I have a dictionary within a dictionary.
{123: {1,2,3,4,5,6,7,8,9,10},
567: {1,5,10,11, 12, 20,25}}
Imagine 123 and 567 as club numbers and 1,2,3,4,5,6,7,8,9,10 as item numbers.
I have a Pandas data frame with all the club numbers and item numbers. [uploaded an excel sheet]
I want to drop all the items from the corresponding club number from this dataframe.
My excel sheet 2 shows the result I want.
Hello,
I've complete MS Software Engineering. I've 5-Year experience in Core Python development.
My Core Skills are Machine Learning and AI - Deep Learning - Tensorflow - Pytorch - OpenCV - Deep Learning - Data Analysis K-mean - ID3 - Bayesian theorem - confusion matrix
I'm excited with feeling that I would be able to satisfy your requirements Within Deadline. Please leave a message on my chat so we can discuss the project.
Thank.
Nice to meet you. I have read your post carefully.
I have enough experience in this field what you want.
I would like to discuss with you via chat.
I am willing to help you.
Please check my main skills:
• Python(Machine Learning, Deep Learning, web scraping, Flask, Django etc)
• Image Processing(OpenCV)
• Unity 3d/2d Game(C#)
• C, C#, C++programming.
• Java
Hi, I have rich experiencein python numpy.
I have completed many jos with python numpy.
I can do this project perfectly.
If you hire me, you will get good result.
Let's disucss via chat.
Regards!
Hello,
I'm Kholoud, I'm an engineer with experience in programming using python, pandas.
I have experience in dealin with dictionaries.
I would like to work with you on your project, I hope to start working with you soon.
Thanks for your time
Best Regards