Комментарии:
The tutorial is very well structured and easy to learn. This has helped me so much! Liked!
Ответитьgood
Ответитьthat was very cool and organized and simple to learn .thank you for this
Ответитьthis course was wonderful !💙
ОтветитьLove IT love IT, lOVE It. Great explanation and straight to the point. thank you so much.
ОтветитьI'm here after Edureka. Simplilearn Pandas tutorial is better than Edureka.
ОтветитьIt was informative, enjoyed a lot. But one request can you please share those codes what you did there? It might help us for reference
ОтветитьIs it possible to get the ipynb notebook that this video describes about the whole pandas tutorial. It would be really helpful.
ОтветитьTutorial is very clear and understandable... Thank you 👍
Ответитьpython is such a easy and convenient powerful tool compared with c++
ОтветитьWhat a great tutorial!! Thank you!! Is there any pdf or any written reference for this video by any chance? It would be so helpful. Thanks.
Ответитьhey i dont know why i cant get those graphs when i use my jupyter notebook its showing some error and i actually use jupyter notebook from vscode does that effect??? and the rest the video was soo good thank you
Ответитьa clear explained super pandas tutorial.thanks a lot
ОтветитьIf we have 4 columns like [week, fruits, vegetables, flowers], how to create a dataframe like df['fruits'] where week==36
ОтветитьBest and most clear videos about basics for pandas dataframe
Ответитьsimplilearn is one of my best tutorials videos ever .. Thank you
ОтветитьDidn't quite understand the shift function can you elaborate it more
ОтветитьVery effective training
Ответитьi wanna know about UI developer course from urs
Ответитьcan i get this ipynb file????????????????????????????????????????????????????//
ОтветитьExcellent!!! I am first time learning the Panda and you explained it very well. Thanks
ОтветитьI liked your video
ОтветитьExcellent course.....Thankyou.
ОтветитьNameError Traceback (most recent call last)
<ipython-input-53-25144473d6b7> in <module>
----> 1 s6 = pd.Series(arr1)
2 s6
NameError: name 'arr1' is not defined
it showing not defined? may I know what it is
Focus was terrible...
Ответитьhow to replace all values in column with NAN
ОтветитьGreat video...
I apriciate it
Very helpful! You really need to get a mic tho.
Ответитьvery nice tutorial ,well explained
ОтветитьBest tutorial on pandas..was looking for such a tutorial only :):):)
ОтветитьThnx a lot
ОтветитьSir how to give path to read csv files?
pd.read_csv()??
I was giving path as below but it was too long so I was getting error
what should I do?
df = pd.read_csv("C:\Users\Dell Pc\Desktop\Kamar@\Atos syntel study\Training\Python for Data Analysis L1/dataloan.csv")
Hi great video. You say around 48 min mark that you've played around with stock market dataframes, do you have any videos on that. Thanks
Ответитьnumpee :(
ОтветитьGreat tutorial! Very helpful indeed
ОтветитьCan you provide me the file that you use to teach please?
Ответитьhelpful but expected better sound quality!!
ОтветитьAmazing and nicely explained video. I have one question, where do I keep any csv file for pandas to read? I have Jupyter running in my laptop but I am not sure where do I keep any csv file which is downloaded from internet. Kindly help.
Ответитьthe irony of talking about streamlining dataframe file operations but then using the mouse for every operation in the notebook :D
Ответитьhow to plot between every column to a specific column. Suppose i have 5 columns, A, B, C, D, E and i wanna write code to get a plot for A and E, B and E, C and E and D and E.
ОтветитьSir if I import excel sheet in jupyter notebook than suppose in one column a particular data is repeated n times than is there any function to count how many times data is repeated?
Ответитьgreat video!
Ответитьso simple to learn with you thanks
Ответитьhow to install pandas
ОтветитьSuper
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