All Questions
4,941
questions
0
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answers
19
views
Read Large JSON File and Flatten Lambda
I have a lambda function that reads in a json file and flattens it so that I can convert it to parquet and it'll be easier to read the data. The issue I'm having is that some of the files are too ...
- 67
0
votes
0
answers
14
views
AWS Lambda python log file is not created
I have a Python AWS lambda with a logger that generates two different log files:
LOG = f"/tmp/{uuid.uuid1()}_log.log"
SLOW_LOG = f"/tmp/{uuid.uuid1()}_slow.log"
logging....
- 616
-5
votes
0
answers
63
views
I am trying to understand lambda.... why can I not print a list directly when it has been populated by lambda? [closed]
The following is the code I found in a learning website.
callables = []
for i in (1, 2, 3):
callables.append(lambda a=i: a)
for f in callables:
print(f())
Why can we not print the callables ...
0
votes
2
answers
47
views
Transformations on Multiple Columns in Pandas Dataframe
Using the pandas framework in Python, I need to apply a transformation on 4 columns (Col1, Col2, Col3, Col4 in example Code) in a table.
The Transformation is quite simple:
Extract a Unix Timestamp
...
- 153
0
votes
2
answers
76
views
What does "lambda x: x-0 and x-1" mean? [duplicate]
What does the expression do?
my_tuple = (0, 1, 2, 3, 4, 5)
foo = list(filter(lambda x: x-0 and x-1, my_tuple))
print(foo)
What output is to be expected from above equation?
- 11
0
votes
0
answers
31
views
How can I sort a dictionary with in the dictionary by the keys of the second dictionary in python? [duplicate]
I have a dictionary as follows:
dict_1 ={'Spain':{'wins':1,'loses':0,'draws':2,'goal_difference':2, 'points':3},'Portugal':{'wins':3,'loses:1,'draws':1,'goal_difference':0,'points':4},'Morocco':{'wins'...
0
votes
1
answer
48
views
Why does Lambda work differently in VSCode and Jupyter Notebook? (python3)
Why doesn't python Lambda work in VSCode? How is VSCode different from Jupyter Notebook?
from Effective Computation in Physics book there is this Lambda example:
(lambda x, y=10: 2*x + y)(42)
...
0
votes
0
answers
14
views
Attempting to use locally cloned version of Python package in Docker throws metadata error
I am testing an experimental library version and must run it in a docker container locally rather than as a pip install.
As a result, I copy all of the files from the locally cloned library into the ...
- 113
2
votes
1
answer
36
views
Python Split and assign into new Columns
I have been worked in a dataframe with one column which has data for different calls to APIs.
I need to split by "," and add new columns depends of the method's name (each API contains ...
- 25
0
votes
1
answer
80
views
Use of lambda to perform basic multiplication
I am trying to do basic multiplication within all the individual elements of this list, but where am I going wrong with using lambda expression here?
inputData = [[2, 3], ["4", 7], [6, 4], [...
- 89
0
votes
1
answer
55
views
'Mul' object is not callable when iterating a function
I have this code, I am trying to get the fixed points from a function in each iteration from 1 to n:
import sympy as sp
def logistica():
return lambda r,x : r * x * (1 - x)
def ...
1
vote
1
answer
37
views
sorting a list of tuples using lambda, python [duplicate]
I have a list of tuples that contains (name, score).
I want to sort the list on the second element (reverse = True) and if two names are similar then sort it on first element but not using reverse.
I ...
- 11
1
vote
1
answer
31
views
Analyse historical data: average of every hour of every day over a number of years
I have historical data from 2012 to 2023. I am trying to calculate the average for every hour in every day over these years to build a 'reference year' or 'baseline'. My DataFrame (final_df) looks ...
- 27
0
votes
1
answer
53
views
Iteratively source a value from a dictionary
I have a data set where I know a limited number of values and based on other values in a data set I can figure out what the subsequent values are. I could do this with a huge if function, but I know ...
- 587
1
vote
1
answer
46
views
Python pandas dataframe using apply to call function with list output
I am trying to apply a function to each element of a column of a pandas data frame. This function should return a list of strings. I would like to have each string in the list become its own column. ...
- 37