I have a large CSV file where each line consists (id, description) in a Text format. I wanted to convert each line to a vector using "seq2sparse" and then later run "rowsimilarity" to generate a textual similarity result.
Problem is i need to convert the CSV file to SEQ somehow to work with "seq2sparse", and existing method "seqdirectory" takes a directory of text files rather than a CSV file. Anyway to accomplish this?
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I have a CSV file and I want to extract the element in the first row and 3rd column. How might I go about doing this?
I would load the CSV in a matrix and then take the relevant row/column; of course, you could ignore the non-relevant element while loading the CSV. How to do the aforementioned has already been answered e.g.
How can I read and parse CSV files in C++?
I am trying to parse the XML file and write to DataFrame result to CSV file.
My problem is some of characters are not supported when i write the output to the CSV. For eg, there is a field Nectarine tree named ‘Polar Zee’ its writes like Nectarine tree named ‘Polar Zee’.
Is there any settings need to be change? or any properties need to be added?
I am trying to read a csv file in octave. The file contains a table with both numeric and text data. It also contains information of date and hour. In addition, the first line is in a different format then the rest of the lines since it contains titles.
The csvread can only read numeric data (according to Octave help), so I tried using xlsread as follows:
[NUMARR, TXTARR, RAWARR, LIMITS] = xlsread ('Line.csv')
I get only a matrix of NUMARR with numeric values. However, all other returned variables are empty- their dimension is 0x0.
How do I get all the text and all other information?
TX!
To solve this issue, open your CSV file in Windows notepad and save it as ANSI format instead of UNICODE.
I am trying to import in Octave a file (i.e. data.txt) containing 2 columns of integers, such as:
101448,1077
96906,924
105704,1017
I use the following command:
data = load('data.txt')
However, the "data" matrix that results has a 1 x 1 dimension, with all the content of the data.txt file saved in just one cell. If I adjust the numbers to look like floats:
101448.0,1077.0
96906.0,924.0
105704.0,1017.0
the loading works as expected, and I obtain a matrix with 3 rows and 2 columns.
I looked at the various options that can be set for the load command but none of them seem to help. The data file has no headers, just plain integers, comma separated.
Any suggestions on how to load this type of data? How can I force Octave to cast the data as numeric?
The load function is not to read csv files. It is meant to load files saved from Octave itself which define variables.
To read a csv file use csvread ("data.txt"). Also, 3.2.4 is a very old version no longer supported, you should upgrade.
I want to implement hadoop mapreduce, and I use the csv file for it's input. So, I want to ask, is there any method that hadoop provide for use to get the value of csv file, or we just do it with Java Split String function?
Thanks all.....
By default Hadoop uses a Text Input reader that feeds the mapper line by line from the input file. The key in the mapper is the number of lines read. Be careful with CSV files though, as single columns/fields can contain a line break. You might want to look for a CSV input reader like this one:
https://github.com/mvallebr/CSVInputFormat/blob/master/src/main/java/org/apache/hadoop/mapreduce/lib/input/CSVNLineInputFormat.java
But, you have to split your line in your code.