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comma seperation for each cell of dataframe pandas

If there are any cells with a comma (if condition), I would like to separate them out and pick the last one, something like: The original table is like here below: index x1 x2 0 banana orange 1 grapes, Citrus apples 2 tangerine, tangerine melons, pears which is going to be changed to like below: index x1 x2 0…

find days between 2 dates in python but only number

I was trying to find difference of a series of dates and a date. for example, the series is from may1 to june1 which is the only thing i could get is this. I don’t want anything other than the number 1-10 cuz i need them for further numerical calculation but i can’t get rid of those. Also how coul…

how to perform string formatting inside a dictionary?

lets say i have a payload which i am using to hit my API but i wanted to make its pg_no value as dynamic using for loop i.e. getting this error Answer first in your dictionary you are using same key from_data which is gonna be only last one present there. second main problem is causing by { bracket format

how to remove the above elements from list from matrix by python [closed]

Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 1 year ago. Improve this question how to remove the above elements from listA from matrixA Desired output: sorry for my bad lan…

How to round up/down an int in Python?

Let’s say I have an arbitrary integer 874,623,123 how do I round it down to 800,000,000 and up to 900,000,000? Another example is 759 round up to 800 or down to 700. The size of the integer is unknown. Is there a built-in method to do it? If not, what’s the best way to work it out? Sorry not a

Filter expected value from list in df column

I have a data frame with the following column: I want to return a column with single value based on a conditional statement. I wrote the following function: When running the function on the column df.withColumn(“col”, filter_func(“raw_col”)) I have the following error col should be Col…