My question is kind of a two part question.
If you are given a list
numbers = [10, 20, 30, 100]
and you wish to edit every element inside the list by adding 10 to each element. How would I go about doing this? And are you able to do this without creating a separate list?
Similarly, if you are given a list such as:
words = ['hello', 'hey', 'hi']
and wish to change every letter h inside the list to another letter say 'r' would it be a similar algorithm as the last?
Because you said you don't want to create a new list, you can't use list comprehension or map function as #gcandal suggested. You can try this instead.
def update_list(l, fn):
for i in range(len(l)):
l[i] = fn(l[i])
update_list(numbers, lambda a: a + 10)
update_list(words, lambda s: s.replace('h', 'r'))
You can do it by applying map:
numbers_plus_ten = map(lambda number: number + 10, numbers)
Or using list comprehension:
numbers_plus_ten = [number + 10 for number in numbers]
Related
Provided with a list of lists. Here's an example myList =[[70,83,90],[19,25,30]], return a list of lists which contains the difference between the elements. An example of the result would be[[13,7],[6,5]]. The absolute value of (70-83), (83-90), (19-25), and (25-30) is what is returned. I'm not sure how to iterate through the list to subtract adjacent elements without already knowing the length of the list. So far I have just separated the list of lists into two separate lists.
list_one = myList[0]
list_two = myList[1]
Please let me know what you would recommend, thank you!
A custom generator can return two adjacent items at a time from a sequence without knowing the length:
def two(sequence):
i = iter(sequence)
a = next(i)
for b in i:
yield a,b
a = b
original = [[70,83,90],[19,25,30]]
result = [[abs(a-b) for a,b in two(sequence)]
for sequence in original]
print(result)
[[13, 7], [6, 5]]
Well, for each list, you can simply get its number of elements like this:
res = []
for my_list in list_of_lists:
res.append([])
for i in range(len(my_list) - 1):
# Do some stuff
You can then add the results you want to res[-1].
I have a dataframe, df, with lists in a specific column, col_a. For example,
df = pd.DataFrame()
df['col_a'] = [[1,2,3], [3,4], [5,6,7]]
I want to use conditions on these lists and apply specific modifications, including appends. For example, imagine that if the length of the list is > 2, I want to append another element, which is the sum of the last two elements of the current list. So, considering the first list above, I have [1, 2, 3] and I want to have [1, 2, 3, 5].
What I tried to do was:
df.loc[:, col_a] = df[col_a].apply(
lambda value: value.append(value[-2]+value[-1])
if len(value) > 1 else value)
But the result in that column is None for all the elements of the column.
Can someone help me, please?
Thank you very much in advance.
The issue is that append is an in place function and returns None. You need to add two lists together. So a working example with dummy variable would be:
df = pd.DataFrame({'cola':[[1,2],[2,3,4]], 'dum':[1,2]})
df['cola']=df.cola.apply(lambda x: (x+[sum(x[-2:])] if len(x)>2 else x))
If you want to use append try this:
def my_logic_for_list(values):
if len(values) > 2:
return values + [values[-2]+values[-1]]
return values
df['new_a'] = df['a'].apply(my_logic_for_list)
You can not use append inside lambda function.
I started to learn Python a few days ago.
I know that I can convert variables into int, such as x = int (x)
but when I have 5 variables, for example, is there a better way to convert these variables in one line? In my code, I have 2 variables, but what if I have 5 or more variables to convert, I think there is a way
You for help
(Sorry for my English)
x,y=input().split()
y=int(y)
x=int(x)
print(x+y)
You could use something like this .
a,b,c,d=[ int(i) for i in input().split()]
Check this small example.
>>> values = [int(x) for x in input().split()]
1 2 3 4 5
>>> values
[1, 2, 3, 4, 5]
>>> values[0]
1
>>> values[1]
2
>>> values[2]
3
>>> values[3]
4
>>> values[4]
5
You have to enter value separated with spaces. Then it convert to integer and save into list. As a beginner you won't understand what the List Comprehensions is. This is what documentation mention about it.
List comprehensions provide a concise way to create lists. Common applications are to make new lists where each element is the result of some operations applied to each member of another sequence or iterable, or to create a subsequence of those elements that satisfy a certain condition.
So the extracted version of [int(x) for x in input().split()] is similar to below function,
>>> values = []
>>> input_values = input().split()
1 2 3 4 5
>>> for val in input_values:
... values.append(int(val))
...
>>> values
[1, 2, 3, 4, 5]
You don't need to create multiple variables to save your values, as this example all the values are saved in values list. So you can access the first element by values[0] (0th element is the first value). When the number of input values are large, let's say 100, you have to create 100 variables to save it. But you can access 100th value by values[99].
This will work with any number of values:
# Split the input and convert each value to int
valuesAsInt = [int(x) for x in input().split()]
# Print the sum of those values
print(sum(valuesAsInt))
The first line is a list comprehension, which is a handy way to map each value in a list to another value. Here you're mapping each string x to int(x), leaving you with a list of integers.
In the second line, sum() sums the whole array, simple as that.
There is one easy way of converting multiple variables into integer in python:
right, left, top, bottom = int(right), int(left), int(top), int(bottom)
You could use the map function.
x, y = map(int, input().split())
print x + y
if the input was:
1 2
the output would be:
3
You could also use tuple unpacking:
x, y = input().split()
x, y = int(x), int(y)
I hope this helped you, have a nice day!
This question already has answers here:
How do I remove duplicates from a list, while preserving order?
(30 answers)
Closed 4 years ago.
the program says "TypeError: 'int' object is not iterable"
list=[3,3,2]
print(list)
k=0
for i in list:
for l in list:
if(l>i):
k=l
for j in k:
if(i==j):
del list[i]
print(list)
An easy way to do this is with np.unique.
l=[3,3,2]
print(np.unique(l))
Hope that helps!
Without using any numpy the easiest way I can think of is to start with a new list and then loop through the old list and append the values to the new list that are new. You can cheaply keep track of what has already been used with a set.
def delete_duplicates(old_list):
used = set()
new_list= []
for i in old_list:
if i not in used:
used.add(i)
new_list.append(i)
return new_list
Also, a couple tips on your code. You are getting a TypeError from the for j in k line, it should be for j in range(k). k is just an integer so you can't iterate over it, but range(k) creates an iterable that will do what you want.
Just build another list
>>> list1=[3,2,3]
>>> list2=[]
>>> for i in list1:
... if i in list2:
... pass
... else:
... list2.append(i)
...
>>> list2
[3, 2]
You can always add list1 = list2 at the end if you prefer.
You can use set()
t = [3, 3, 2]
print(t) # prints [3, 3, 2]
t = list(set(t))
print(t) # prints [2, 3]
To remove a duplicate item in a list and get list with unique element, you can always use set() like below:
example:
>>>list1 = [1,1,2,2,3,3,3]
>>>new_unique_list = list(set(list1))
>>> new_unique_list
>>>[1, 2, 3]
You have the following line in your code which produces the error:
for j in k:
k is an int and cannot be iterated over. You probably meant to write for j in list.
There are a couple good answers already. If you really want to write the code yourself however, I'd recommend functional style instead of working in place (i.e. modifying the original array). For example like the following function which is basically a port of Haskell's Data.List.nub.
def nub(list):
'''
Remove duplicate elements from a list.
Singleton lists and empty lists cannot contain duplicates and are therefore returned immediately.
For lists with length gte to two split into head and tail, filter the head from the tail list and then recurse on the filtered list.
'''
if len(list) <= 1: return list
else:
head, *tail = list
return [head] + nub([i for i in tail if i != head])
This is—in my opinion—easier to read and saves you the trouble associated with multiple iteration indexes (since you create a new list).
list1 = [[1,'Rob','Ben', 'Ni', 'cool'],[2,'Jack','Jo','Raj','Giri'],[...]....]
list2 = [['20 May 2013',20],['25 May 2013',26],[...]....]
there will be 100 of such records
i want the resulting list like
list1 = [[1, '20 May 2013', 20, 'Rob','Ben','Ni', 'cool'],[2,'25 May 2013', 26, 'Jack','Jo','Raj','Giri']]
any suggestion ?
[list1, list2].transpose()*.flatten()
Assuming cardinality of list1 and list2 is same.
UPDATE
Question is modified drastically now, but you can get what you seek by extending the transpose as below:
[list1, list2].transpose()*.flatten()
.collect{[it[0], it[-2..-1], it[1..-3]]}*.flatten()
How about this?
def i = 0
def combined = list1.collect([]) { it + list2[i++] }
The result row isn't the concatenation of the two list rows - it takes the second row and inserts it into index 1 of the first row, without the last two elements. So
[list1, list2].transpose()*.flatten()
won't work - tho' it is pretty cool :-). However,
[list1,list2].transpose().collect { def l = it.flatten(); l[0..0] + l[5..6] + l[1..2] }
gives the result show in the question. And I fully admit to standing on the backs of giants :-)