I have a dataframe as follows, I would like to shuffle the words in each row using random.shuffle(),(e.g the new first row will be ‘nice is weather the’ ),so I have done the following, and tried to map or apply shuffle() function but it returns None. or I am not sure what I am doing wrong here. and then finally
Can you yield from a lambda function?
I have a generator function in a class: In another function I initalize it as a variable: And it’s yielded as necessary: Can defining the generator be done in one line, however? I’ve considered the below: Here’s a minimal code I’m working with: Output is below: I just wanted to see if I could get rid of Foo.generator and instead
How to use applymap lambda with two conditions
I’d like to find duplicated rows in a Pandas dataframe. When I use df.duplicated() it returns the following error: TypeError: unhashable type: ‘list’ To resolve this error, I tried the following: However, I receive a new but similar error: “TypeError: unhashable type: ‘dict'” Does anyone know how I can use applymap lambda with two conditions? (the conditions are if isinstance(x,
Sort dict by multiple keys and with int and None data in python
so I have a dict : I want to sort my dict on ‘i.chromosome’, ‘i.linkageGroup’ and ‘i.positionCm’ What I am doing : And i got : In python 2, they were doing : Could you help me please, I am lost ! Answer Given and the requirement that Nones are for int, you can solve it using where I’ve made
Invoke a lambda from VSCode python
could not find any answer on this. All the tutorials mention how to use AWS toolkit or how to locally develop and test your lambda on VSCode. That’s not what I would like, I already have a lambda, and I would just like to invoke it. To call a s3 or Dynamo DB, I can just run What is the
I am getting an error while i am running a function in pandas dataframe.I am getting invalid syntax for the first line of the function
def revised_price(engine-location,price): if engine-location==front: updated_price== price else: updated_price== 2*price return new_profit df[‘updated_price’] = df.apply(lambda x: revised_price(x[‘engine-location’], x[‘price’]),axis=1) Please find the error that i am getting File “”, line 1 def revised_price(engine-location,’price): ^ SyntaxError: invalid syntax Answer You didn’t follow naming convention here You can’t name inside a function like engine-location , instead rename it to engine_location, and also instead of
resolve matrix lists with lambda and map
we have 3 lists in below so , how we can sum all of similar index in lists together? i mean is 2 and 5 and 8 be sum together & 3 and 6 and 9 also be sum together & 4 and 7 and 10 as well ? but just use lambda and map… actually i have no idea
Accessing __doc__ of function inside a lambda
I would like to extract the docstring of a function once it has been wrapped in lambda. Consider the following example: I get: How can I reference the function called on “calling” the lambda one? Update Thanks for all answers: Answer There is no “good” way to do this. However, it is technically possible using the inspect module. Here is
Redefining a function to be a partial of itself — why illegal?
I can see intuitively why this doesn’t work…it’s sort of a circular reference. Specifically what rule in Python is it breaking? Answer In addition to what @U12-Forward posted, the reason you create a circular reference is the late binding of the lambda. By the time it calls f(5) it’s already referring to itself. If your intent is to call your
How to use pandas apply to replace iterrows?
I am calculating the sentiment value on every row in the dataset based on news headline. I used iterrows to achieve this: However, the processing time is taking too long (>30 minutes runtime and it is not done yet). I have 16.6k rows in my dataset. This is a small section of the dataset: I have read that iterrows is