Python - Data Frame in Pandas | Python Courses in Tamil | Skillfloor - video Dailymotion

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Transcript

00:00Hello everyone, in this video we are going to talk about series in pandas.

00:08So series is basically one dimensional data frame and column data.

00:13So that's how we create and how we can do it practically.

00:21So first, we use pandas to create a series in pandas.

00:25So pandas library will import.

00:27Import pandas, it's called pd.

00:30Aliasing name.

00:32Next, we create a series.

00:34The series is called column data.

00:36So the column data is created in different ways.

00:41You can use a list.

00:44You can use a tuple.

00:45If we say it in short form, hitables.

00:48This is the first way.

00:51Second, we create arrays.

00:55That's how we use data.

00:57Third way, we use dictionary.

01:00We use a series to create a series.

01:04So first, we create a list.

01:07Then we create a series.

01:09Then we import the first pandas library.

01:12pd.

01:13That's the series data structure.

01:15So pd.series.

01:17What do we pass the first argument?

01:19Values.

01:20Column.

01:21We pass the values.

01:22First, we base the list.

01:24So the list is 1, 2, 3, 4, 5.

01:26Then we create a list.

01:27Then we create a list.

01:28Then we create a list.

01:29Now we create the values.

01:32Finally, we create a list.

01:34We use name.

01:35Name.

01:36One, number.

01:37That's the second argument.

01:38Third, the data.

01:40We use any format.

01:41That's the data type.

01:43So we use 1.0, 2.0.

01:472.0.

01:48Then we change flow data.

01:49We change this.

01:50If we say this,

01:53we call index.

01:55Index.

01:56Index is a row value.

02:00We start the default index.

02:05We start the default index.

02:06So we create a series.

02:08First,

02:09Column values provide.

02:10What data type is provided.

02:13Column name is the option.

02:15This is the most.

02:17Then,

02:18Index is the default index.

02:20We start the default index.

02:23This is the first list.

02:25We create a series.

02:27Next,

02:29We pass the index index.

02:31We use a list.

02:33We use a tuple format.

02:35First,

02:361, 2, 3, 4, 5.

02:37Series values provide.

02:39Next,

02:40we use index.

02:42This is the second argument.

02:43A, B, C, D, E.

02:44We use index.

02:45A, B, C, D, E.

02:46We change the value.

02:47If we change the value.

02:49We change the value of column name.

02:50We change the value.

02:51We change the value.

02:52This is the list.

02:53Now,

02:54We use a list.

02:55We need a series.

02:56We head to create a list.

02:57Next,

02:58Second way.

02:59We use arrays.

03:00We use arrays.

03:01We use a series.

03:02We have to create a list.

03:03Now,

03:04we use arrays.

03:05So first, 50 library import import as np.pd.seriesof

03:12If you want to pass what you want to do, you want to pass what you want to do.

03:16Now you want to create an array.

03:18So np.arrayof

03:20Or range function use 50,60

03:22Then you want to use an array of 50

03:2551,52 till 59

03:29You want to extract an array

03:32So if you want to pass what you want to do

03:34Then you want to change column values

03:36If you want to change the index, you want to change the range

03:40The tool is 12

03:42Then you want to start the 11

03:44Then you want to change column names and data types

03:48So we want to change a series

03:52This is the second way

03:54Arrays use and create

03:56Next

03:58One dictionary paste and how do we create series?

04:02First we want to create dictionary

04:04Dictionary is the

04:06Keys

04:07Name

04:08Age

04:09Department

04:10Now

04:11Age

04:12Department

04:13CC

04:28Then

04:29Dictionary

04:30Values

04:31Show

04:32Column values

04:33Show

04:343

04:36List

04:38Array based

04:40Data

04:41Index

04:42Default

04:430,1234

04:44Index

04:45Parameter

04:46Index

04:47Parameter

04:48Change

04:49in the

05:03Delivery

05:06Then

05:08Age

05:09Index

05:10That value

05:1122

05:12Department

05:13EC

05:14This is why we create a series and add the data in the dictionary.

05:21Dictionary 1 of a key value equal to value.

05:25That is not a series.

05:27We create a series of S1.

05:29We add a new element to this.

05:31Passed out 2023.

05:34That is why we pass the data.

05:37Director S1 of series 1.

05:40That is not a series of name.

05:42So, S1 of passed out equal to 2023.

05:46That is why I create a fourth argument.

05:50Now, when I create a series,

05:53If you extract the student's age,

05:56What do you do?

05:58Dictionary 1 of key values.

06:00This is the same.

06:02Series name.

06:04That is S1.

06:05S1 of index use.

06:07We extract.

06:08So, S1 of age.

06:10We extract 22.

06:13Now, we create a series.

06:16Based on

06:18What methods?

06:20List based.

06:21We provide tuples.

06:23We change tuples.

06:26Then,

06:28Arrays use.

06:30Then,

06:31Follow by that.

06:32Dictionary use.

06:34This is the Pandas series.

06:39We will see you in the next video.

06:42we will see you in the next video.

06:43We will start.

06:44The pending Sasan is at the time.

06:45We are at the time when the

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