如何删除 numpy 数组中的元素并在 python 及其索引中使用 for 循环

Question

This is what I made and it doesn't work, I made a for loop and I use it to get the index and use it in another thing why doesn't it work or can I found another method to delete the element and use the index of it.

Here is some of my code

X1_train, X1_test, y1_train, y1_test = train_test_split(EclipseFeautres, EclipseClass, test_size=0.3, random_state=0)
E_critical_class=y1_train.copy()
E_critical_class = E_critical_class[E_critical_class != 1]
for x in range(len(E_critical_class)):
if(E_critical_class[x]==1):
    E=np.delete(E_critical_class,x)

Answer 1

Your task is something like filtering of an array. You want to drop all elements == 1 .

Assume that the source array ( arr ) contains:

array([0, 1, 2, 3, 4, 1, 0, 3, 7, 1])

so it contains 3 elements == 1 (to be dropped).

A much simpler way to do it is to use boolean indexing and save the result back to the original variable:

arr = arr[arr != 1]

The result is:

array([0, 2, 3, 4, 0, 3, 7])

as you wish - with all one s dropped.

Answer 2

#dizi icinde olan ve kendini tekrarlayan sayiyi delete etme!!!!!!
#to delete the repeated element in the numpy array
import numpy as np
a = np.array([10, 0, 0, 20, 0, 30, 40, 50, 0, 60, 70, 80, 90, 100,0])
print("Original array:")
print(a)
index=np.zeros(0)
print("index=",index)
for i in range(len(a)):
    if a[i]==0:
        index=np.append(index, i)
print("index=",index)
new_a=np.delete(a,index)
print("new_a=",new_a)