Building datastore on dataset with missing values

6 次查看（过去 30 天）
Mohsen Vahidzadeh
Mohsen Vahidzadeh 2018-3-29
回答： Jayanti 2025-3-18
When I use readtable on my dataset that has NAN values, the readtable command converts the missing values to numeric NANs. So that works fine, but when I build a datastore on my dataset to use tall arrays, then I get the error from MATLAB that the missing values are not numerics. How can I fix that?
Thanks

请先登录，再回答此问题。

回答（1 个）

Jayanti
Jayanti 2025-3-18
Hi Mohsen,
When creating a datastore, you can handle missing values by using the "TreatAsMissing" and "MissingValue" name-value arguments. To replace every instance of "NA" with a 0 in the imported data specify the value of "TreatAsMissing" as "NA" and the value of "MissingValue" as 0.
The following line of code demonstrates this:
ds = datastore("airlinesmall.csv","TreatAsMissing","NA",...
"MissingValue",0);
You can also refer the following documentation link:
https://www.mathworks.com/help/matlab/ref/datastore.html#:~:text=example-,Examples,-collapse%20all

类别

在 Help Center 和 File Exchange 中查找有关 Large Files and Big Data 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by