Python Pandas Tutorial (Part 6): Add/Remove Rows and Columns From DataFrames

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In this video, we will be learning how to add and remove our rows and columns.
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In this Python Programming video, we will be learning how to add and remove rows and columns from dataframes using the append and drop methods. We will also see how we can create new columns by combining elements from existing ones. Let's get started...
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Опубликовано:

6 июл 2024

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Комментарии : 237

@coreyms 4 года назад

Hey everyone. Hope you're all having a great weekend. I'm still working on finishing up the series. Let me know if there is anything specific you want me to cover. In the next video I'll be covering sorting, and some videos still to come include: working with dates, aggregating data, reading and writing to/from different sources, and a discussion on the recent Pandas version 1.0 release. Let me know if there is anything else you'd like to see! Thanks and have a good one!

@shamsuddinjunaid30 4 года назад

Hey Corey!! Could you please dedicate one of the videos to visualisations using Pandas...Thanks:)

@y0ngjin 4 года назад

Hi Corey, Can you please cover lambda? Thank you as always!

@coreyms 4 года назад

Shamsuddin Junaid Yes. I’m actually going to do an entire series just for Pandas plotting

@kaaaaasraa49563 4 года назад

Hi Corey, Please make a video about how to sum columns or rows in our DataFrame(each column/row or with a specific condition) I think it will be really helpful in some cases... Thanks🙏🙏🙏

@chrizantik 4 года назад

A video on Dask would be great. Keep up the great work!

@suryatejasunny 4 года назад

Thank you Brilliant for sponsoring Corey.

@halim_Ha 4 года назад

The happiness rises when you get notification from corey

@mas7850 4 года назад

Agree!

@andynelson2340 2 года назад

8:00 if you're getting a FutureWarning on append method, you can you concat method instead. df = pd.concat([df, pd.DataFrame.from_records([{ 'first': 'Tony'}])])

@lofenzeq Год назад

thx so much🐼

@prathmeshraut7232 11 месяцев назад

Are bro op

@azadorucov8712 10 месяцев назад

They changed it to (_append) now

@jMaRiO1986 9 месяцев назад

Gracias

@victorlinde1832 9 месяцев назад

from_records can be omitted df = pd.concat([df, pd.DataFrame([{'first': 'Tony'}])])

@expat2010 3 года назад

Aside from the unparalleled level of instruction, the production of these videos is superb. Only one of the 5 commercial courses I have taken was in the same league.

@elikent78 Год назад

Hey Corey. Just wanted to say your videos are the best I've come across yet explaining how Pandas works. Great job. Thank you!

@babatundekelvinifeoluwa2318 4 года назад

Great videos! I can proudly, your tutorial are the best online tut on python I've ever come across so far...

@akritisstory850 4 года назад

Thank you Brilliant for sponsoring this course. Many people are getting help as more and more data analytics jobs are coming, this video is must.

@dipayanroy8357 4 года назад

Corey, Can I request a tutorial series on date time forecasting through machine learning? I've gone various videos and articles, but none of them match your clarity and simple way of explaining complex things. Would really love to see that!

@Kralnor 4 года назад

Thanks for this excellent video series on Pandas. Your style is much cleaner and easier to follow than by trying to read through the official docs and various Stackoverflow posts. I'd really like to see a video on the different df.merge variations, particularly using MultiIndex and handling duplicates.

@ciprianp495 4 года назад

Wow, man! With a little bit of help from Google and your videos, I was able to automate an Excel File ... Thank you and keep it going! You rock!

@questscape Год назад

The speed of information that flows in is insane. Amazing playlist 🙌

@RAJASEKARCMR 9 месяцев назад

07:56 instead of ' append() ' -> ' _append() ' works (underscore in front)

@fhdhejeh63 3 года назад

I am sure that I will never forget about the sponsor of this video

@ZsoltPal23092011 Год назад

amazing, thank you for these! aside me banging my head into the table from the mix of syntax styles and asking out loud "how the heck will I remember all these" by where do you need 'inplace' and where not, when do you to pass what, the videos are a godsend!

@GuilhermeMendesG 2 года назад

Corey, you saved my life! Thank you so much for this amazing series. I've learned so much!

@fahadshoaib8735 2 года назад

Adding column 0:43 Removing column 3:08 Adding rows to data frame 6:40 Adding two data frames 9:45 Removing rows 12:11

@shivamd23 Год назад

Thanks 😊

@Tolgo_on_youtube 2 года назад

Amazing content, thanks for making this complicated topic intelligible, accessible, and available.

@davebeckham5429 4 года назад

Great tutorial Corey. - Thanks for sharing.

@BugMagnet 2 года назад

Thank you so much for these easy to understand tutorials. My guess is these will get millions of views once schools discover that programming should be a core subject.

@jumalincoln3108 Год назад

Thank you Corey for this amazing video. You have helped me much.

@SolvingOptimizationProblems 4 года назад

Great python tutorial. Thank you very much!

@parvathirajan.n 4 года назад

Thanks for the good video !

@nguyenquangred 3 года назад

Thank you very much for this tutorial series!

@rodrigoramirez8150 2 года назад

I am grateful for this video. I really appreciate your sharing with us.

@cookiemonstercupcake 3 года назад

Hey, Corey! You can simply delete columns by using "del" function. For example: del df['full_name']

@biswasv 3 года назад

very well explained in a simple way

@sudiptomitra 3 года назад

At the point of 14:13 of this VDO, I got my query resolved ! Thanks & many likes from me :-)

@roywit7836 3 года назад

Very well and clearly explained thanks :)

@GeoPoly55 4 года назад

You're great Sir thank you

@farhadalam6974 5 месяцев назад

Great lesson. Thanks

@CapsLock959 4 года назад

Corey, you are the man!

@saitaro 4 года назад

I thanked you in the previous video, this comment is just to support channel.

@niharjamdar4869 3 года назад

I am addicted to your lectures please upload Numpy tutorials too

@BlinkDrive555 2 года назад

It's working like charm. thank you

@melsaied101 Год назад

Thank you for your efforts

@cryp0g00n4 2 года назад

This is a superb series

@Nishantkj 4 года назад

thanks for all this hard work , your videos are just amazing .. i have one question - how to use '.applymap(lower)' if some of values are NaN. as we did here after appending df2. thanks

@igorvujcic1731 3 года назад

Awesome series!

@janevinokur3341 4 года назад

Thank you so much!!! You provide the best material I've seen so far, so clear and to the point! I wonder how to use Pandas to analyse and organize multiple data into several sheets in a single CSV or Excel file. Are you planning to share this kind of wisdom? :)

@coreyms 4 года назад

I was definitely going to cover exporting to Excel. I wasn’t necessarily going to show combining multiple DataFrames into Excel, but maybe I can throw something together. Thanks for the suggestion!

@PrashantKumar-nb5ig 4 года назад

Great teaching sir

@ambijat 4 года назад

very nice and clear

@TarokhYaghoubi 2 года назад

Another great video !

@ishanpand3y 4 года назад

Number 6. Thank you, sir.🧡🤍💚

@mohamedhnfy Год назад

Congrats for 1M subscribers

@tejamarneni 4 года назад

Hi Corey, I have a quick question. When loading a CSV file using the CSV module, I am getting weird characters while using encoding as utf-8 but when using UTF-8-sig it is working fine. Can you please explain the difference between utf-8 and utf-8-sig?

@naveenbagri2009 3 года назад

thanks from my heart to u sir, From India.

@tajsheikh3534 3 года назад

Thankyou. Covered the topic well. How would I remove a bunch of rows?

@tickokok1410 2 года назад

Sir you are great Thank you

@diprachakraborty7718 4 года назад

Corey will you make videos for Exploratory Data Analysis. Thanks

@YeekyYeeky 3 года назад

Thank you very much

@juanpablozapata3904 2 года назад

append no longer works (at least for me). So you can do it with this instead: "df=pd.concat([df,df2],ignore_index=True)"

@ritikjawalkar2877 Год назад

For all those who are coding in 2023 .append function has been changed into ._append

@jakubgorgon7767 11 месяцев назад

thanks!

@ugestacoolie5998 6 месяцев назад

yeah cuz they thought it was too similar to list.append and people thought they were the same thing

@mostafaelnady7827 6 месяцев назад

thanks brother

@CAROLUK 6 месяцев назад

Thanks!

@hartdemerchant9806 5 месяцев назад

Thanks Man

@chriskeo392 3 года назад

Thanks brilliant

@benjamintitcomb9560 3 года назад

Thank you so much

@Coney_island23 2 года назад

excellent!

@pandeyUkislay 12 дней назад

Hi @Corey - amazing work this and others! more power to you Quick question tho - were you able to get the answer to why some method do not have inplace argument

@bsdvs23 Год назад

Could you provide some examples using the DataFrame with concat since the append is being phased out?

@junaidmalik9593 4 года назад

Hi , to perform drop should i use df.drop(Column =[Col1,col2] or its ok to use df.drop([Col1,Col2,Col3],axis=1). hope there is no difference b/w both . please confirm.

@experimentalhypothesis1137 4 года назад

would be great to have a machine learning series from you

@kiraal3619 4 года назад

yaaaa !!

@arpitagec9 3 года назад

Can you pls tell me how can we use apply() to get the full_name column without using the String concatenation?

@williambeasley838 2 года назад

Cory, great tutorial. Question, how would i remove multiple rows? Example if i have 10 different names, and i want to remove 5 of them. I tried putting a comma between names, but nothing happens.

@NandhaKumar-hw2bz 2 года назад

Thank you🌹🙏

@gayratsaidakhmedov5451 3 месяца назад

thank you

@whiteknight1421 3 года назад

First of all thanks for the tutorial And this might be late, you might as well mention it in later video (which I had yet to cover) I notice that if a change is displayed when typed, it is not set to be inplace/assigned, which needed to be done by assigning it

@mobileentertainment212 2 года назад

Hi, is there a video that teaches conditional columns? For example create a row that 'True' if concentration > 0.1 and Credit_rating == ['CCC', 'BB']

@seanli75 3 года назад

thanks, But I wanted to know if there was a ton of rows (like 1 million rows) how do you rename the one that is when it is labeled 0,1,2,3.

@kiraal3619 4 года назад

Thaaaanks a lot :DDD

@brod515 3 года назад

@11:49 That's probably because appending is extending the memory required to store the database so it would need to create new memory anyway so it can't do it in place.

@kabandasafi9132 Год назад

hi corey how could you add in full name does appended name in our data frame? anyway thank you for the insight it is very reached in content.

@kameshinipillay4587 Год назад

Great video again thank you! When I use the drop function, I'm getting a "not found in axis" will you be explaining how the axis works also? :p

@parrychen4738 3 года назад

Does pandas directly support mask or filter based dropping of rows? That would be more convenient.

@jackli2530 4 года назад

Hi Corey, your tutorial are great, but it would be even better if you could put lesson index at the beginning instead of middle

@maheshmmmec 4 года назад

How to apply different aggregation function on different columns on same group object.

@Gaming__01Guru 11 месяцев назад

For the ones who might get an error while using append method this is because append method has been deprecated in pandas 1.4 and removed from the pandas API entirely in version 2.0 rather you can use concat() method

@shobhitsadwal756 2 года назад

hey Corey , thanks for the video , my only problem is that the code fil=(df2["first"]=="Steve") df2.drop(index=df[fil].index) is not working correctly,

@RonnyC98 4 года назад

How would you insert a row with its own index?

@jagadishs3931 3 года назад

for old version of pandas this works df.drop(['first', 'last'],axis=1, inplace=True)

@mitchellfolbe8729 2 года назад

If they say you learn from your mistakes, I must have learned a lot. I have typed just about every line wrong in the last 5 videos, missing a " ' "or a "]" or a '.' or a ',' or a capital letter or just misspelling words. I am sure I will continue to do so. Frustratingly fun.

@ssigitas69 3 года назад

Hi. I want to ask you, how to remove all NaN rows?

@JoshuaDHarvey 4 года назад

Why does df[df[filt]].index return Int64Index([6], dtype='int64') and not either a series or dataframe of the index as an object?

@rameshreddy908 3 года назад

Thanks, Very nice videos. Do you have any udemy courses on Datascience/ML?

@MegaKrishnat 12 дней назад

If anyone wondering how to do df2 with concat then this is how it goes df = pd.concat([df,pd.dataframe(df2)], ignore_index=True) 12:14

@youtube1e2r3t 9 дней назад

thanks brother

@snehajadhav3364 3 года назад

how can i use this for multiple .csv file in folder

@sajilakl 4 года назад

Can you do a series on Date time series?

@TopicalAuthority 4 года назад

For 6:33 I have this error: ValueError: Columns must be same length as key What can I do, any ideas?

@eslamadel3770 3 года назад

Did you find any solutions?, I still stuck too!

@shyamss2338 2 года назад

How do I use apply method to get the fullname. I created the full name function. How to proceed further?

@vivshukla7742 2 года назад

How we can update any value in coulmn for example row 4 want to update NaN to some other value ,how we can do that?

@nive1 2 года назад

Is there a method where we can transpose the rowand columns

@ssss54 4 года назад

Hi Corey. How do I filter out records where a specific column has values NaN

@akshaykumar2171 4 года назад

If you want to filter out just those results which have NaN Values then you can use isnull() method df[df['Full Name'].isnull()] and it can only be applied to a specific column. If you want to exclude just the NaN values then either you can use notnull() or contains with attribute na = false like corey did with language column. df['Language'].str.contains('Python', na = False).

@gautamjha711 3 года назад

WE ALL NEED VIDEOS FOR DATA STRUCTURES AND ALGORITHMS IN PYHTONNNNNNNN!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

@zijunli8482 Год назад

Thanks Corey--could you make an update video about using pd.conta() rather than frame.append() to add new rows? because fame.append() is going to be removed in the future pandas versions

@aguer007 Год назад

df = pd.concat([df,pd.DataFrame([{'first': 'Tony'}])])

@RAJASEKARCMR 9 месяцев назад

append() is now _append()

@Anteater23 2 года назад

13:31 Why does it not work when I use df.loc(filt) here instead of df[filt] ?

@razorblade413 7 месяцев назад

if i can drop rows using dataframe.loc with conditions why would i use .drop with conditions to drop rows? It seems like loc function could replace the drop function, at least when dropping rows based on some conditions. Could somebody knows about this?

@dipinadhikari9549 2 года назад

I have a dataset that have a column saying titile there are some sentence and I want to delete the row having business and rent in the title so how can I do it?

@manajitdas7619 3 года назад

love..

@the-ghost-in-the-machine1108 Год назад

for the ones getting 0 and 1 values when splitting the full_name; just add .values attribute end of the split line

@aaronzolotor430 Год назад

In Pandas 2.0 and above the append method has been replaced with concat for anyone who gets confused or frustrated.

@LB-qr7nv 4 месяца назад

Probably there is only an inplace-parameter if only the affected data (or not much more) gets changed. Append for example probably uses the numpy append which is not inplace, so all the data must be copied. For drop no time-consuming changes need to be done, just one key and pointer get removed

@khusboo4907 3 года назад

What will be the solution if I want to add new row in a dataframe whose value is from the existing dataframe...like for each row a new row will be created having all integer value added upto 1 and string will be appended with _ new.....can anyone help me out