I was happy when you got the error with skip_rows and you showed us how to search for methods and debug your code. Amazing videos. Thanks a ton for teaching us :D
your video tutorials are packed with soo much stuff....its like small packet but big explosion!! ..thank you so much for sharing ur valuable knowledge and experiences with us !!
First of all, this the best tutorial I have seen on python and secondly you mention something else where people might have question in that topic. You answered all my questions when you are teaching. YOU ARE THE BEST!
Dear Sir, I truly appreciate your teaching style: always clear, straight to the point, and thorough enough to cover the logics behind each task! I also like how you break things down to simple terms using plain English so that IT challenged people like me can easily understand! I will stay tuned to your TH-cam channel while continuing to learn python! Best Regards👍
Your tutorials are best....thank u...learnt a lot from ur videos ....have subscribed your channel.. waiting for tutorials on other python modules like sklearn nltk keras
This video contains content: 1) How to change anything from the start (df.read(.....)) and also using functions in python. 2) When saving an excel file, how to change the column and row according to ours. 3) When saving to excel file we can save it in sheet.
Sir the series is a great one to learn. But it would be great if you could have hosted the required dataset elsewhere or in a different repe. I had to clone to entire repo which had other things. So now I am doing copy and pasting csv in raw format from github!
sir truly appreciate your teaching style and clear explanation. please suggest if my code is correct for excel value replacement (similar to csv value replacement for 'nan', instead of using the functions.plz sugget df = pd.read_excel("stock_data.xlsx","Sheet1", na_values = {'people':['-1','not applicable'],'eps':['-1','na']}) df
I want to take a moment and Thank you for all your efforts. I am in the beginning stages of learning Python and it has been very confusing. Your detailed tutorials are super helpful and I am learning a lot, taking notes! Bless You!
Hi jananibalaji, how are you? I'm in the stage where u were mentioned. Have u got ur job in Python or Data Science? If so I want big tips of real-time environment from u which will help me lot in understanding python much better and knowing the real world of python. could u help me in this? I believe that u know well about the huge difference between studying things and real world of things. Thank u
UnicodeDecodeError: 'utf-8' codec can't decode bytes in position 0-1: invalid continuation byte , how to fix this error please reply , im getting this error while reading the csv file via pandas , pandas.read_csv("file.xlsx")
if you are getting "UnicodeDecodeError" try reading with below: data = pd.read_csv('file_name.csv', encoding='utf-8') and the other different encoding types are: encoding = "cp1252" encoding = "ISO-8859-1" Hope this helps !!
Converters functions is changing sam walton on every n.a. value in PEOPLE it doesn't checks for TICKERS . I put -1 on 1st row having tickers as google also changed to sam walton(changes larry page)
Dhaval, pls help. I have a CSV file which has to be read. Using read_csv. Sample of CSV 32324, 12000, C 1A328, 25000, C MG024, 11111, C 5201, 25, C First column has both numeric and alpha numeric eg, 32324,5201 is numeric whereas MG024 is alphanumeric. While converting pd converts 32324 as '32324' and '5201'. I want it to be converted as 32324 and 5201 and 'MG024'.
Hello , Your lectures are very good . can you tell me how to convert a column containing numbers (numbers are str type) into int or float.Also the numbers are having commas in between eg- "1,283" , "5,432"
I need to read the DB and import to CSV file and need to compare the Imported two files and the report should be like Sheet 1 should hold the mismatched values with highlighting red colour for the values mismatched and sheet 2 and sheet 3 should be the imported file used to compare
Thank you so much for the great tutorial. Can you please post some videos on how to convert CAN database file to CSV using Python? I am looking for that solutions using pandas. Thank you.
Hello Code Basics, I'm following your pandas tutorial. To follow this video, how can i download the csv/excel files that you are working in the video. I mean i could see it in your gitbub page, but how to download it. Do i have to have Github account for that? Very nice explanation. Im finding it useful
I am following the exact same steps as you followed except the extension xlsx instead of csv. Still the program is showing error. Does it has to do anything with the office product activation??
After creating a two dataframe content into same excel file in different sheet we can't remove our inedex please sir can you help me how to remove our index of different sheet in same excel file
I cannot convert my revenue column from Minus One( -1) to NaN with this code, while eps and people works fine- import pandas as pd df = pd.read_excel("E:\\DataScience\\CodeBasics\\weather_data.xlsx",sheet_name="stock_data",na_values={ 'eps': ["not available", "n.a."], 'revenue': ["not available", "n.a.",-1], 'people': ["not available","n.a."]
Thanks for this video and i have one question suppose we have 50 records in an excel file and we want to read every 10th record of it and store in extra excel Sheet so how can we do this.
Definitely one of the best Pandas tutorial that I've found on internet. However, I got a bit confused when you called the converter function inside a dictionary and didn't use any arguments whereas the function had converters(cell) as argument. How did that work? Thanks!
Thanks for the tutorial. However, i guess converter compares only a string, not the numbers. I've been trying to play with conditional statements and it hits errors. Following is my code which didn't work: TypeError: '>' not supported between instances of 'str' and 'int' Here is my code: def convert_price_cell(cell): if cell > 1023: return 'Too much price' return 'Affordable' def convert_revenue_cell(cell): if cell == "-1": return "Too low" return cell df = pd.read_excel("panda_excel.xlsx", "Sheet1", converters = {'people': convert_people_cell, 'eps': convert_eps_cell, 'tickers': convert_tickers_cell, 'price': convert_price_cell, 'revenue': convert_revenue_cell})
Hello, thanks for the tutorial. I'm a beginner in python and currently working on Silicon thin film fabrication. I'm facing an issue with writing a python code for it. Can you please tell me how can I go about it? I have data points from my experiments (about 1000 cells in excel), I want to input these excel cells into python, assign them to variables (one at a time), and solve equations and output the solution to a new excel cell. Once this is completed, I want the code to accept the second input from excel and again repeat this process. I was thinking about a for loop counter. If you can direct me to the correct web resources, that would be great! Thanks a bunch!
Sir, I am trying to read the excel file but I am not able to do it....My file name is 'student.xlsx'.....i wrote : df=pd.read_excel('student.xlsx') df But, it is showing error which is: FileNotFoundError: [ Errno 2] No such file or directory: ' student.xlsx' Sir, plz figure out my problem bcoz it is creating an obstacle for me to proceed with pandas ????
I am a data engineer. Now you will ask me what is the difference between the three :) Well I have a video on explaining the difference between these 3 roles.
Hi Boss, Need your attention , may be i am doing wrong something here I created a Dataframe Name age weights Price location aman 10 77 100 Krishna Nagar meeti 20 888 222 n.a bani -2 22 33 tilak toni not available 60 123 nagar Lovely 7.5 -2 n.a Krishna import pandas as pd df=pd.read_excel("Day4_CB.xlsx",na_values={"age":["not available","n.a"], "weights":["not available","n.a",-2], "Price":["not available","n.a"], "location":["not available","n.a"]}) print(df) I am trying to replace -2 with na - but changes are not happening but when you tried with -1 in your video it was all good. Can you help here - any suggestions. Regards,
Maybe 6 or 7 mins in and you have helped me out already, thanks. Not sure if I have posted a comment before but your pace and diction are greatly appreciated, content is clear and to the point, again thank you. Stay healthy and safe.
sir, i m following your AI engineer roadmap form for the last 3 months and the first time got struck at a point. After creating a new column, I could not understand the to_csv function and found no amendment in my csv file. Can you please help me through this.
10:00 na_values :scalar, str, list-like, or dict, default None na_values does not take int object, as shown in pandas documentation. How come -1 changed to NaN. My 0 is not changing in this manner?
I need to know whether this can be automated or not: I get one raw data details on excel sheet on mail with attachment, this attached excel sheet gets automatically downloaded to certain location and then macro runs on that excel file as per schedule and then that excel sheet is send to several email addresses as per schedule without human intervention? What is required to do this automation?
while performing this tutorial some error encountered as FileNotFoundError something like that how to solve this type of error ??? suggest me solution for that
Check out our premium machine learning course with 2 Industry projects: codebasics.io/courses/machine-learning-for-data-science-beginners-to-advanced
Ur vids are great but in pandas I cud not bring my csv excel file into pandas. Syntax error or kernel not connected or other big red lines
This is by far the best series on Pandas which I've came across till date. Thanks sir for making things look this easy.
I was happy when you got the error with skip_rows and you showed us how to search for methods and debug your code. Amazing videos. Thanks a ton for teaching us :D
after visiting many platform and youtube videos, I am learning actual thing in a practical way.
By far the best series of videos you would ever find. Thanks.
R u from VIT, vellore?
Showing how you resolve errors is the most important for us like you did as skip_rows.
This is the best pandas tutorial so far!
I am glad it was helpful
got clear idea about data_frame and read_csv() - thank you
one thing: your voice and english all matches to M. S. Dhoni.
can't believe that these videos was made in 2017. still so much helpful and easy to understand
I am happy this was helpful to you.
your video tutorials are packed with soo much stuff....its like small packet but big explosion!! ..thank you so much for sharing ur valuable knowledge and experiences with us !!
"Small package but big explosion" love that analogy adarsh ❤️ Thanks 😊
Thank you for this great tutorial. Just getting started with pandas and your video's are a fantastic help :)
Very clear explanation with examples. Quick tutorial to learn Panda use in Python. Excellent job.
Mohan I am happy to help buddy :)
Thank you. I love you work. You make the process simple, clear, direct.
Fanchihk, thanks for sharing a valuable feedback 👍
First of all, this the best tutorial I have seen on python and secondly you mention something else where people might have question in that topic. You answered all my questions when you are teaching. YOU ARE THE BEST!
What are you doing currently?
Thanks a lot. I was unable to import data in jupyter. Your video really helped me.
Ultimate for spreadsheet automations users.
Thanks for this tutorial and requesting to make some videos related to styling of cells.
Abdul I am glad you found this to be useful 👍
Every tutorial getting me excited. A best tutorial of pandas.
Happy to hear that!
Thanks for the videos, everything is so clear. Really love them
Happy to hear that!
Step by step roadmap to learn data science in 6 months: th-cam.com/video/H4YcqULY1-Q/w-d-xo.html
InstaBlaster.
Great. Contact number please
Fantastic Videos. Covered all necessary functionalities with maximum ease. Thanks a lot :-)
Great videos! There are many details I didn't know about pandas. Thx for the effort. Waiting for further videos :)
Dear Sir, I truly appreciate your teaching style: always clear, straight to the point, and thorough enough to cover the logics behind each task! I also like how you break things down to simple terms using plain English so that IT challenged people like me can easily understand! I will stay tuned to your TH-cam channel while continuing to learn python! Best Regards👍
Scottie thanks for the detailed feedback buddy. It was certainly useful 😊👍
How to learn coding for beginners | Learn coding for free: th-cam.com/video/CptrlyD0LJ8/w-d-xo.html
best tutorials on pandas :) thanks
Love your videos on Python and Pandas. Keep up the good work
Keep slaying
Your tutorials are best....thank u...learnt a lot from ur videos ....have subscribed your channel.. waiting for tutorials on other python modules like sklearn nltk keras
For sklearn I already have a full series. Check it out on my channel it's called machine learning tutorials
Thank you for this great tutorial. it's Awesome......which I found very helpful.
Priyadarsini, I am glad you liked it
superb teaching sir
Thanks a lot for your kind works Sri Shanth. Stay in touch for more videos and share our channel if you really find it worth.
This video contains content:
1) How to change anything from the start (df.read(.....)) and also using functions in python.
2) When saving an excel file, how to change the column and row according to ours.
3) When saving to excel file we can save it in sheet.
Great thanks for the excellent tutorial!
👍😊
Phenomenal Videos Sir!!!
One doubt how to create new data sheet in the same excel file
‘Those who know, do. Those that understand, teach.’ -Aristotle
thank you very much sir for your effort .
Another great quote Rohan 👏👏👏
ur my teacher sir ... thank you sooo much
Glad to be your teacher sri 😊🙏
Excellent tutorial.
Wonderful class! I've just found your channel.
Thank you!
Sir the series is a great one to learn. But it would be great if you could have hosted the required dataset elsewhere or in a different repe. I had to clone to entire repo which had other things. So now I am doing copy and pasting csv in raw format from github!
sir truly appreciate your teaching style and clear explanation. please suggest if my code is correct for excel value replacement (similar to csv value replacement for 'nan', instead of using the functions.plz sugget
df = pd.read_excel("stock_data.xlsx","Sheet1",
na_values = {'people':['-1','not applicable'],'eps':['-1','na']})
df
I want to take a moment and Thank you for all your efforts. I am in the beginning stages of learning Python and it has been very confusing. Your detailed tutorials are super helpful and I am learning a lot, taking notes! Bless You!
Best of luck!
Hi jananibalaji, how are you? I'm in the stage where u were mentioned. Have u got ur job in Python or Data Science? If so I want big tips of real-time environment from u which will help me lot in understanding python much better and knowing the real world of python. could u help me in this? I believe that u know well about the huge difference between studying things and real world of things. Thank u
Nice Video and explained very nicely. it helped me to resolve one of my problem.
I am happy this was helpful to you.
Instead of puttin -1 in the na_values to remove from revenue column, is there a way to give an argument which says if less than 0 then NaN ?
Very nice works. Thank you for your efforts.
Very nice detail explanation.
UnicodeDecodeError: 'utf-8' codec can't decode bytes in position 0-1: invalid continuation byte , how to fix this error please reply , im getting this error while reading the csv file via pandas , pandas.read_csv("file.xlsx")
File type is of "xlsx"
Change it to "*.csv"
@@vedparkash4182 thanks working🔥
if you are getting "UnicodeDecodeError"
try reading with below:
data = pd.read_csv('file_name.csv', encoding='utf-8')
and the other different encoding types are:
encoding = "cp1252"
encoding = "ISO-8859-1"
Hope this helps !!
thanks a lot
Great Explanation,Thanks sir !
For the Excel reading/writing I had to pip install openpyxl. That threw me a little but otherwise the video was very helpful, thanks lots! :-)
Glad it helped!
hello sir , thank you this videos are really helpful for us. i am using na_values but it is not working in my dataframe how to fix this
Very useful tips, thanks!
Converters functions is changing sam walton on every n.a. value in PEOPLE it doesn't checks for TICKERS . I put -1 on 1st row having tickers as google also changed to sam walton(changes larry page)
Dhaval, pls help. I have a CSV file which has to be read. Using read_csv. Sample of CSV
32324, 12000, C
1A328, 25000, C
MG024, 11111, C
5201, 25, C
First column has both numeric and alpha numeric eg, 32324,5201 is numeric whereas MG024 is alphanumeric.
While converting pd converts 32324 as '32324' and '5201'. I want it to be converted as 32324 and 5201 and 'MG024'.
amazing work seriously
Hello , Your lectures are very good . can you tell me how to convert a column containing numbers (numbers are str type) into int or float.Also the numbers are having commas in between eg- "1,283" , "5,432"
I need to read the DB and import to CSV file and need to compare the Imported two files and the report should be like Sheet 1 should hold the mismatched values with highlighting red colour for the values mismatched and sheet 2 and sheet 3 should be the imported file used to compare
Thank you for this video
superb sir!!
Thank you so much sir , OSU !
This is the best tutorial on Pandas I've seen so far. Thanks for putting this together.
I can't stop myself to keep learning Pandas by watching this series ... this is the best ...
Totally agree mate
Agree -better than any others I have watched and I have watched a lot.
Hi..all your pandas tutorial videos are very helpful. Can we get tutorial videos for numpy, matplotlib, ggplot.
Thanks in Advance
Thank you so much for the great tutorial. Can you please post some videos on how to convert CAN database file to CSV using Python? I am looking for that solutions using pandas. Thank you.
have u gotten the answer?
in case in People column if there n.a values (WMT, RIL) then how to fill those peoples by condition ?
Ok,Thank you! I will upgrade.
Thank you, instructor, to make the videos. Love your voice.
Glad, you liked it
Hello Code Basics, I'm following your pandas tutorial. To follow this video, how can i download the csv/excel files that you are working in the video. I mean i could see it in your gitbub page, but how to download it. Do i have to have Github account for that? Very nice explanation. Im finding it useful
Janako go to room directory (py) and there you will see a green button for cloning the repo or download the code and CSV files as zip file
@@codebasics yes got it. Thanks. Now I'm good to go. Love your tutorials
I am following the exact same steps as you followed except the extension xlsx instead of csv. Still the program is showing error. Does it has to do anything with the office product activation??
After creating a two dataframe content into same excel file in different sheet we can't remove our inedex please sir can you help me how to remove our index of different sheet in same excel file
how to change converted csv file's position of rows and columns
You can watch mine too. The channel has both Python and R playlists, and you can find link to source files in video description.
can you please correct the error made at 20:41 you wrote pd.to_excel but later on you corrected that. Thanks
I cannot convert my revenue column from Minus One( -1) to NaN with this code, while eps and people works fine-
import pandas as pd
df = pd.read_excel("E:\\DataScience\\CodeBasics\\weather_data.xlsx",sheet_name="stock_data",na_values={
'eps': ["not available", "n.a."],
'revenue': ["not available", "n.a.",-1],
'people': ["not available","n.a."]
})
df
Your videos are really nice.
I'm just lazy
Don't think you are lazy himanshu. Just tell to your self I am proactive and I can do it. That mental assurance is very very powerful, trust me !
Thanks for this video and i have one question suppose we have 50 records in an excel file and we want to read every 10th record of it and store in extra excel Sheet so how can we do this.
df[::10]
use above slicing
how to downliad that csv file
Definitely one of the best Pandas tutorial that I've found on internet. However, I got a bit confused when you called the converter function inside a dictionary and didn't use any arguments whereas the function had converters(cell) as argument. How did that work? Thanks!
name 'file.csv' is not defined
..
how can i solve that problem???
see also great vid for organizing and parsing, indexing .csv: th-cam.com/video/E_iY_qTJ7Is/w-d-xo.html
This class is a gem ♥♥♥
Thanks for the tutorial. However, i guess converter compares only a string, not the numbers. I've been trying to play with conditional statements and it hits errors. Following is my code which didn't work:
TypeError: '>' not supported between instances of 'str' and 'int'
Here is my code:
def convert_price_cell(cell):
if cell > 1023:
return 'Too much price'
return 'Affordable'
def convert_revenue_cell(cell):
if cell == "-1":
return "Too low"
return cell
df = pd.read_excel("panda_excel.xlsx", "Sheet1", converters =
{'people': convert_people_cell,
'eps': convert_eps_cell,
'tickers': convert_tickers_cell,
'price': convert_price_cell,
'revenue': convert_revenue_cell})
❤❤❤❤nice
Hello, thanks for the tutorial. I'm a beginner in python and currently working on Silicon thin film fabrication. I'm facing an issue with writing a python code for it. Can you please tell me how can I go about it?
I have data points from my experiments (about 1000 cells in excel), I want to input these excel cells into python, assign them to variables (one at a time), and solve equations and output the solution to a new excel cell.
Once this is completed, I want the code to accept the second input from excel and again repeat this process.
I was thinking about a for loop counter. If you can direct me to the correct web resources, that would be great!
Thanks a bunch!
just do
for i,j in zip(value list, variable list):
i = j
Sir, I am trying to read the excel file but I am not able to do it....My file name is 'student.xlsx'.....i wrote :
df=pd.read_excel('student.xlsx')
df
But, it is showing error which is:
FileNotFoundError: [ Errno 2] No such file or directory: ' student.xlsx'
Sir, plz figure out my problem bcoz it is creating an obstacle for me to proceed with pandas ????
For Excel files it shud b pd.ExcelFile("filename or location.xlsx)
Is your file under root directory of Python ?
Videos are just perfect. I just wanna know are you a data scientist or analyst.
I am a data engineer. Now you will ask me what is the difference between the three :) Well I have a video on explaining the difference between these 3 roles.
@@codebasics data engineer sounds like king of data oriented IT jobs. Keep it up.
Thank u sir! subscribed
Why are you running Localhost to run Python ? You can use VSCode.
Thanks
i have a doubt in this video.plz explain me,why the statement is df=pd.read_csv("stock_data.csv"), we use only excel file.will you plz explain.
if we have two table csv in one page, how to separate these into two separate table CVS file?
AttributeError: module 'pandas' has no attribute 'to_excel'
Hi Boss,
Need your attention , may be i am doing wrong something here
I created a Dataframe
Name age weights Price location
aman 10 77 100 Krishna Nagar
meeti 20 888 222 n.a
bani -2 22 33 tilak
toni not available 60 123 nagar
Lovely 7.5 -2 n.a Krishna
import pandas as pd
df=pd.read_excel("Day4_CB.xlsx",na_values={"age":["not available","n.a"],
"weights":["not available","n.a",-2],
"Price":["not available","n.a"],
"location":["not available","n.a"]})
print(df)
I am trying to replace -2 with na - but changes are not happening but when you tried with -1 in your video it was all good.
Can you help here - any suggestions.
Regards,
Maybe 6 or 7 mins in and you have helped me out already, thanks. Not sure if I have posted a comment before but your pace and diction are greatly appreciated, content is clear and to the point, again thank you. Stay healthy and safe.
Sir, what is UnicodeDecodeError while reading excel files in jupyter notebook?
sir, i m following your AI engineer roadmap form for the last 3 months and the first time got struck at a point. After creating a new column, I could not understand the to_csv function and found no amendment in my csv file. Can you please help me through this.
where is your csv file stored in pc???
coz m getting an error of file not found.
Much appreciated video content .Thanx :)
codebasics thanx buddy😁
codebasics sir how we can give the absolute path, sir please help me
whereever the csv be located , just after opening your notebook go to upload and then from browse go to location your file is located and upload it !!
@Nirav.Raval Mtech2018 Thanks so much..
If you have got the Answer plz write it here.
Hi I downloaded your csv files and kept in download folder. When i try to run this tutorial in jupyter, it could not find the file. I am a beginner in python. Your advice will greatly help me. I copied and pasted the whole thing. Please help. Thanks.
import pandas as pd
df = pd.read_csv("stock_data.csv")
df
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
in
1 import pandas as pd
----> 2 df = pd.read_csv("stock_data.csv")
3 df
~\Anaconda3\lib\site-packages\pandas\io\parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
683 )
684
--> 685 return _read(filepath_or_buffer, kwds)
686
687 parser_f.__name__ = name
~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
455
456 # Create the parser.
--> 457 parser = TextFileReader(fp_or_buf, **kwds)
458
459 if chunksize or iterator:
~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, f, engine, **kwds)
893 self.options["has_index_names"] = kwds["has_index_names"]
894
--> 895 self._make_engine(self.engine)
896
897 def close(self):
~\Anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine)
1133 def _make_engine(self, engine="c"):
1134 if engine == "c":
-> 1135 self._engine = CParserWrapper(self.f, **self.options)
1136 else:
1137 if engine == "python":
~\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, src, **kwds)
1915 kwds["usecols"] = self.usecols
1916
-> 1917 self._reader = parsers.TextReader(src, **kwds)
1918 self.unnamed_cols = self._reader.unnamed_cols
1919
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()
pandas\_libs\parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()
FileNotFoundError: [Errno 2] File b'stock_data.csv' does not exist: b'stock_data.csv'
sir, not working for me, what should i need to install, please help...
i cannot read any file or do anything, error occurs..
using jupyter notebook...
10:00
na_values :scalar, str, list-like, or dict, default None
na_values does not take int object, as shown in pandas documentation.
How come -1 changed to NaN.
My 0 is not changing in this manner?
I need to know whether this can be automated or not: I get one raw data details on excel sheet on mail with attachment, this attached excel sheet gets automatically downloaded to certain location and then macro runs on that excel file as per schedule and then that excel sheet is send to several email addresses as per schedule without human intervention? What is required to do this automation?
while performing this tutorial some error encountered as FileNotFoundError something like that how to solve this type of error ??? suggest me solution for that
Error no such file or dictionary: :'file name'. Y I'm giving correctly but every time it's error?
My excel file is in the same directory as of jupyter notebook but I'm getting filenotfound error
How to almost 65csv files into single excel file , those 65 CSV in each sheet of the excel file in databricks