Thank you for the replies. Is there a way to go back to a completed challenge to play with it more? Or are you stuck once the solution is showing

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There are no playoffs in La Liga. Those years with more matches were unique because there were 22 teams playing instead of the regular 20.

For a while I thought “1 season” meant the first season and was very confused. Turns out 1. and 4. asks for the max and min out of all seasons.

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Hello everyone.

I will be moderating this forum till 10 AM EST.

Feel free to keep the conversation around the challenge alive.

Thanks!

Fun challenge! I enjoy the direction we are taking with moving onto pandas.

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I’m also interested in the answer to this question! Is this possible @Kelvine95 or @caroLHL ? (Thanks!)

How To See The Entire Data Set

Use Print() Method
Carousel21 mentioned that you can see the entire dataset by using the print() method. E.g. by doing something like:

print(df)

Another way is to pass in the total number of rows (or a larger number than the total) into the head function. E.g. by writing one of the below

or

to get all 33 rows. The reason that df.head() gives only the first 5 rows (row “0” to row “4”) is because 5 is the default number of rows for the head() function.

Here’s the documentation that explains how the head() function works:

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This is absolutely correct!

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When you don’t know sports and English isn’t your primary language all the abreviations of the table mean nothing.

What are:
MP W D L GF GA GD

Is D for Defeat and L for Losses, doesn’t make sense, if it’s both the same.

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I think it could be D for Draw

Hi all, I will be moderating the forum for the next 2 hours. Please let me know if you face any barriers in attempting to complete todays challenge. Also, please remember to not share any answers on this forum.

Denver

MP - Matches Played
W - Won
D - Draw
L - Lost
GF - Goals For
GA - Goals Against
GD - Goal Difference (GF - GA)

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I’ve been using replit to run Python and import pandas as pd is returning an error. ModuleNotFoundError: No module named 'pandas'. Is there anything I can do there or does this challenge have to be done on Jupyter?

I would recommend using the Jupiter notebook provided

Although not part of the challenge, how can we do the min, max, etc for a certain group of data from the entire dataset? For example, if I wanted to only look at the maximum wins for a country “es CAD” in the data set, how could I write that out as wins.max() would just look at the entire set?

Interesting question. I want to look further into this too. (sorry, I can’t help, this is the first time I’ve ever seen Pandas and need a bit to get it.)

in the links for this challenge ( Using Pandas and Python to Explore Your Dataset – Real Python )there is some stuff under ‘Exploratory Data Analysis’ that might be helpful.

hoping there is more coming in the next few days that will give us a chance to try this out.

Fun challenge! Didn’t get confusing and applies practice of common functions for reiteration.

Thank you!

GF? GA? GD? I see that I don’t know anything about soccer.
Thanks, @Denverdias for this!

Hi brittybuttercup!

Someone posted an explanation of how to do this (or something very close to this), here:

Aww, thanks for finding an answer.