I have been trying to create a website divided into 3 Columns of unequal length, being more specific two of 15% in the sides, and one of 70% in the centre. However I am not being able to manage that the 3 columns take 100% width of the space of my wesbite. Here’s my code:… Read More How to divide a website into three unequal length columns
I have a pandas dataframe and a function that returns a dictionary. I want to assign the result of the function to multiple columns. But the problem is, the function returns a dictionary that I want to save only the values to columns. I can do this by sending only the values from the function.… Read More How to assign multiple column in one go with dictionary values?
Following are the standard values for score and grades. Grade Grade1 Grade2 Grade3 Grade4 B1 A1 IA1 D1 ID1 B2 A2 IA2 D2 ID2 B3 A3 IA3 D3 ID3 B4 A4 IA4 D4 ID4 B5 A5 IA5 D5 ID5 Input :- Grade Grade1 Grade2 Grade3 Grade4 B5 A1 IA4 D3 ID2 Output:- Tiers Grade Grade1… Read More Convert dataframe to 5*5 grid of choice
Name Date A 1990-10-7 B 1997-11-20 and i want to add column age the convert the date to the age i try this data$age <- age_calc(as.Date(data$dob, "%Y/%m/%d"), units = "years") but i got this error Error in if (any(enddate < dob)) { : missing value where TRUE/FALSE needed >Solution : The error is in the… Read More add column age from column birthdate in R
I need to find all occurrences of duplicate records in a PySpark DataFrame. Following is the sample dataset: # Prepare Data data = [("A", "A", 1), \ ("A", "A", 2), \ ("A", "A", 3), \ ("A", "B", 4), \ ("A", "B", 5), \ ("A", "C", 6), \ ("A", "D", 7), \ ("A", "E", 8), \… Read More How to get all occurrences of duplicate records in a PySpark DataFrame based on specific columns?
I have a dataframe in R with lots of columns and lots of rows with numeric values. I have multiple colums with the same name (e.g. A, A, B, B, C, C…) that should be combined into a single colum with the maximum of the rows (A,B,C) So this A A B B C C… Read More How to take the row-wise maximum of columns with the same name
This might be related to pivoting, but I am not sure. Basically, what I want to achieve is the following binary transformation: +—————–+ | C1 | C2 | +——–|——–+ | A | xxx | | B | yyy | | A | yyy | | B | www | | B | xxx | |… Read More How to map one column to multiple binary columns in Spark?
I have this dataframe (with the same values for each column to facilitate the example) df = data.frame(x1 = c(1,2,3,4,5), x2 = c(1,2,3,4,5), x3 = c(1,2,3,4,5), x4 = c(1,2,3,4,5), x5 = c(1,2,3,4,5), x6 = c(1,2,3,4,5), x7 = c(1,2,3,4,5), x8 = c(1,2,3,4,5)) I want to put x7 and x8 at the place of x2 and x3… Read More deleting and ordering columns in a big dataframe
I have this dataframe (but let’s imagine it with many columns/variables) df = data.frame(x = c(0,0,0,1,0), y = c(1,1,1,0,0), z = c(1,1,0,0,1)) I want to subset this dataset based on the condition that (x=1) and (y=0 or z = 0 or etc..) I am already familiar with the basic function that works for small datasets,… Read More How to subset a large dataframe using many conditions for many variables in a simple way?
I have this dataframe df = data.frame(x = 1:5, y = 6:10, z = 11:15, o = 16:20, m = 21:25) And I want to change the position of columns in a simple way as follows : 1st column : m 2st column : z 3st column : o 4st column : x 5st column… Read More How to control the position of columns in a dataframe?