Who needs python docs when you have such an amazing teacher
@seanli754 жыл бұрын
True:
@niteshprajapat79183 жыл бұрын
Exactly Brother
@JoshKonoff13 жыл бұрын
Where is the CSV for this? I don't see it in the description. Thank you!
@SimonYells2 жыл бұрын
True
@OT-tn7ci2 жыл бұрын
the teacher
@ishanpand3y4 жыл бұрын
In case you don't know, the shortcut for 8:13 in jupyter notebook is *Ctrl + left mouse click* on the different lines one by one. You can write at different lines at the same time.
@jaxnaur2182 жыл бұрын
Nice! Thanks form 2years later!
@jeffery_tang2 жыл бұрын
alt + left mouse in vs code
@damalkkoklannou16208 ай бұрын
thanks u @@jeffery_tang
@MrBuion4 жыл бұрын
These series is much better than the curses in Udemy I paid for. Thank you very much.
@DendrocnideMoroides3 жыл бұрын
what "curses"
@iscoto49142 жыл бұрын
@@DendrocnideMoroides wannabe savage
@TheShubham674 жыл бұрын
This series with pandas one has taken my skills to a new level.
@sunshadow97042 жыл бұрын
Corey, you are great teacher. You have rare ability to explain calmly. Much appreciating your efforts.
@fangshizhu93833 жыл бұрын
At 8:12, when you selected multiple locations and simultaneously type the same code to multiple lines, my world just expanded!
@bmwmhamam4 жыл бұрын
No body teaches like you. You are the best. Amazing delivery of information, truly useful tutorials. Thank you so much.
@Ghasakable5 жыл бұрын
Man, you are awesome, everything I have learned about python started from your channel, I wish you the very best all success, as you make everyone happy, keep up the excellent work, we all heavily rely on you.
@coreyms5 жыл бұрын
Thanks! That's very kind of you.
@apoorvwatsky5 жыл бұрын
23:40 here's that one liner if anybody's interested. Personally, I like this more. languages, popularity = map(list, zip(*language_counter.most_common(15)))
@costasvas3414 жыл бұрын
Really nice! Could you please explain what the "*" symbol does?
@paklong25564 жыл бұрын
nice
@jg91934 жыл бұрын
Or just: list(zip(*language_counter.most_common(15))). Map is unnecessary as list() automatically maps over an Iterable
@corben33484 жыл бұрын
@@jg9193 but if you don't use map(list, iterable) then languages and popularity will be tuples so you cannot use reverve() for the rest of the tutorial. Or languages, popularity = [list(e) for e in zip(*language_counter.most_common(15))] without map
@jg91934 жыл бұрын
@@corben3348 Fair point, I didn't think of that. That said, he could just do languages[::-1] instead of languages.reverse() to reverse a tuple Then again, using list() would even be unnecessary if he did that
@shadowmasked7188 Жыл бұрын
Thank you very much bro, Greetings from Azerbaijan.
@borhansiddiki70794 жыл бұрын
I think your videos are more understandable than rest of the youtube channels
@SahilKhan-rv9xb3 жыл бұрын
for those wondering how to obtain the CSV file, once you've clicked on it and you see all of the data in your web browser, just right click and say save as
@Alejandro-ry9ny3 жыл бұрын
jaja that was very useful, Thanks!
@shashankbanakar87662 жыл бұрын
Thanks so much!
@abhishek_raj3 жыл бұрын
Right from reading data from a csv file to plotting it, you helped a lot of people.
@KienDoanTrung1685 жыл бұрын
such a great Python instructor with an angelic voice. Thank you so much 😊
@nicholasmaloof83785 жыл бұрын
2 weeks later and still not a single dislike on this video
@shuklarahul174 жыл бұрын
As you mentioned Zip can also be used language = cnt.most_common(10) language.reverse() language_X, language_Y = list(zip(*language)) plt.barh(language_X, language_Y)
@djadamkent5 жыл бұрын
Another great video, thank-you. A Pandas series of videos would be awesome!
@introduction_official65475 ай бұрын
Very informative video, good job Mr Corey
@akunnaemeka3952 жыл бұрын
thank you Brilliant for supporting Corey
@ericfricke45124 жыл бұрын
Programming is so fun.
@miosz9524 жыл бұрын
The great thing about your tutorials is that despite main topic, you learn a lot useful tricks, modules etc.
@dalanxd3 жыл бұрын
Corey Schafer saves my life once again... Deep gratitude for your work, man!
@lalu2255 жыл бұрын
Excellent tutorial Corey! Real life stuff and practical, including the use of Counter. It's important to show these data preparation steps. Very helpful indeed, thank you.
@manosmakris8308 Жыл бұрын
You can also do this for geting the languages and popularity lists. languages = list(map(lambda x: x[0], language_counter.most_common(15))) print(languages) popularity = list(map(lambda x: x[1], language_counter.most_common(15))) print(popularity)
@Thedevineforce4 жыл бұрын
@Corey Schafer .. I came up with below function which will handle the bar widths for multiple bar plots by itself. Just in case anybody wants to use it : ages_x = np.asarray([25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]) count = 5 width = 0.8/count def width_cal(position): shift = np.array([]) if count < 2: return ages_x if count % 2 == 0: for i in range(1, count, 2): shift = np.append(shift, (width/2 * i)) shift = np.sort(np.append(shift, np.negative(shift))) else: for i in range(0, count, 2): shift = np.append(shift, (width/2 * i)) shift = np.unique(np.sort(np.append(shift, np.negative(shift)))) shift = np.around(shift, decimals=3) return ages_x + shift[position] plt.bar(width_cal(0), dev_y, width=width, color='#444444', label="All Devs")
@ahmedskasmani4 жыл бұрын
Amazing content Corey. The way you simplify the material and explain is awesome, many thanks. Can you please also do a video showing your setup and how you make video's. Thanks !!!
@micheliwrmg Жыл бұрын
sad fact, if you want to open csv file in PYcharm , you have to pay for PYcharm Professional(~$230) :( btw you are the best teacher I've ever seen
@dhssb999 Жыл бұрын
best matplotlib tutorial ever!
@SM-vu6fm2 жыл бұрын
Counter() is the best thing I learned today
@luiggitello85468 ай бұрын
This is the best content on KZbin, thank you for so much
@storiesshubham41452 жыл бұрын
I can't express how amazing this video is. What a great teacher you are. 🔥🔥
@58_yesilgul7 ай бұрын
What a perfect lesson, fast and insightful pieces of knowledge...
@mohammedismail3085 жыл бұрын
Thanks a lot Corey. Really your videos are endless treasure. Just a way for plotting bar charts for more than one dataset on the same plot without need to numpy. Just use built-in map function. width = 0.25 #Width of bar plt.bar(list(map(lambda x: x-width/2, age_x)), salaries1, color = 'k', width = width) plt.bar(list(map(lambda x: x+width/2, age_x)), salaries2, color = 'r', width = width)
@Anon2828282 жыл бұрын
thank you for always showing the clear code before abbreviating
@rotrose75312 жыл бұрын
Thank you very much. Please, please come back!
@dgh25 Жыл бұрын
Your videos are just sprinkled with little golden nuggets! I love it ❤
@brumarul74813 жыл бұрын
This is pure Gold .
@rahil1575 Жыл бұрын
you are a life saviour for people like me
@ItzSenaCrazy5 жыл бұрын
What I really like is your videos, Corey. I can learn Python and English ;D Thanks!!
@MagnusAnand2 жыл бұрын
I can't believe we need this hack to make a bar chart. Great video.
@eziola11 ай бұрын
Would still love to see a video on counters and DefaultDict!
@dhairyaoza54223 жыл бұрын
thank you so much sir,really glad i found ur playlist and didn't waste time on other platforms
@gamengine11764 жыл бұрын
Very helpful video. The pandas method is much simpler and easier to understand. Thanks Corey!
@pratikarai81154 жыл бұрын
Your explanation is awesome...thank you so much ...A great teacher for a lifetime...
@markkennedy976710 ай бұрын
Thanks for this. Great lesson. As you say, creating multiple bars seems extraordinarily hacky. I would have thought this would be easily dealt with by a plotting library
@muzaianghanem56444 жыл бұрын
That's true......you are an amazing teacher. This was very helpful
@androkranjcevic19883 жыл бұрын
Really nice work over here, the most important man on youtube for me.
@redferne015 жыл бұрын
Thank you for your work. I enjoy every lesson.
@luiscesar_agais2 жыл бұрын
Very nice your explanations. Congratulations.
@LashaGoch3 жыл бұрын
This is gold! Thank you very much for doing this, you have incredible talent to explain complicated stuff in an easy manner, keep up good work :)))
@eliesawan95133 жыл бұрын
you are amazing, waiting for your data science ( ML, AI ) course...... THANKS A LOT!
@Lucas-wn5wm2 жыл бұрын
I jus found the python legend . Thank god
@KC-rl8ub5 жыл бұрын
hi Corey....god bless you
@niceday20153 жыл бұрын
for i in range(1,365): print("Thank you very much")
@edcoughlan57425 жыл бұрын
These videos are great! Coming from R (and ggplot) I was a tad skeptical that Python could emulate R when it came to data viz, but I stand corrected.
@kabongontumba94923 жыл бұрын
You're right
@Linshark3 жыл бұрын
I just came across this series of videos. They are extremely good :-)
@brucegwon4 жыл бұрын
This is the best fantastic lecture for the relation of Python and Pandas I've ever seen!!!!!!!!!!!!!! Xie Xie!!!
@SandeepChaudhary-vx9zy4 жыл бұрын
Great explanation...thanks a lot Corey sir
@ronaldjohnson44705 жыл бұрын
Corey, I went back to the documentation, and changed by code to ax=plt.subplot() ax.set_xticks(x_indexes) ax.set_xticklabels(ages_x) It worked, but I received a message : MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance. warnings.warn(message, mplDeprecation, stacklevel=1)
@KumarGauravhi3 жыл бұрын
Hi Corey, thank you for the wonderful session , I have stuck at this point with the last example :-import csv import numpy as np import pandas as pd from collections import Counter from matplotlib import pyplot as plt plt.style.use("fivethirtyeight") data = pd.read_csv('data.csv') ids = data['Responder_id'] lang_responses = data['LanguagesWorkedWith'] language_counter = Counter() for response in lang_responses: language_counter.update(response.split(';')) languages = [] popularity = [] for item in language_counter.most_common(15): languages.append(item[0]) popularity.append(item[1]) languages.reverse() popularity.reverse() plt.barh(languages, popularity) plt.title("Most Popular Languages") # plt.ylabel("Programming Languages") plt.xlabel("Number of People Who Use") plt.tight_layout() plt.show() ### I am getting an error like AttributeError: 'float' object has no attribute 'split' ...Please explain..
@Coney_island232 жыл бұрын
thank you!!!! you ar an excellent teacher
@oscar.kiamba Жыл бұрын
The best in you tube .👏
@franklinlima25714 жыл бұрын
Great video! Thank you man
@mamathakavety6529 Жыл бұрын
Please do a tutorial on numpy as well, it would be super helpful, by the way awesome content😁
@AbubakerMahmoudshangab2 жыл бұрын
Corey. Million thanks bro
@jsceo5 жыл бұрын
that feel when I paused tutorial to figure out how to extract languages and popularity from language_counter and later it turns out that you've done that exactly in the same way, lol
@akashdeepchauhan53 жыл бұрын
You're making machine learning interesting, thank you
@hayetchekired4623 жыл бұрын
great instructor
@fourdaysdead5 жыл бұрын
thank you very much, very clear and straight to the point!
@frankconte24575 жыл бұрын
Another great tutorial. Thank you. However, using a Jupyter Notebook, I am having a problem with plt.bar, plt.barh. The error I receive is "unsupported operand type(s) for -: 'str' and 'float'.
@thebuggser27529 ай бұрын
Another great video. Thanks!!
@abhishek_raj3 жыл бұрын
You explain things really well, kudos!
@shreddersengupta73844 жыл бұрын
we can also use the dictionary's keys() and values() for getting x and y axis. x_axis = list(dict.keys())
@Eric-ii4vj3 жыл бұрын
you can just use : plt.barh(list(reversed(df['language'])),list(reversed(df['popularity'])))
@minghaotao62595 жыл бұрын
Thank you for sharing your knowledge!
@adirbarak52564 жыл бұрын
for unpacking counter.most_common(x) you can use: for a,b in counter.most_common(x) or for a,b in counter.items(): cause they are the same, they are a list of tuples, which is "zipped" already = meaning you can iterate of it simultaneously (a is tuple[0]. b is tuple[1]) I hope it helps you, yea you out there.
@PaoloCondo Жыл бұрын
Thank you for the series of video! :)
@kerimabdul22634 жыл бұрын
great video.
@alexanderten54975 жыл бұрын
Thank you very much.its a great tutorial as always
@chandansarkar11235 жыл бұрын
We can not thank you enough..still thanks a ton Corey. I have an interesting observation @9.48. In the plt.xticks(...) method when I use the ticks and labels keywords it gives me AttributeError. It works when I pass the arguments without using keywords. Perhaps it has something to do with my Matplotlib version...
@nikhiledu75565 жыл бұрын
Same happened with me
@asas-jf5iz4 жыл бұрын
yes, some old version matplotlib will have this problem.
@kabongontumba94923 жыл бұрын
Thank you guy, I had the same problem
@questscape4 жыл бұрын
For PANDAS folks:- import pandas as pd from collections import Counter df = pd.read_csv('data.csv', index_col=['Responder_id']) language_counter = Counter() for response in df['LanguagesWorkedWith']: language_counter.update(response.split(';'))
@abhishek_raj3 жыл бұрын
just a suggestion for people with large samples, Use seaborn style, this 538 gets screwed when number of labels is more.
@FerdinandCoding4 жыл бұрын
thank you for python tutorial
@DeepakKumar-uz4xy5 жыл бұрын
thank you professor. love from india. u know what i dont like to read those documentation. when i saw your videos.
@lillyclive26414 жыл бұрын
Such a great help, thankyou so much!
@DidaKusAlex2 жыл бұрын
great tutorial! the best!! thanks for teaching us!
@rnytpl3 жыл бұрын
Thank you man, appreciate the effort and time you've put in creating such amazing content as these.
@guyindisguise4 жыл бұрын
At 9:30 you correct the numbers of the x-axis with plt.xticks() Couldn't we just have circumvented that problem by saying x_indexes = np.array(ages_x) instead of x_indexes = np.arange(len(ages_x)) Since that would have given us an array with the original numbers that we could add/subtract the width to/from? Is there any benefit to the plt.xticks() solution (other than seeing how xticks work)?
@johannesherbert49434 жыл бұрын
I thought the exact same thing, why is he making his life more complicated than necessary? There is no problem with adding/subtracting offsets directly from the ages np.array, it just works. It makes it less hacky, too.
@tongliu10764 жыл бұрын
Great video as always! Really helpful for detailed explanation.
@johnjones56594 жыл бұрын
Thanks you and Brilliant
@shazkingdom17025 жыл бұрын
This is the best Corey; Thank you very much from my 🧠 and ❣
@rajivswargiary15365 жыл бұрын
Great tutorial sir
@rahulp19853 жыл бұрын
How to have the percentage values also listed along the Y-axis with language names as shown in the plot in the stackoverflow website (towards the end of the video)
@VishalSharma-rn7mt4 жыл бұрын
Great, amazing video
@Martin-ij2fp3 жыл бұрын
Great video!
@hatemsabrey4 жыл бұрын
Corey, my online teacher, where is the counter video ??? million thanks for your efforts
@randiarisman24194 жыл бұрын
Another great video form you, Corey. Thank you, you made my day everyday!!
@OT-tn7ci2 жыл бұрын
it might be a better idea to reverse the list of tuples inside the for loop or before that hehe. Also thanks for pointing out the inline zip function, its much easier for my eyes. Thanks a lot
@timeforrice4 жыл бұрын
could you do more videos about data cleaning? Thank you and I love your blog.