Re:A Gentle Visual Intro to Data Analysis in Python Using Pa...
by laichzeit0 on Thursday November 01, 2018 @10:58AM
(#18354473)
Make sure you learn what a Series is and how it relates to the things in the DataFrame and how selection works, specifically .loc and .iloc. Then your life will be much easier. Try starting with this article: https://medium.com/dunder-data/selecting-subsets-of-data-in-...
Re:A Gentle Visual Intro to Data Analysis in Python Using Pa...
by rchaud on Thursday November 01, 2018 @11:18AM
(#18354739)
10,000 data points is well within the range of what Excel can handle without needing PowerQuery. What type of analyses are you attempting?
Re:A Gentle Visual Intro to Data Analysis in Python Using Pa...
by istjohn on Thursday November 01, 2018 @07:09PM
(#18359299)
Linear optimization and generating some simple graphs. I would like to be able to at least generate the graphs automatically from my database.
Re:A Gentle Visual Intro to Data Analysis in Python Using Pa...
by wenc on Thursday November 01, 2018 @08:44PM
(#18359846)
> Linear optimization
Did you mean linear regression? Linear optimization isn't a use case that Pandas covers, but there are other tools that I can recommend.
In contrast, while I'm not an expert in JS or Python, I find that time spent struggling with those technologies pays dividends since the lessons learned make everything I do in the future easier.
This is highly subjective of course, but in your opinion, should I keep fighting with Pandas? Is it worth it?