I am trying to replace all the values in a column which starts with “barcode”. However for now, I am able to replace all the values based on the name of the values. Currently, it only replaces if it finds the exact value inside the column which is “barcode recognition error”. I want to find the values that starts with
Tag: replace
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: My original csv files look like this: I am manipulating these files using the following code (I am reading the csv files from a source folder and
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 last element. I need to remove the last character which is a comma “,” in my string, only after
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: I want to fill up the missing dates with what they were actually supposed to be. For example, here in the list x, x[2] = ‘2019-07-01’ that represents the month of July, and the previous two elements are type None,
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
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
How to remove commas from ALL the column in pandas at once
I have a data frame where all the columns are supposed to be numbers. While reading it, some of them were read with commas. I know a single column can be fixed by However, this works only for series objects and not for entire data frame. Is there an elegant way to apply it to entire data frame since every
finding and replacing elements in a multidimensional list (python)
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:
python re.sub newline multiline dotall
I have this CSV with the next lines written on it (please note the newline /n): I am trying to delete all that commas and putting the address one row up. Thus, on Python I am using this: As far as I know, re.multiline and re.dotall are necessary to fulfill /n needs. I am using re.compile because it is the
How to replace negative numbers in Pandas Data Frame by zero
I would like to know if there is someway of replacing all DataFrame negative numbers by zeros? Answer If all your columns are numeric, you can use boolean indexing: For the more general case, this answer shows the private method _get_numeric_data: With timedelta type, boolean indexing seems to work on separate columns, but not on the whole dataframe. So you