MATLAB Fundamentals>Preprocessing Data>Interpolating Missing Data> (1/4) Fill Missing Values
This code sets up the activity.
x = [0 NaN 7 8 NaN 2 -3 NaN -8]
plot(x,"s-","LineWidth",1.5)任务1：
Create a vector y that uses the nearest value to interpolate the NaN values of x.
Display the results by making sure Cleaned data and Fill missing entries are checked.
解答：文章来源：https://www.toymoban.com/news/detail-810969.html
% Fill missing data
[y,missingIndices] = fillmissing(x,"nearest");
% Display results
figure
% Plot cleaned data
plot(y,"SeriesIndex",1,"LineWidth",1.5,"DisplayName","Cleaned data")
hold on
% Plot filled missing entries
plot(find(missingIndices),y(missingIndices),".","MarkerSize",12, ...
"SeriesIndex",2,"DisplayName","Filled missing entries")
title("Number of filled missing entries: " + nnz(missingIndices))
hold off
legend
clear missingIndices任务2：
Look at the generated code. Copy and adapt it to create a vector z that uses "linear" interpolation to replace the NaN values of x.
解答：
% Fill missing data
[z,missingIndices] = fillmissing(x,"linear");任务3：
Plot z with "*" markers and a solid line. Add this plot to the existing figure.
解答：
hold on
plot(z,"*-")
hold off笔记：注意示例中画图的方法。文章来源地址https://www.toymoban.com/news/detail-810969.html
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