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21.5 Combining branching with loops

  • Page ID
    88714
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    And now for the really important application of branching in data science programs: combining it with loops.

    Just as we can have an if statement (or if/else, or if/elif/else) inside an if body, so we can have an if statement (and friends) inside a loop body. This is where we’re going to get a lot of mileage.

    Let’s return to Springfield. Our simpsons DataFrame from p. 174 looked like this:

    Screen Shot 2022-09-12 at 6.25.17 PM.png

    Now an ordinary loop could print (say) the name and favorite things of all the characters:

    Code \(\PageIndex{1}\) (Python):

    for row in simpsons.itertuples():

    print("{} likes {}.".format(row.Index, row.fave))

    Output:

    Screen Shot 2022-09-12 at 6.49.01 PM.png

    But combining this with branching techniques gives us more power. We could, for example, print only the females:

    Code \(\PageIndex{2}\) (Python):

    for row in simpsons.itertuples():

    if row.gender == "F":

    print("{} likes {}.".format(row.Index, row.fave))

    Output:

    Screen Shot 2022-09-12 at 6.49.39 PM.png

    or give different messages for different age ranges:

    Code \(\PageIndex{3}\) (Python):

    for row in simpsons.itertuples():

    if row.age >= 18:

    print("{} earns ${} outside the home.".format(row.Index, row.salary))

    else:

    print("Aw, {}'s just a kid.".format(row.Index))

    Output:

    Screen Shot 2022-09-12 at 6.50.18 PM.png

    or combine these things in innumerable ways:

    Code \(\PageIndex{4}\) (Python):

    for row in simpsons.itertuples():

    if row.species == "human":

    if row.IQ > 115:

    print("We'd like to nominate {} for a Nobel prize.".format(row.Index))

    elif row.IQ >= 90:

    print("You can trust {} with a {}, or even a knife.".format(row.Index, row.fave))

    else:

    print("Hmm. No comment.")

    if row.salary > 0:

    print("The {}-year-old {} is gainfully employed.".format(row.age, row.Index))

    else:

    print("Hey...{} is some kind of animal!".format(row.Index))

    Output:

    Screen Shot 2022-09-12 at 6.50.53 PM.png

    You get the idea. Using a loop, we can successively consider each element of an array/Series or the rows of a DataFrame. Using if and friends, we can treat each one differently depending on its characteristics. The possibilities are endless!


    This page titled 21.5 Combining branching with loops was last modified on Sun, 18 Sep 2022 02:06:10 GMT and is shared under a not declared license and was authored, remixed, and/or curated by Stephen Davies (allthemath.org) via source content that was edited to the style and standards of the LibreTexts platform.

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