My code below is giving me the following error "IndexError: index 2048 is out of bounds for axis 1 with size 2". I am quite new so I do not have any idea about how to solve this. Any kind of help would be appreciated.
X=[]
X1 = np.load('class_1data_model1.npy')
X2 = np.load('class_2data_model1.npy')
X_data = np.append(X1,X2,axis=0)
#X_data = np.append(X1,X2)
Y_data = X_data[:,2048]
X_data = X_data[:,0:2048]
x_tr,x_ts,y_tr,y_ts = train_test_split(X_data, Y_data, test_size=0.2,random_state=10)
This is because you have some index values (probably in loop ) which are out of bound. For example you might have removed some values from your data frame and now you are calling your those indexes which are not even there. You might want to reset the index something like this:
df.reset_index(level=0, inplace=True)
df=featuredfs_reduced.drop(['index'], axis = 1)
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