Python 3, an Illustrated Tour Transcripts
Chapter: Numbers
Lecture: Walk-through: Statistics
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0:00
In this video we're going to look at stat test. So open that up in your editor. 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 and I get a name error on line 13. 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, store the results in m, v and s.
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So this wants us to use the statistics library. So from statistics, import and we can say 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. So again, we put parentheses here
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if we want to have our imports go across multiple lines. So here's data, we want to get the mean of it m is equal to the mean of the data,
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v is the variance, v equals variance of data. and s equals standard deviation of data, looks good. Let's run it— bingo, we're good.
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So this is a library that's built into Python 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.