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.
Related
I have a polars dataframe with a number in a string datatype;
On exporting it to csv using write_csv method it ignores the leading zeros and the output it-
How to retain the zeros on exporting the files to csv?
Excel literally assumes numbers seeing those strings and promptly eliminates leading zeros (numbers are right-adjusted in Excel). Instead of saving the file with .csv extension pick .txt and open it in Excel. You should then be presented with the option (import dialogue) of choosing the column format, so pick "Text" and voilá.
I have got a very large table with around 28 columns and 900k records.
I converted it to CSV file (Pipe separated) and then tried to use that file for feeding another table using ADF itself.
When I tried to use that file, it keeps triggering an error saying some column datatype mismatch.
So excavating more into the data I have found few rows having Pipe (|) symbol in their text itself. So at the time coverting it back, the text after the pipe been considered for the next column and thus the error.
So how to handle the conversion into CSV efficiently when there are texts with delimiters in their columns.
Option1: If there is a possibility, I would suggest changing the delimiter to other than pipe(|), as the column value also contains pipe in its text.
Option2: In the CSV dataset, select a Quote character to identify the columns.
Step1: Copying data from table1 to CSV.
Source:
Sink CSV dataset:
Output:
Step2: Loading same CSV data to table2 with a copy activity.
CSV output file of Step1.
Source CSV dataset:
Sink dataset:
Output:
I have thousands of csv files and they basically have 2 formats. One type of 2 formats is that in those csv files there are 100 rows and 2 columns. The other type of csv files has 50 columns and 5 rows. The numbers are given just to provide an example.
What I want to do is to write a Matlab code that will extract the complete second row of the csv files with the first format and make it the first row of the csv files with the second format. The number of the csv files with the first and second format is equal.
Any help is appreciated.
I have a .csv file that has numbers as column names. I want to import that file to a table in PostgreSQL, but it gives an error.
I have 1024 columns so I can't manually change it in my file. Is there a way around that?
This is the Excel file that I got:
If you want a table with 1024 columns you are doing something wrong.
You should choose a different data model.
But it is possible to use numbers as column names, as long as you surround them with double quotes.
Unfortunately I've got some huge number of csv files with missing separator as following. Notice the second data got only 1 separator with 2 values. Currently I'm getting "delimiter not found error".
Only if I could insert NULL to 3rd column in case there is only two values.
1,avc,99
2,xyz
3,timmy,6
Is there anyway I can COPY this files into Redshift without modifying CSV files?
Use the FILLRECORD parameter to load NULLs for blank columns
You can check the docs for more details