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Now if you have worked with observations, such as

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weather observations, for example, temperatures,

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you might have noticed that you have these kinds

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of values sometimes in those data, which means

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there was no value, no valid value detected for

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that observation. And organizations use that

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spatial value to mean no data. So if we wanted to

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use a list comprehension, where we divide by 10,

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all these values, we want to be careful not to

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divide this value by 10, we want to ignore that.

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For that we need an if conditional inside the list

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comprehension, we can do it like that. So create a

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new variable where you will store the new list.

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And again, let's say temp divided by 10 for  10 in

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temps if temp is different, for example, then

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-9999, print(new_temps), execute on the

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terminal, and we get the expected result. So this

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is just like the simple loop that we saw in the

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previous video with the addition of the if

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conditional, so that is a conditional. We are

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checking if temp is different than -9999.

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[Outro sound]