I’m writing a script that combine csv into one and then do a find an replace for specific formatting and ask the user to correct the ones that not match. The output is not on the right csv format It should be Answer This problems has a number of different parts, and you’ve made a good attempt :) I recommend
I’ve made this code but it is not acting how I was expecting: Basically I read a .pcap file which can be full of information or empty and I’m looking for a word inside each raw. If it is found I start some operation on this string in order to reach a desidered position inside the string. I noticed that
I have this data frame with this kind of column: I need to clean this up and leave from “DCG_” up to where “</div>” begins: Most of the cells in this column vary where the “DCG_” is located as well as the “</div>”, I’m trying to use the following code line for this: but it just returns all null Answer
Hello I am trying to find the number of rows for all files within a folder. I am trying to do this for a folder that contains only “.txt” files and for a folder that contains .”csv”…
Similar to this question: finding and replacing elements in a list (python) but with a multi-dimensional array. For example, I want to replace all the N’s with 0’s: I want to change it to: Answer You can use a nested list comprehension: Output:
I know about islower and isupper, but can you check whether or not that character is a letter? For Example: Is there any way to just ask if it is a character besides doing .islower() or .isupper()? AdvertisementAnswer You can use str.isalpha(). For example: Output:
I have the following dictionary in python: I need a way to find if a value such as “one” or “two” exists in this dictionary. For example, if I wanted to know if the index “1” existed I would simply have to type: And then python would tell me if that is true or false, however I need to do
I have an array and I want to find the indices of the element s that meet two conditions i.e. I can use numpy.nonzero(a>3) or numpy.nonzero(a<8) but not numpy.nonzero(a>3 and a<8) which gives the error: When I try to use any or all I get the same error. Is it possible to combine two conditional tests to get the ans?