Hello.. I have a csv data file with 6columns. First column is string type and others are numeric. I don't know why I cant read data with 'csvread'. I saved csv file as xls then used xlsread. It can read my data but it's not reading 1st column may be because its a string. 1st column is like yyyy-mm-ddThh:mm:ss Is there any way to read 1st column and then split it into two columns, one for date and other for time? how to read this data using csvread as I don want to convert it to xls. Thanks

1 Kommentar

Sai Ramya
Sai Ramya am 5 Feb. 2018
Bearbeitet: Sai Ramya am 5 Feb. 2018
Don't mention any reading format like 'rb' ....it will read string type....use names= column names while creating a Excel sheet...

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KSSV
KSSV am 1 Aug. 2017

0 Stimmen

Use xlsread. Read about it.

3 Kommentare

Kavita Navria
Kavita Navria am 1 Aug. 2017
Sir, I am using xlsread but its skipping 1st column. and I don't want to use xlsread if its possible with csvread.
[num,txt,raw] = xlsread('myfile')
This read entire data.....
Kavita Navria
Kavita Navria am 1 Aug. 2017
Thank you sir..This is reading my data. num= N x 6 (type double, skipped 1st column), raw= N x 7(type cell, all columns), txt= N x 7(type cell, 1st column is complete while for others its just showing column headings ) How may I split date and time from 'cell' type. I am using R2013a. I tried using strsplit but its not supporting cell2str, cell2table.

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Weitere Antworten (2)

Guillaume
Guillaume am 1 Aug. 2017
Bearbeitet: Guillaume am 1 Aug. 2017

7 Stimmen

Even simpler than xlsread is to use readtable which should be able to figure out the file format on its own.
data = readtable('yourfile.csv');
In particular, readtable should automatically detect that the first column is a datetime and decode it properly. If not it's trivial to convert it:
data(:, 1) = datetime(data(:, 1), 'InputFormat', 'yyyy-MM-ddTHH:mm:ss'); %or similar

1 Kommentar

Guodong Cui
Guodong Cui am 17 Aug. 2018
readable is simple & useful! It works for me. Thank you!

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Md Khaled Ben Islam
Md Khaled Ben Islam am 15 Apr. 2018

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For dealing with tabular CSV formatted data, readtable seems more flexible than xlsread.

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CHIA HUNG MOU
CHIA HUNG MOU am 31 Dez. 2023
Bearbeitet: CHIA HUNG MOU am 31 Dez. 2023
Yes. readtable is good. For your reference:
% data: https://chris.userweb.mwn.de/book/pizza_delivery.csv
fn = fullfile('pizza_delivery.csv');
data = readtable(fn);
% time
y = cell2mat(table2cell(data(:, 3)));
% interception
x1 = ones(1, size(y,1));
% binary variable (so called dummy variable)
x2 = zeros(1, size(y,1));
x2_ = (table2cell(data(:, 4)));

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