Hi, welcome back.
And this lecture, we will learn new things using Banda's python module to analyze data frame that we
created in the last section.
Data frame is as spreadsheet as you see in the law section.
When we try to open and read the airline's data, both see as we file it, return it as data, frame
the first binders comment we will use in this lecture as the F dot columns as the following.
So we will tie the DOT columns and run the sun, it returns the names of the columns in the data frame
if we want to get the values of one column.
So we will use the name of the column as the volume.
For example, we will use passenger name in our next example, G.F., Dot Messenger and the school name
and run the cell by using Scheft and enter to run the cell.
And we get the first five values or the first five rows of the passenger name column.
If we want to grant all the data and the data frame, we will type D.F. It will print all the data in
the data frame and the following, as you see, it brings all the data in the data frame and all the
columns we have now.
We want to get many columns, but not all the columns from our data frame.
So our good will be at the following.
The F one equals the F between two square brackets and inside the two square brackets, passenger name
column, the column and the right column, each column between two parentheses and separated by commas
and run the cell.
It will return all the data from the three specified columns so we can return many columns without returning
all the column by using the comment, by using the last data frame comment.
Now we want to return the last five rows of our data frame and the following using the F dot tail or
the tail method to return the last five rows and we can specify numbers of last rows we want to return.
And between the two brackets of the tail method, we can also display specific role in our data frame
by using Eilert method as the following display between two brackets the f dot.
I log into square brackets the position of the row that we want to return as the following.
We choose the tickets through.
So after run cell, it returns the value of the second row and our data frame.
If we want to know the rank of every row in our data frame.
So we will use dot rank method as the following.
So they have that rank.
And runs the cell at Returnee's, the rank for every role in our data frame.
And if we want to retain all the information about our data frame, we will tie D.F. Dot info and run
the cell.
It will return all the information about our data frame.
Now we will use Biton Web browser module as the following to run to run the Banda's data frame website
as the following.
So import web browser and run the cell.
Then in the next cell declared the website that we want to open to a variable called website.
So website equal between two entities, entity B as a column, then slash Spender's dot org.
Slash Banda's dot docs.
Slash slash reference, slash api, slash Vandersloot data frame dot com and then end new line web browser
dot orbin between two brackets website variable.
So in the website of that Afrim Banda's, all the muscles and function can be used and you can learn
about it.
That's that a frame.
Please don't skip this process and keep learning and check all these functions to learn more about bandas
that a frame.
At this point, we reach the end of this lecture hall.
We enjoyed this lecture and get all of that.
Thanks for being here.
Thanks for watching.
See you next week, you.