Deleting Masked Elements In Arrays By Index

I have three arrays and one contains masked values based off some condition: a = numpy.ma.MaskedArray(other_array, condition) (Initially I used masked arrays because my condition

Solution 1:

If there are only 3 lists, you can use pop() function to delete the indexes from List B & C. Pass the Index to pop() where it is '--' in List A.

for i in range(len(a)):
    if numpy.ma.is_masked(a[i]):
        b.pop(i)
        c.pop(i)

It will delete that Index from the lists B & C, where '--' is present in List A.

Solution 2:

Try cloning the array and pop on it and replace the temp array like

a = [1,'--',3]
b = [4,5,6]
c = [7,8,9]
t=a[:]
for i in range(len(a)):
    try:
        value = int(a[i])
    except ValueError:
        t.pop(i)
        b.pop(i)
        c.pop(i)
a=t
print a
print b
print c

You can also use equal when you have the same symbol for masked value

a = [1,'--',3]
b = [4,5,6]
c = [7,8,9]
t=a[:]
for i in range(len(a)):
    if a[i]=='--':
        t.pop(i)
        b.pop(i)
        c.pop(i)
a=t
print a
print b
print c