MATLAB Fundamentals＞＞＞Fill Missing Values

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：

% 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。

原文地址：https://blog.csdn.net/syluxhch/article/details/135722047

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