I am trying to parse a user’s event descriptions after obtaining access to their google calendar through the google calendar API. When I input the description into my program, I want to get rid of default (and useless) text such as Zoom meeting invitations. If the following below is the description string How can I parse it so that only
Tag: string
How to split a string in python based on separator with separator as a part of one of the chunks?
Looking for an elegant way to: Split a string based on a separator Instead of discarding separator, making it a part of the splitted chunks. For instance I do have date and time data like: Sometimes there’s D, sometimes not (however I always want it to be a part of first chunk), no trailing or leading zeros for time and
Is there a way to print all substrings of a string in O(n) time?
I have an input abcde. I’m trying to output something like this: I can’t make a code which is without nested loops. My question is what is the solution of this problem with O(n) time complexity? My code is given below: Answer Lets do this without a nested loop! This a game with random library, but the execution time is
How to remove text and remain with interger values in python dataframe column
I have a dataframe with the column as follows; I want the output as follows: I have tried, No success so far. Answer This depends on what possible values can be in the quantity column. If there can never be a space in the numerical part (as in your example) you can use Series.str.partition: This can also be written in
Remove all elements of a string list in python if they contain a given phrase
Have a list called summary containing a corresponding JSON object similar to: Essentially, if “tables_data”: “” is found within the string of a list item, I want the entire list item to be removed. How would I go about doing this? Answer You can do a dictionary-comprehension selecting the dictionary item with ‘tables_data’ has a value not equals ”:
How to decode a video (memory file / byte string) and step through it frame by frame in python?
I am using python to do some basic image processing, and want to extend it to process a video frame by frame. I get the video as a blob from a server – .webm encoded – and have it in python as a byte string (b’x1aExdfxa3xa3Bx86x81x01Bxf7x81x01Bxf2x81x04Bxf3x81x08Bx82x88matroskaBx87x81x04Bx85x81x02x18Sx80gx01xffxffxffxffxffxffxffx15Ixa9fx99*xd7xb1x83x0fB@Mx80x86ChromeWAx86Chromex16Txaekxadxaexabxd7x81x01sxc5x87x04xe8xfcx16t^x8cx83x81x01x86x8fV_MPEG4/ISO/AVCxe0x88xb0x82x02x80xbax82x01xe0x1fCxb6ux01xffxffxffxffxffxff …). I know that there is cv.VideoCapture, which can do almost what I need.
How to remove characters that appear more than once from a string?
So, I had a similar exercise on my IT classes: ‘Print a string without characters appearing more than once (if they appear more than once, remove them)’. I thought that it was easy (and maybe it is), but I have completely no idea how to do that. I can do similar exercises (print all unique characters from a string /
Convert String (with other string in) in Date Object – Python
I’m trying to convert this French string : ’20 avril 2018 – Arrivée définitive’ as a Date Object. I tried : But I have this error : Thank you in advance for your help. I’m hoping that this will help someone. Answer As you can read in documentation The parse function returns datetime representing parsed date if successful, else returns
Counting the number of 1’s that appear in a pandas string
I have a dataset that looks like this: I’d like to count the occurrence of ones for each case, such that the final output is number of 1’s per id. In the final output, id 115 has zero 1’s while id 143 has one. I had an idea of splitting the string into six columns, and then summing that up,
What does = (equal) do in f-strings inside the expression curly brackets?
The usage of {} in Python f-strings is well known to execute pieces of code and give the result in string format (some tutorials here). However, what does the ‘=’ at the end of the expression mean? Answer This is actually a brand-new feature as of Python 3.8. Added an = specifier to f-strings. An f-string such as f'{expr=}’ will