Read.CSV Row.Names

Specifying row names when reading in a file

If you used read.table() (or one of it's ilk, e.g. read.csv()) then the easy fix is to change the call to:

read.table(file = "foo.txt", row.names = 1, ....)

where .... are the other arguments you needed/used. The row.names argument takes the column number of the data file from which to take the row names. It need not be the first column. See ?read.table for details/info.

If you already have the data in R and can't be bothered to re-read it, or it came from another route, just set the rownames attribute and remove the first variable from the object (assuming obj is your object)

rownames(obj) <- obj[, 1]  ## set rownames
obj <- obj[, -1]           ## remove the first variable

How to read a CSV file with row.names = 1?

The only way that I've found to do this is:

data <- read.csv("C:/example.csv")
rownames(data)=data[,1]
data=data[,-1]

Give column name when read csv file pandas

I'd do it like this:

colnames=['TIME', 'X', 'Y', 'Z'] 
user1 = pd.read_csv('dataset/1.csv', names=colnames, header=None)

read.csv row.names

read.csv only assumes there are any row names if there are less values in the header than in the other rows. So somehow you are either missing a column name or have an extra column you don't want.

R: Read csv with row and column name

Try read.csv("filename.csv", row.names = 1, header= TRUE).

How can I read in row names as they were originally, using pandas.read_csv( )?

Use index_col=0 parameter for first column to index:

url = "https://raw.githubusercontent.com/PawinData/UC/master/DistanceMatrix_shortestnetworks.csv"
DATA = pd.read_csv(url, index_col=0)

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print (DATA.head())
             Imperial  Kern  Los Angeles  Orange  Riverside  San Bernardino  \
Imperial            0     3            3       2          1               2   
Kern                3     0            1       2          2               1   
Los Angeles         3     1            0       1          2               1   
Orange              2     2            1       0          1               1   
Riverside           1     2            2       1          0               1   

             San Diego  San Luis Obispo  Santa Barbara  Ventura  
Imperial             1                4              4        4  
Kern                 3                1              1        1  
Los Angeles          2                2              2        1  
Orange               1                3              3        2  
Riverside            1                3              3        3  

reading a csv file with repeated row names in R

the function is seeing duplicate row names, so you need to deal with that. Probably the easiest way is with row.names=NULL, which will force row numbering--in other words, it treats your first column as the first dimension and not as the row numbers, and so adds row numbers (consecutive integers starting with "1".

read.csv("S1N657.csv", header=T,fill=T, col.names=c("dam","anim","temp"), row.names=NULL)

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