0)

raw_data :

raw_data

Species Sepal.Length Sepal.Width Petal.Length Petal.Width
0 setosa 5.1 3.5 1.4 0.2
1 setosa 4.9 3.0 1.4 0.2
2 setosa 4.7 3.2 1.3 0.2
3 setosa 4.6 3.1 1.5 0.2
4 setosa 5.0 3.6 1.4 0.2
5 setosa 5.4 3.9 1.7 0.4
6 setosa 4.6 3.4 1.4 0.3
7 setosa 5.0 3.4 1.5 0.2
8 setosa 4.4 2.9 1.4 0.2


Then I extract the first column in a data frame ;

train_y = raw_data.ix[:,0]


train_y :

train_y

0 setosa
1 setosa
2 setosa
3 setosa
4 setosa
5 setosa
6 setosa
7 setosa
8 setosa
9 setosa
10 setosa


But when I try to extract the train_X composed from other columns :

train_X = raw_data.ix[:,1:]


I get columns names too
Is there any way to delete nams columns from train_X

thanks

Sepal.Length Sepal.Width Petal.Length Petal.Width

raw_data.ix[:,1:].values

1 Answer
1

To get the data, try this:

train_X = raw_data.iloc[:, 1:]


raw_data = pd.read_csv("iris.csv", header=False)

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