Python Pandas Tutorial (Part 2): DataFrame and Series Basics - Selecting Rows and Columns

Python Pandas Tutorial (Part 2): DataFrame and Series Basics - Selecting Rows and Columns

Corey Schafer

4 года назад

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Mark Kennedy
Mark Kennedy - 16.11.2023 23:40

Great stuff, Corey. Very clear. Thanks

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John Bainbridge
John Bainbridge - 14.11.2023 10:34

Hi Corey, thank you for this lesson. It left me wondering though why on Earth even bother with .iloc?

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Diego Oliveira
Diego Oliveira - 13.11.2023 03:38

Thank you! Very clear and informative. Keep up the good work!

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Kavorka
Kavorka - 12.10.2023 20:06

this pd.options.display.max_rows = 85 or pd.set_options('display.max_rows' , 89) don't work, the output is still 10. Any ideas?

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Obum John okafor
Obum John okafor - 03.10.2023 21:34

you are a talented teacher Corey, keep it up! I will always support your channel in anyway possible. Thanks!

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Zohaib Hassan
Zohaib Hassan - 30.08.2023 11:30

How to access the dataset

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Go ahead with zero speed
Go ahead with zero speed - 28.08.2023 07:29

You're a great teacher

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Tianpeng Wu
Tianpeng Wu - 25.08.2023 07:21

oh my god I am gonna cry now... your video really helped me a lot !!!!!

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Kingshuk CS
Kingshuk CS - 08.08.2023 14:45

Thanks it was very informative. I loved that u started from dictionaries and built up to data frames. It was really easy to understand. However, it's a little lengthy, but I'm not going to hold that against you!!😄😄

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Peter Luo
Peter Luo - 26.07.2023 03:18

I thought this tutorial was excellent.
Despite having prior Knowledge but the video is just so awesome.
Thanks for sharing the good work.

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Finn Collins
Finn Collins - 21.07.2023 15:38

best video series. i started yesterday. And am planning to continue all the 11 videos. thanks a lot. this freee course means a lot to me. thanks..

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Abolfazl Hamidian
Abolfazl Hamidian - 15.07.2023 23:32

how can I get the csv file?

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user n
user n - 28.06.2023 19:59

In jupyter notebook what is thie language we are using. Such as df=pd.read_csv() or df.loc[[0],'Hobbyist'].
Is this python?

And the python I learned from your python video , how is that useful or needed for this jupyter and panda learning?

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Xavier Romero Carrion
Xavier Romero Carrion - 11.06.2023 16:08

Thank you my bro... U r simply the best.

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Edwin Jose
Edwin Jose - 03.06.2023 06:04

Thank you, Corey. Love you.

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Wiktoria Rajewicz
Wiktoria Rajewicz - 02.06.2023 13:06

I can't believe I just watched this for free. Great job!

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Kamran Simon SaIf
Kamran Simon SaIf - 30.05.2023 14:08

Thanks for sharing, it helps me alot.

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Lee Paul
Lee Paul - 30.05.2023 01:29

Top python video. Straight forward, no bullshit

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1ne Minute Bonk3rs
1ne Minute Bonk3rs - 24.05.2023 14:35

2 down, 9 to go. Dated 5/24/2003

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Da Yim
Da Yim - 22.05.2023 18:52

Amazing

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Kos-Tech
Kos-Tech - 07.05.2023 08:48

Finaly I have some time to watch it

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rence rivera
rence rivera - 04.05.2023 05:31

best panda tutorial!

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RelaxingGorilla
RelaxingGorilla - 17.04.2023 20:09

Correct me if I am wrong, when you said accessing column with dot notation, that "count" is a method on dataFrame.
To access the count column from the dataFrame, you do df.count but to call the method df.count().

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Mohammed Kastali
Mohammed Kastali - 10.04.2023 14:05

thanks a lot sir Corey

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achal mahajan
achal mahajan - 08.04.2023 06:17

Thanks brdr.

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Aadhya rajput
Aadhya rajput - 04.04.2023 10:33

this is SO cool

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Murari
Murari - 01.04.2023 01:36

is there url link to download the csv file ?

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Al Furqan - الفرقان
Al Furqan - الفرقان - 30.03.2023 05:58

why doesn't the max rows apply to the df just like it applies to the schema?

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Sara Jantas
Sara Jantas - 28.03.2023 22:25

I was really stuck with the selecting rows and columns... but now I have a better understanding. Great video!

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H W
H W - 16.03.2023 12:37

This video series is awesome!

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Patrick Wheeler
Patrick Wheeler - 08.03.2023 02:53

This was very informative, thanks.

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Adison Fryman
Adison Fryman - 01.03.2023 00:40

How is he in two notebooks at once? Mine become "not Connected" when I try to open another

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Raveena Sarwal
Raveena Sarwal - 23.02.2023 00:14

Thank you for explaining python in easy words. Your lectures are very well scripted and provide very good information. Thanks for your hard work!

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Farshid
Farshid - 16.02.2023 17:37

perfect
watching your videos is the best experience I've ever had, brilliant. tnx to make python easy to learn

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Solomon Junior
Solomon Junior - 10.02.2023 00:06

Best pandas lecturer

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bingolio
bingolio - 26.01.2023 07:11

Excellent

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Mohamed Elsayed
Mohamed Elsayed - 21.01.2023 03:15

Jazakallah for your work!

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Алексей Соков
Алексей Соков - 06.01.2023 14:07

2023

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Dinesh Murali
Dinesh Murali - 06.01.2023 05:49

Really awesome video sir

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Ocean View
Ocean View - 05.01.2023 07:06

There is nobody like Corey when it comes to Python!!

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kumar samir
kumar samir - 30.12.2022 22:11

Thank you, Corey Schafer. your videos are so easy to understand and helping me to learn Pandas

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Fabiana Becatini
Fabiana Becatini - 30.12.2022 04:30

Great video! Thanks

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kanchi thakkar
kanchi thakkar - 24.12.2022 01:47

Thank you soo much for teaching. Really helpfull

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Shanker KC
Shanker KC - 14.12.2022 06:30

Awesome Pandas Tutorial.

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Dihao Feng
Dihao Feng - 11.12.2022 15:01

your course is fabulous. Thank you so much. subscribed for life!

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Josh Liao
Josh Liao - 04.12.2022 15:47

You literally made a series of videos covering my whole exam. So grateful to having these.

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Dilara Esmer
Dilara Esmer - 21.11.2022 01:52

:) thank you for sharing

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