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I have a 2D list = [[1, 8, 3], [4, 5, 6], [0, 5, 7]], and I want to delete columns in a loop.
For example, columns with index: 0(first) and 2(last) - - the result after deletions should be: [8, 5, 5].
There is a problem, because when I delete the 0th column, the size of the list is decreased to (0,1), and the 2nd index is out of scope.
What is the fastest method to delete columns in a loop without the out-of-scope problem?
For a better picture:
[[1, 8, 3],
[4, 5, 6],
[0, 5, 7]]
There is no such shortcut in python except for iterating over all the list items and removing those index values.
However, you can use pandas which is meant for some other purpose but will do the task.
import pandas as pd
s = [[1, 8, 3], [4, 5, 6], [0, 5, 7]]
df = pd.DataFrame(s,columns=['val1','val2','val3'])
li = df.drop('val1',axis=1).values.tolist()
now li will look like this
[[8, 3], [5, 6], [5, 7]]
You can use numpy like this:
import numpy as np
my_list = np.array([[1, 8, 3], [4, 5, 6], [0, 5, 7]])
new_list = my_list[:, 1].copy()
print(new_list)
Output:
>>> [8, 5, 5]
Also numpy.delete(your_list, index, axis) is do the same job:
new_list = np.delete(my_list,(0, 2), axis=1)
(0, 2) is the indices of the columns 0 and 2
axis=1 says numpy that (0, 2) are columns indices not rows.
if you want to delete rows 0 and 2 you can change axis=1 to axis=0
Output is a little different:
>>> array([[8],
[5],
[5]])
For a pure python approach:
my_list = [[1, 8, 3], [4, 5, 6], [0, 5, 7]]
new_list = [value[1] for value in my_list]
print(new_list)
Output:
>>> [8, 5, 5]
L is 2D list:
print(map(lambda x: x[1:], L))
data= [[1, 8, 3], [4, 5, 6], [0, 5, 7]]
index_to_remove=[0,2]
[list(x) for x in zip(*[d for i,d in enumerate(zip(*data)) if i not in index_to_remove])]
If I understood your question correctly, you want to keep the middle element (index 1) of each list,in that case I would suggest creating a new list. There could be other better ways, for sure. But you could try this, if this works for you:
twoD_list = [[1, 8, 3], [4, 5, 6], [0, 5, 7]]
def keep_col( twoD_list ,index_to_keep = 1):
final_list = []
for x in twoD_list:
final_list.append(x[index_to_keep])
return final_list
final_list = keep_col( twoD_list , 1)
Final output:
[8,5,5]
Assuming you always want only the second element and the inner lists always have at least two elements.
Pure python with list comprehension:
lst = [
[1, 8, 3],
[4, 5, 6],
[0, 5, 7],
]
filtered_lst = [
inner_element
for inner_lst in lst
for i, inner_element in enumerate(inner_lst)
if i == 1
]
print(filtered_lst)
# [8, 5, 5]
If you want you can the reassign the new list to the old variable:
lst = filtered_lst
The advantages of this method are:
no need to worry about the list being altered while you iterate it,
no need to import other libraries
list comprehension is built-in
list comprehension is often the fastest way to filter a list (see for example this article)
easier to read and maintain that other solutions (in my opinion).
Via itemgetter to extract the value at index 1.
from operator import itemgetter
my_list = [[1, 8, 3], [4, 5, 6], [0, 5, 7]]
result = list(map(itemgetter(1), my_list))
try this
my_list = [[1, 8, 3], [4, 5, 6], [0, 5, 7]]
filter_col=[0,2]
col_length=3
my_list=[[x[i] for i in range(col_length) if i not in filter_col] for x in my_list]
u do not want to directly mutate the list that you are working on
this performs a list comprehension to create a new list from the existing list
edit:
just saw u wanted only a flat list
assuming u only want one element for the list u can use
my_list=[x[1] for x in my_list]
I am trying to split a list into multiple ones. The original list lst should be split on every element that is present in a second list, split_on.
Example:
lst = [1, 2, 3, 4, 5, 6, 7, 8]
split_on = [3, 4, 7]
should yield:
[[1,2,3],[3,4],[4,5,6,7],[7,8]]
Note that both lst and split_on do not contain duplicate elements and that any item of split_on is also an item of lst. Finally, the order of the elements of split_on can be random.
How about the following:
a = [1,2,3,4,5,6,7,8]
b = [4,3,7]
res = [[]]
for i in a:
res[-1].append(i)
if i in b:
res.append([i])
print(res) # [[1, 2, 3], [3, 4], [4, 5, 6, 7], [7, 8]]
Note that since b is only used for membership tests and the order does not matter, you could consider converting it to a set so that the approach scales better.
I'm very new to python (using python3) and I'm trying to add numbers from one list to another list. The only problem is that the second list is a list of lists. For example:
[[1, 2, 3], [4, 5, 6]]
What I want is to, say, add 1 to each item in the first list and 2 to each item in the second, returning something like this:
[[2, 3, 4], [6, 7, 8]]
I tried this:
original_lst = [[1, 2, 3], [4, 5, 6]]
trasposition_lst = [1, 2]
new_lst = [x+y for x,y in zip(original_lst, transposition_ls)]
print(new_lst)
When I do this, I get an error
can only concatenate list (not "int") to list
This leads me to believe that I can't operate in this way on the lists as long as they are nested within another list. I want to do this operation without flattening the nested list. Is there a solution?
One approach using enumerate
Demo:
l = [[1, 2, 3], [4, 5, 6]]
print( [[j+i for j in v] for i,v in enumerate(l, 1)] )
Output:
[[2, 3, 4], [6, 7, 8]]
You can use enumerate:
l = [[1, 2, 3], [4, 5, 6]]
new_l = [[c+i for c in a] for i, a in enumerate(l, 1)]
Output:
[[2, 3, 4], [6, 7, 8]]
Why don't use numpy instead?
import numpy as np
mat = np.array([[1, 2, 3], [4, 5, 6]])
mul = np.array([1,2])
m = np.ones(mat.shape)
res = (m.T *mul).T + mat
You were very close with you original method. Just fell one step short.
Small addition
original_lst = [[1, 2, 3], [4, 5, 6]]
transposition_lst = [1, 2]
new_lst = [[xx + y for xx in x] for x, y in zip(original_lst, transposition_lst)]
print(new_lst)
Output
[[2, 3, 4], [6, 7, 8]]
Reasoning
If you print your original zip it is easy to see the issue. Your original zip yielded this:
In:
original_lst = [[1, 2, 3], [4, 5, 6]]
transposition_lst = [1, 2]
for x,y in zip(original_lst, transposition_lst):
print(x, y)
Output
[1, 2, 3] 1
[4, 5, 6] 2
Now it is easy to see that you are trying to add an integer to a list (hence the error). Which python doesn't understand. if they were both integers it would add them or if they were both lists it would combine them.
To fix this you need to do one extra step with your code to add the integer to each value in the list. Hence the addition of the extra list comprehension in the solution above.
A different approach than numpy that could work even for lists of different lengths is
lst = [[1, 2, 3], [4, 5, 6, 7]]
c = [1, 2]
res = [[l + c[i] for l in lst[i]] for i in range(len(c))]
i have a list [1, 2, 3]
i want to find number of times the elements of this list appears in a list of list:
lol = [[1, 2, 4, 5], [2, 3, 1, 2], [1, 2, 3], [3, 2, 6, 7, 1], [1, 4, 2, 6, 3]]
occurrences = 4
What I’m doing currently is the following:
a = [1, 2, 3]
lol = [[1, 2, 4, 5], [2, 3, 1, 2], [1, 2, 3], [3, 2, 6, 7, 1], [1, 4, 2, 6, 3]]
def get_count(a, b):
a = set(a)
return sum([a.issubset(x) for x in b])
print(get_count(a, lol))
This method works but is quite slow when I have 100s of 1000s of list to compare with a list of list (lol remains static!)
can we also preserve the "order" of the elements? there can be other elements in between. in this case occurrences will be 2 for the above case
Why not try:
testlist = lol ##Create a test list that we will work with
for i in range len(testlist): ##Start a loop that will repeat length of testlist times
if a in testlist: ##If/When it finds the first occurrence of the list a
Occurrences =+ 1 ##It adds 1 to the amount off occurences
Pos = testlist.index(a)
testlist.del(Pos) ##It deletes the instance from the list.
This should work
I'm trying to create a list of the index's of the minimums of each list in a list of list. I have only been able to find an answer for a simple list.
data = [[9 ,5, 2, 8, 6], [3, 5, 1, 9, 2], [2, 9, 3, 0, 5]]
My first idea was to use
.index(min(n))
but it doesn't work for a list of lists.
Expected result:
new_list = [2, 2, 3]
use a list comprehension:
[x.index(min(x)) for x in data]
>>>data = [[9 ,5, 2, 8, 6], [3, 5, 1, 9, 2], [2, 9, 3, 0, 5]]
>>>[x.index(min(x))+1 for x in data]
[3, 3, 4] //actual index (Your required output)
Try it:
result = []
for list in data:
result.append(list.index(min(list)))
At the same time, the answer what you want to get is [2,2,3], not [3,3,4]. Because the list's index start from 0. I hope this can help you.