I am trying to append a column to my DataFrame that is based on the values that are referenced by indicated column names. I have the following DataFrame: The values under “Select” are referencing the values that are under the column number that “Select” shows. For example, for row 0, “Select” shows 4, which refers to the value under column
Tag: row
Remove Automatic Page Breaks in Openpyxl
I am using openpyxl in Python to write to a worksheet. I need to add page breaks to specific rows. I am able to successfully add those row breaks using this block of code: However, I cannot seem to get rid of the automatic page breaks that Excel creates, leaving me with a bunch of unnecessary pages on my worksheet.
Function to move specific row to top or bottom of pandas dataframe
I have two functions which shift a row of a pandas dataframe to the top or bottom, respectively. After applying them more then once to a dataframe, they seem to work incorrectly. These are the 2 functions to move the row to top / bottom: Note: I don’t want to reset_index for the returned df. Example: This is my dataframe:
I need to add specific rows in pandas DataFrame, at specific position
I’m currently working on a project and I need to add specific rows whenever the tagged sentence ends. Whenever the ‘N’ column equals 1 it means that a new sentence started. I want to add two rows for each sentence: a row with ‘Pos’= START at the beginning of the sentence, and a row with ‘Pos’=End at the end of
how to Read a row starting with a specific integer in text file python?
My problem is that I need to read and print a specific line starting with a specific integer(input by user) from text file. This is my text file information: 1 , ‘USA’ , 7244184 , 53629 , 208440 , 895 2 , ‘Mexico’ , 715457 , 5408 , 75439 , 490 3 , ‘Ireland’ , 33995 , 319 , 1797
Pandas string concatenation of row values of a column that have an implicit hierarchy
I have a dataframe signifying the temperature for three days for different regions in India. It’s given in the following image. original_dataframe I need to generate another column in the same dataframe that concatenates the string values of the state and the city which is seen in ‘Col5’ as per the below image. output_dataframe I’m aware of merging the values
How to delete rows from a CSV file when I just know the row number?
I am a beginner and currently writing a code in python where if the CSV’s length gets more than a given number, the first row will be deleted, making space for more. Is there a function that can delete rows in a CSV just by row number? Answer There is no special function for that since that can be done
Replacing Header with Top Row
I currently have a dataframe that looks like this: I’m looking for a way to delete the header row and make the first row the new header row, so the new dataframe would look like this: I’ve tried stuff along the lines of if ‘Unnamed’ in df.columns: then make the dataframe without the header but I don’t seem to be
Pandas dataframe get first row of each group
I have a pandas DataFrame like following: I want to group this by [“id”,”value”] and get the first row of each group: Expected outcome: I tried following, which only gives the first row of the DataFrame. Any help regarding this is appreciated. Answer If you need id as column: To get n first records, you can use head():