Pandas loc and iloc | Pandas loc tutorial | Pandas iloc slicing | loc vs iloc

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loc gets rows (or columns) with particular labels from the index. iloc gets rows (or columns) at particular positions in the index (so it only takes integers). ix usually tries to behave like loc but falls back to behaving like iloc if a label is not present in the index.

Pandas loc and iloc | Pandas loc tutorial | Pandas iloc slicing | loc vs iloc

Pandas loc iloc documentation:
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Thank you very much for this video! It was really helpful and I learnt the different ways to use loc and iloc, as well as their differences!

tymothylim
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This video gives a clear explanation of the loc and iloc properties

Raaajzzz
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thank you, you have help me complete a task for my final year project on data analysis and it helped me a lot to understand the concept on iloc and loc. I appreciate it and loved how you explained the code step by step

juanjomontana
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I must say it is the best video for loc and iloc applications, covers everything

pritishpattnaik
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Clear explanation of loc and iloc. Helped a lot. Thanks.

dilshadurrahman
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Thank you very much finally a proper explanation!
Did a better job than my lecturer

yardenl
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Great Explanation(Better than my paid Course), Thankyou Sir.

fortask
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very amazing video, thank you so much for your effort.
It really helped me a lot

ahmedtorayah
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very helpful,
explained everything in a patient manner👍

arinjain
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Thank u sir, , U explained it really well

damonsalvatore
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thank you so so so much bro love love you

lagansardana
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At 5:30, why do we have to use loc? Why can't we just say df[df.Sex == 'male'] or df[df['Sex'] == 'male']?

bobvance
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Superb video
Exactly upto the point
plus code in description
->5/5 ! Buddy

^Edit : checked out the code in description, & i'll like to suggest u for providing exact code u typed in ur video ! tht makes this ->4/5

shahrahul
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I have liked (pressing the like button in this context) less than 30 videos overall in my youtubing history. This video is one of those. Truly and exactly what I was searching for. It is clear and understandable. Thank you for the video.

deeveshchowdary
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This is confusing. sometimes you use [ ] to put column names in and sometime you seperate it without [ ]

gemini