Комментарии:
Python for-loops are very slow so you should avoid them whenever possible. Luckily pandas supports doing math directly on columns. So to add the BMI column you just need
data['bmi'] = data['height']/data['weight']**2
For example, for a dataframe with 300000 rows this is over 1000 times faster on my machine than the video's method.
This is the tutorial I was after for some time. Thanks a million. Fantastic presentation (as always)
Ответитьur amazing always , can u do any video on stock market data manipulation using pandas and numpy ?
ОтветитьGood vid !
ОтветитьContinue the good work. Your help is unique and inspiring :)
ОтветитьHey Maria, amazing job! very nice video..just a feedback the audio is out of sync with your lip movements
ОтветитьGood video. Let's us know how pandas works, generally.
ОтветитьYour for loop really helped me with some things that I couldn't do with standard pandas calculations! Thanks! Great video!
Ответить"There you go", another great tutorial ! Thx!
ОтветитьHow am I just discovering you?! This is glorious!
ОтветитьYou're the best mentor of all time 🎉
ОтветитьGreat video. Makes me appreciate R so much more.
ОтветитьHi Mariya,
This video helped me with creating a budgeting app for an assignment in a programming course. Pandas was used in my app for outputting tables of expense data. Thank you for posting videos.
- Henry
Dataframe 1 / Table 1
MaterialID |Unit Selling Price |Unit Cost
A | 100 | 80
B | 200 | 140
C | 150 | 100
D | 250 | 230
E | 225 | 215
Dataframe 2 / Table 2
Month | Quantity Sold | Material ID
Jan | 10 | A
Feb | 5 | E
Mar | 25 | C
Jan | 5 | D
Feb | 15 | B
Mar | 2 | A
Which month highest total sale amount achieved
Which month highest profit amount observed
Change Quantity Sold from 5 to 7 programatically and find out revised
Which month highest total sale amount achieved
Which month highest profit amount observed
keyboard is so loud
ОтветитьIf i try to read the db file made in sqlite3, pandas returns an empty dataframe, i dont know why and Im having issues troubleshooting it
Ответитьwhat os is this? looks like a linux distro? cool setup anyway and cool video
ОтветитьYour content is amazing. I really enjoy your channel.
ОтветитьI don’t know why but these heavy massive typing are felt pretty satisfying ))) maybe it is something wrong with me😅😊
Ответитьhow would you match user input to data in the pandas dataframe to see if its match
ОтветитьSuper well explained video
ОтветитьFour years in university passed we learned only variables, 4 years in 45 minutes ❤❤
ОтветитьAmazing tutorial as usual. Thanks again Mariya
ОтветитьGreat tutorial!
Ответитьu teach super good keep uploading data science videos in your plaYLIST I LOVE IT
ОтветитьI Made a app to store my recipes in pdf . But I cannot figure out how to make the recipe save in to a format that I want to create. Really appreciate ❤
ОтветитьThia was really helpful. I just joined an advanced deep learning course. But I found out i was missing some background.
ОтветитьMariya, have you looked into the Polars library for Python? It's supposed to be much faster than Pandas? It might be helpful to do a comparison video on Pandas vs Polars - strengths and weaknesses. What do you think?
Ответитьfor someone new to pandas, this is not a clearly logic tutorial like iloc, loc, loop each row, they just show up suddenly and without explanation
Ответитьlove u baby
ОтветитьGreat! Thank you!
ОтветитьThanks for the tutorial. What terminal program are you using? Looks handy.
Ответитьawesome shirt haha
ОтветитьThanx and highly appreciate ❤
Create more content about ML and DL
Thank you for your video, but the loud background drum typing is very very distracting. So much so that I can not focus on what you are explaining. If you will, please fix your audio or whatever must be done to remove this distraction. Thank you.
ОтветитьExcellent! Clear, efficient, simple and well explained and demonstrated.
Ответить2 minutes into the video I realize we think alike when problem solving. Look forward to exploring your content!
ОтветитьLove your videos. Well presented and clear. Thanks for taking the time to make this.
Ответитьalgorithm
ОтветитьHello, when I save my file using "to.csv " the file still gets saved in excel. what could be the problem
ОтветитьNice keyboard drums!
ОтветитьPandas is the best money making library I’ve seen so far.
ОтветитьI love you so much, I like a lot you're humor and you're sarcasms jajajaj
Ответитьmy doubt is why they kept all these as a library why cant't like built in function means without installing these library we shoud use thse library
ОтветитьKeep it up! 👍❤️
ОтветитьI appreciate you tutorials , honestly to start programming it was when I randomly found your video and from then I have got certificates in data science with python.Thank you so much!!!I am requesting if you can help make a tutorial about Taipy
ОтветитьGreat shirt!
ОтветитьGreat video, Mariya. Keep up the great work!!
ОтветитьCan you explain if you need to save data to excel file?
Ответить