R and pandas and what I've learned about each
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R and pandas and what I've learned about each
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Re: R and pandas and what I've learned about each
#2Interesting analysis, but it would really benefit from a section about data.table. For me and many others, data.table has almost completely replaced data.frame (of which data.table is a subclass) and completely replaced plyr. The speed and ease of use of data.table are much more favorably comparable with pandas than the R tools mentioned here.
Re: R and pandas and what I've learned about each
#3Learning data mining this semester and find it useful. Thanks!
Re: R and pandas and what I've learned about each
#4That's useful. Hadn't really looked at Pandas before.
Slightly OT:
I'm using in-memory sqlite3 with rtree to find objects within bounds in a 2D space. Is there a different library people would recommend for this in Python?
Re: R and pandas and what I've learned about each
#5I like Pandas and I'd like to move to Python for my data analysis. Python is a beautiful language I can use for many other purposes than just data analysis. I find it more readable and self-documenting than R.
Nonetheless I use R, ggplot2 is excellent and its graphs are better looking than matplotlib. I really like R Markdown for intermingling R and Markdown in your code. I suppose Ipython is the python equivalent. R especially shines with its numerous libraries.
Anyway, for every project I debate whether to use R or Python, perhaps I should look into rmagic/rpy2 for iPython as a go between.
Re: R and pandas and what I've learned about each
#6I like Pandas and I'd like to move to Python for my data analysis. Python is a beautiful language I can use for many other purposes than just data analysis. I find it more readable and self-documenting than R. Nonetheless I use R, ggplot2 is excellent and its graphs are better looking than matplotlib. I really like R Markdown for intermingling R and Markdown in your code. I suppose Ipython is the python equivalent. R…
Take a look at https://github.com/ContinuumIO/Bokeh
It's a project to create a ggplot equivalent for python. It's still quite beta and not feature complete, but it's under active development by a company working in the python data analysis field and definitely worth a look.
Re: R and pandas and what I've learned about each
#7Interesting analysis, but it would really benefit from a section about data.table. For me and many others, data.table has almost completely replaced data.frame (of which data.table is a subclass) and completely replaced plyr. The speed and ease of use of data.table are much more favorably comparable with pandas than the R tools mentioned here.
If your use case fits data.table then you probably want to use pytables in python. It's much faster than pandas when dealing with very large data sets, at the cost of some features you may or may not need.
Re: R and pandas and what I've learned about each
#8Interesting analysis, but it would really benefit from a section about data.table. For me and many others, data.table has almost completely replaced data.frame (of which data.table is a subclass) and completely replaced plyr. The speed and ease of use of data.table are much more favorably comparable with pandas than the R tools mentioned here.
If your use case fits data.table then you probably want to use pytables in python. It's much faster than pandas when dealing with very large data sets, at the cost of some features you may or may not need.
The benefits from data.table are not as much processing very large data (anything above 10M observations is mostly outside of R's comfort zone on a reasonable machine, anyway), as much as the ease of performing operations such as indexed joins, aggregations, and so on.
Re: R and pandas and what I've learned about each
#9I like Pandas and I'd like to move to Python for my data analysis. Python is a beautiful language I can use for many other purposes than just data analysis. I find it more readable and self-documenting than R. Nonetheless I use R, ggplot2 is excellent and its graphs are better looking than matplotlib. I really like R Markdown for intermingling R and Markdown in your code. I suppose Ipython is the python equivalent. R…
Take a look at https://github.com/ContinuumIO/Bokeh It's a project to create a ggplot equivalent for python. It's still quite beta and not feature complete, but it's under active development by a company working in the python data analysis field and definitely worth a look.
Very cool. I'd love to see ggplot grammar come to Python, so i'm excited to check this out.
I found this link on porting ggplot2 styles into python, but it doesn't focus on grammar. http://tonysyu.github.com/mpltools/auto_examples/style/plot_...
Re: R and pandas and what I've learned about each
#10Interesting analysis, but it would really benefit from a section about data.table. For me and many others, data.table has almost completely replaced data.frame (of which data.table is a subclass) and completely replaced plyr. The speed and ease of use of data.table are much more favorably comparable with pandas than the R tools mentioned here.
Comparisons with data.table on performance are much more favorable than with vanilla R or plyr; a lot of progress has been made last couple years, too. I personally find the data.table syntax to be a bit obtuse at times but it's a great library.