All language subtitles for 5. Pandas Serie and DataFrame

Everyone and welcome in this new video in this video, we're going to talk about the pandas library

and more precisely, sandwiches and dataframe pandas is the most famous library to end all data, so

two cleaning dates are to manage data, etc. A series is a Python object, which is not only like a

dictionary because it is very similar to a one dimensional array, but each venue can have a label.

So let me show you an example.

For example, I can create a series using the Pandas library, so we need to use the series function

from pandas and as inputs, we need to put some values.

So a list of values, for example, and we can specify the name of the index

and like a dictionary.

We have a value, and for each venue, we have a label.

But if, for example, I want to call all the label labor one, it is possible for us service instead

of a dictionary because a dictionary.

Want a unique key?

So it is very easy to create some series from our Aurora, for example, or from a list.

So if a series is like a one dimensional running, you understand that, but that the frame will be

like a two dimensional.

All right.

So we are going to specify the name of the role and the name of the cone.

Usually in our case, the least index will be dates and the list of the columns will be some trading

indicator or stock prices, etcetera.

So.

To create a data frame, we need to use the dataframe function from pandas

and then we can put in there inside to have put that effort in, as we can see.

And then the frame is more readable then and no way.

But the only issue is that if you want to, for example, do some mathematical operation on the dataframe,

et cetera, it will be a little bit more longer.

Then on another.

So it is important to note because if you are a very big project, you need to transform your data frame

into another way to do it.

You just have to put paint values after that offering to transform it into an array.

So if I want to create now are dataframe, but with specific name of roles and Colin, I will do exactly.

As for the series, I will specify the index, so least index, and for the column I will specify list

columns.

So as we can see for this metric, three by three, it is more comfortable to read it with name at a

role and name for the column.

But I just want to imagine that if you have a very big matrix and you keep it in an hour, it will be

very difficult to read it.

So usually we always walk with that a friend to read some data, to work with data, to clean the data.

But if you have to do some transformation, mathematic calculus, or I don't know another computation

things on this data, you need to transform it into a number.