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I am trying to add blank rows on top of the pandas Dataframe data.
Basically, some blank rows and some calculation for each row which contains calculations for Average etc. for that column. Can someone please help me how I can do this?
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I have a dataframe with numeric entries like this one
test <- data.frame(x=c(26,21,20),y=c(34,29,28))
How can I get the following vector?
> 26,34,21,29,20,28
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I'm trying to write from a loop to a data frame in R, for example a loop like this
for (i in 1:20) {
print(c(i+i,i*i,i/1))}
and to write each line of 3 values to a data frame with three columns, so that each iteration takes on a new row. I've tried using matrix, with ncol=3 and filled by rows,…
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hi there
I have a big dataframe with columns such as:
ID, time, OS, IP
Each row of that dataframe corresponds to one entry. Within that dataframe for some IDs serveral entries (rows) exist.
I would like to get rid of those multiple rows (obviously the other attributes will differ for the same ID)…
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I have a dataframe which contains (among other things) a numeric column with a concentration, and a factor column with a status flag. This status flag contains NA's.
Here's an example
df<-structure(list(conc = c(101.769, 1.734, 62.944, 92.697, 25.091, 27.377, 24.343, 55.084, 0.335, 23.280),…
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