How to replace several values of a column using lists in python

I have a dataframe name “detalhe” with several columns and one is named: “Concelho”. I have a list of unique values of “Concelho” named “Concelho ADENE” and I …

New line character not being replaced even after trying many methods

I cannot get this to replicate outside of this file, since if I try it on a string myself it works, but for some reason not in my dataframe. I just want to get rid of the ‘n’ characters in my strings,…

Python string replace containing “”

I would like to convert a string temp.filename.txt to temp.filename.txt using python Tried string replace method but the output is not as expected filename = “temp.filename.txt” filename….

Import csv: remove filename from column names in first row

I am using Python 3.5. I have several csv files: The csv files are named according to a fixed structure. They have a fixed prefix (always the same) plus a varying filename part: …

Deleting the last character in print statement when using for loop

I have created a list of numbers that are being inserted in a string, in this case it is a json. I am trying to delete the last character of the string after the list goes through and prints the very …

List ‘none’ data type element replacing using another element with time info

I have a list of dates to be used in a time series. And the list looks like as follow: x = [None, None, ‘2019-07-01’, None, ‘2019-09-01’, None] I want to fill up the missing dates with what they were …

How to replace values in a np 2d array based on condition for every row

I have a numpy 2d array (named lda_fit) with probabilities, where I want to replace the probabilities with 0 or 1, based on the max value in each line. So after all the first line should look like [0,1,0,0], the second like [1,0,0,0] and so on. I have tried, and this works, but only for a given threshold (0.5): But as I might not have the largest value being greater than 0.5, I want to specify a new threshold for each line. Unfortunately this gives me the max value of the whole array. Answer You can use np.max with specifying

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 one line: