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Python 3, an Illustrated Tour Transcripts

Chapter: Numbers

Lecture: Walk-through: Statistics

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In this video we're going to look at stat test.

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So open that up in your editor.

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It looks like there's one function in here., let's run it.

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I'm just going to right click here and say run

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and I get a name error on line 13.

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Okay, let's read what the test says to do

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and see if we can make it so we don't get a name error, so we get a pass here.

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It says calculate the mean, variance and standard deviation of the data array,

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store the results in m, v and s.

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So this wants us to use the statistics library.

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So from statistics, import and we can say

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we're going to import the mean and the variance

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and if we want to put this on another line, we could say stdev.

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So again, we put parentheses here

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if we want to have our imports go across multiple lines.

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So here's data, we want to get the mean of it

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m is equal to the mean of the data,

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v is the variance, v equals variance of data.

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and s equals standard deviation of data, looks good.

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Let's run itâ€” bingo, we're good.

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So this is a library that's built into Python

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and it's good for doing basic statistics.

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So rather than writing your own, take advantage of this because it's there.