I have a CSV file in the following structure :
*name of the file*
*date & location*
header1 header2 header3
data1, data2, data3
I have a csv input step which reads the contents of the file. How can I skip the first two files in the file to read the header from line 3? The CSV input step doesn't seem to have an option for this.
Any help is appreciated!
May be this solution could help someone else. To skip the rows from csv file you have to read the file using "Text file input" step and consider all your columns as one,
use a separator which is not avaiable in your data and then fileds will not split. Then assign row numbers using "Add Sequence" step. after that you can use "Filter" step to skip the starting rows. Once you have removed top rows then split the fields using "Split fileds" step and give column names.this image contains transformation snap
Related
I have a situation where I want to transform a text file which has tab spaced fields like in the 'space-separated.png' below.
I want to transform this file by replacing tabs with pipes(|) like the 'pipe-separated.png' file below.
How can I do this in pentaho?
space-separated.png
pipe-separated.png
It can be achieved by a transformation with two steps.
Text file input (specify TAB as the separator in the content tab)
Text file output (specify | as the separator in the content tab)
Remember to click on 'Get Fields' option in both the steps. Not clicking on 'Get Fields' is what took me time.
If you don't want for any reason load as TEXT FILE OUTPUT step, you also can read the file text, without delimeter, so entire data will be in a row, use REPLACE IN STRING step, REGEX YES and search \t, replace for |. thats all.
all data in a field:
data view
Replace in string step:
Configuration
Preview result:
result with pipe
I am reading from a .txt file into a dataframe using pandas read_csv(). The data is in this form in the txt file (this is a sample):
abcd,efgh,ijklm
qwerty,uoipqwrt
mznxlakspqowieu
As you can see there are different number of commas in each line. But ultimately I want to put each line of the text file in a single column. How can this be achieved?
I have a CSV file and I want to add the values to a variables. I write the variables in the "Variable Name" separated with commas, like: "a,b,c,d,e,f,g,h",
In the CSV file I have 5 words in the first line and in the Debug Sampler I get the following.
a=word one, b=word two, c= word three, d= word four, e=word five,
and I have no f,g,h variables.
How could It go to the next line?
Thank you for your help. :)
Please increase the Number of Threads(users) count to 2 to go in next line, This field can be found in thread group settings.
i.e
Increasing the thread count will execute again and in second run it will pick next line
I am using the attached Code Here and at the moment the code that I have copies all the columns to the txt file.
I have 2 columns and the column "B" needs to be copied to txt file.
In Your Code You Use
For P=1 to Lastcolumn
wsData=ActiveSheet.Cells(1,P).value
Next
I Think This Is your Problem. You Split All the cell Values and then Write it into the txt file . You just wonna try to mention that Particular row count and you will get Solution.
I have a file names.txt with this data:
NAME;AGE;
alberto;22
andrea;51
ana;16
and I want to add a new column N with the line number of the row:
N;NAME;AGE;
1;alberto;22
2;andrea;51
3;ana;16
I've been looking and what I found was something related with Add sequence. I tried but I don't know how.
Thank you very much.
The Add Sequence step will get the job done, but you don't even need that. Both the CSV file input and Text file input steps can add a row number to the input rows. For the 'CSV file input' step it's called 'The row number field name (optional)'.
For Text file input, check the 'Rownum in output?' box on the Content tab and fill in the 'Rownum fieldname' text box.
I'm really baffled why you couldn't figure out the Add sequence step. It should work with no changes at all. Just drop it in and connect the output of the csv file to it and the sequence should appear as a field name called 'valuename'. I would change that personally, but still, it should work.