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Pandas grouping by week
I have a data frame in pandas like this: I need to get the count of items by week. Example: From 9/6 to 9/13, the output should be: Similarly, I need to find the count on these intervals: 9/13 to 9/20, 9/20 to 9/27, and 9/27 to 10/4. Thank you! Answer May be with the caveat of the definition of
Look for complement of unicode range in python
I have a set of words and I want to find those who contain non italian characters. Instead of providing all the possible unicode ranges of letters not belonging to the italian alphabet, I think it would be much better to specify the ranges of the allowed letters and then check if a string contains any character not belonging to
python read a specific json
I’m trying to read this json. I need values: PoolID, PoolSystemCapacityGb2,NumPagesUsedPool, and others.. But i can only read values for the ‘PooID’:1, not for the PooID’:90 How can i parse this kind of json? My code: thanks for help. Answer If you need to get all objects from JSON with some specific key, you will need to traverse all elements.
List comprehension with multiple conditions on different columns
I have the following df, & would like to get the total number of Male who either Agree or Disagree. I expect the answer to be 3 but instead get 9. I have done this through other methods and I’m trying to understand list comprehension better. Answer Let’s unpack this a bit. The original statement is equivalent to I think
How to remove all pixels that aren’t connected to at least 10 another pixels in python [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed last year. Improve this question Is there a way to remove all pixels that aren’t connected to at least 10 other pixels? I want this to
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Why this for doesnt fill the empty array? I get the msg NameError: name ‘arrayFinal’ is not defined def sortedSquaredArray(array): arrayFinal =[] for i in range (len(array)): squared = array[i]*…
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I have a list of edges (E) of a graph with nodes V = [1,2,3,4,5,6]: where each tuple (a,b) refers to the start & end node of the edge respectively. If I know the edges form a closed path in graph G, can I recover the path? Note that E is not the set of all edges of the graph.
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To test a man-in-the-middle tcp proxy I have coded an echo tcp server and a tcp client. After each one of the tests I want the proxy and the server to go down, to make sure each test starts on a clean environment, so I have coded: Now, the problem is: unless I add in the method tearDown the last