Heads up! To view this whole video, sign in with your Courses account or enroll in your free 7-day trial. Sign In Enroll
Preview
Start a free Courses trial
to watch this video
A DataFrame is basically just a two-dimensional collection of Series.
This video doesn't have any notes.
Related Discussions
Have questions about this video? Start a discussion with the community and Treehouse staff.
Sign upRelated Discussions
Have questions about this video? Start a discussion with the community and Treehouse staff.
Sign up
Good job learning about the power of the
single dimensional data structure series.
0:00
Those labels sure do help to locate as
well as align exactly what it is that
0:04
we're looking for.
0:09
Good job making through that
mini series of lessons.
0:10
The mini series, see the,
sorry that's bad.
0:13
Now I think we're ready to move on
to the two dimensional version,
0:15
the wonderful and
much respected, dataframe.
0:19
I'd love for you to imagine
the data range as bunch of series,
0:22
in a line next to each other,
one after the other.
0:27
Notice how the labels all line up?
0:30
Let's just squish those together.
0:32
Now we should probably know
what each of these are so
0:35
that we can label each of the series,
like a column heading.
0:38
Actually, would you look at that?
0:41
We've got rows and columns,
just like a spreadsheet.
0:44
And you know how powerful
spreadsheets can be.
0:47
You've already seen the power
of two-dimensional arrays and
0:49
NumPy the matrix, whoa.
0:53
Well, this dataframe structure is even
more powerful because the indices
0:54
are labeled.
0:58
And you can very clearly specify
what it is that you're referring to.
0:59
Unlike NumPys in the arrays,
1:03
panda's dataframe can have multiple
data types all in one structure,
1:05
like we saw in that example,
the number of conferences and their names.
1:08
Let's see if we can't build ourselves
some of these dataframes to explore.
1:12
I bet you're dying to
get your hands on them.
1:15
Quick reminder, if anything isn't clear,
make sure to get a hold of the notebooks,
1:18
and explore around in
your own environment.
1:22
Explore, and also ask questions
of your fellow students.
1:24
Don't forget to check, and see if you can
help a fellow student out with a question.
1:27
Ready, let's do this.
1:32
You need to sign up for Treehouse in order to download course files.
Sign upYou need to sign up for Treehouse in order to set up Workspace
Sign up