If you want to plot a function curve with multiple parameters with errors, one way to visualize the error is to use a band plot.

如果您想繪制帶有誤差的多參數(shù)函數(shù)曲線，一種可視化誤差的方式是使用帶狀圖。

A band plot is similar to a line plot, but instead of a single line, it shows a shaded band around the line to represent the uncertainty in the function due to the uncertainties in the parameters. The band is usually defined by plotting the function at a range of parameter values that span the range of their uncertainties.

帶狀圖類似于線圖，但不同的是，它不是顯示單條線，而是在線周圍顯示著色帶，以表示由于參數(shù)的不確定性而導(dǎo)致的函數(shù)不確定性。該帶通常由在參數(shù)值范圍內(nèi)繪制函數(shù)而定義，這些參數(shù)值跨越其不確定性范圍。

Here is an example using matplotlib:

This will produce a plot with the function curve and a shaded band representing the error due to the uncertainties in the parameters. The size of the band reflects the size of the uncertainties.

這將生成一個(gè)包含函數(shù)曲線和代表參數(shù)不確定性誤差的帶狀區(qū)域的圖表。帶狀區(qū)域的大小反映了不確定性的大小。

原作者：本人

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原文鏈接：https://blog.csdn.net/weixin_42803383/article/details/129891968