I have a huge dataset comprising of about 600000000 rows. I need to export all these rows in pipe separated values format, and data should be in multiple files instead of 1 huge file, with each file containing 100000000 rows.
I tried exporting this file with right click --> Export --> Delimited --> Multiple files, but there is no option to specify number of rows in each file, and data is exported in .dsv format not .psv format.
Is there any way to achieve this?
I have a program based on some functionality and the results are displayed on 2 .csv files (file1 and file2)
The files consist of same rows and columns, the columns are named as condition, supply1, supply2
I want to read both the files into the program, load them and then compare the contents of supply1, supply2, based on the condition and number.
We have to compare the respective contents and display the difference of supply1 and suppy2 between those 2 files.
Eg: condition ta and number 1 of the 4th row of file1 has to compare with condition ta and number 1 of the 1st row of file2
Please help me on this.
file 1
file 1 contents
file 2
I have to combine a lot of files , mostly CSV, already have code to combine however I need first to trim the desired csv files so I can get the data that I want. Each CSV has first 2 columns of 8 rows which contain data that I want. and then just below those there is a row that generates 8 columns. I am only having issue grabbing data from the first 8 rows of the 2 columns.
Example of the csv first 3 rows:
Target Name: MIAW
Target OS: Windows
Last Updated On: June 27 2019 07:35:11
This is the data that I want, the first 3 rows are like this, with 2 columns. My idea is to store the 3 values of the 2nd column each into a variable and then use it with the rest of my code.
As I only have a problem extracting the data, and since the way the CSV are formated there is no header at all, it is hard to come up with an easy way to read the 2nd column data. Below is an example, this of course will be used to process several files so it will be a foreach, but I want to come up first with the simple code for 1 file so I can adapt it myself to a foreach.
$a = MIAW-Results-20190627T203644Z.csv
Write-Host "$a[1].col2"
This would work if and only if I had a header called col2, I could name it with the first value on the 2nd column but the issue is that that value will change for CSV file. So the code I tried would not work for example if I were to import several files using:
$InFiles = Get-ChildItem -Path $PSScriptRoot\ *.csv -File |
Where-Object Name -like *results*
Each CSV will have a different value for the first value on the 2nd column.
Is there an easier way to just grab the 3 rows of the second column that I need? I need to grab each one and store each in a different variable.
I have a BIRT report with multiple tables with different datasets and number of columns on it. I generate output in .xls and convert into .csv using ssconvert utility on Unix. But in the .csv file I see extra delimiter for tables where there are fewer columns. For example, here is the .csv output with extra "," in .csv file:
table1-- this has only 10 columns
5912,,,0,,,0,,0,,,0,,,0,,,0,,,
tables2 --this has 20 columns
'12619493',28/03/2018 17:27:40,sdfsdfasd,'61901492478'1.08,,,1.08,sdfs,,dsf,,sdfadfs,'738331',,434,,,,,,,333,
I try to put grid but still I see extra ",". I have opened the .xls file and I see it has same issue. The cells in Excel are merged.
I have a csv file containing 8 lines and 1777 columns.
I need to read all the contents in matlab, excluding the first line and first column. First line and first column contain strings and matlab can't parse them.
Do you have any idea?
data = csvread(filepath);
The code above reads all the contents
As suggested, csvread with a range will read in the numeric data. If you would like to read in the strings as well (which are presumably column headers), you can use readtable:
t = readtable(filepath);
This will create a table with the column headers in your file as variable names of the columns of the table. This way you can keep the strings associated with the data, if need be.