The index method does not do what you expect. To get an item at an index, you must use the [] syntax:
>>> my_list = ['foo', 'bar', 'baz']
>>> my_list[1] # indices are zero-based
'bar'
index is used to get an index from an item:
>>> my_list.index('baz')
2
If you're asking whether there's any way to get index to recurse into sub-lists, the answer is no, because it would have to return something that you could then pass into [], and [] never goes into sub-lists.
The index method does not do what you expect. To get an item at an index, you must use the [] syntax:
>>> my_list = ['foo', 'bar', 'baz']
>>> my_list[1] # indices are zero-based
'bar'
index is used to get an index from an item:
>>> my_list.index('baz')
2
If you're asking whether there's any way to get index to recurse into sub-lists, the answer is no, because it would have to return something that you could then pass into [], and [] never goes into sub-lists.
list is an inbuilt function don't use it as variable name it is against the protocol instead use lst.
To access a element from a list use [ ] with index number of that element
lst = [1,2,3,4]
lst[0]
1
one more example of same
lst = [1,2,3,4]
lst[3]
4
Use (:) semicolon to access elements in series first index number before semicolon is Included & Excluded after semicolon
lst[0:3]
[1, 2, 3]
If index number before semicolon is not specified then all the numbers is included till the start of the list with respect to index number after semicolon
lst[:2]
[1, 2]
If index number after semicolon is not specified then all the numbers is included till the end of the list with respect to index number before semicolon
lst[1:]
[2, 3, 4]
If we give one more semicolon the specifield number will be treated as steps
lst[0:4:2]
[1, 3]
This is used to find the specific index number of a element
lst.index(3)
2
This is one of my favourite the pop function it pulls out the element on the bases of index provided more over it also remove that element from the main list
lst.pop(1)
2
Now see the main list the element is removed..:)
lst
[1, 3, 4]
For extracting even numbers from a given list use this, here i am taking new example for better understanding
lst = [1,1,2,3,4,44,45,56]
import numpy as np
lst = np.array(lst)
lst = lst[lst%2==0]
list(lst)
[2, 4, 44, 56]
For extracting odd numbers from a given list use this (Note where i have assingn 1 rather than 0)
lst = [1,1,2,3,4,44,45,56]
import numpy as np
lst = np.array(lst)
lst = lst[lst%2==1]
list(lst)
[1, 1, 3, 45]
Happy Learning...:)
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Indexing one array with another array has different behavior than if I index with the same array without explicitly casting it to a numpy array first (i.e. I leave it as a list of lists). I can't find the pages in the documentation that explain this kind of indexing
Example:
#make a 5x5 matrix for testing, the numbers arent important
a = np.random.rand(5,5)
#another arbitrary 5x5 matrix
b = [[0, 0, 0, 0, 1],
[0, 0, 0, 1, 1],
[0, 0, 1, 1, 0],
[0, 1, 1, 0, 0],
[1, 1, 0, 0, 0]]
c = np.array(b)
a[b] #gives the error "too many indices for array: array is 2-dimensional, but 5 were indexed"
a[tuple(c)] #gives the same error as a[b]
a[c] #for some reason this works, and it returns a 5x5x5 matrix So the behavior changes when I convert the list of lists to a numpy array. And I can't really tell what it's doing by looking at the output of a[c]. It seems to be switching the rows around somehow but I'm confused at why it returns five copies of the original matrix. Is there any page in the documentation that describes this type of indexing?