Show HN: DataFart - easy command line graphing
datafart.com
datafart.com
But with that name I couldn't even recommend it to a number of people I can think of in my professional circle.
So I'm not seeing any problem here.
"Why not?" Because, for example, if you decide you really want to work with frickin' lasers, that may be more important to you than working at a place where clowns are appreciated in all their glory.
I suppose if the target audience of this application is "st0p", then you'd be correct. The rest of us don't necessarily get the luxury of choosing what sort of sense of humor our employers have.
Outside that, the number of decent opportunities you'll get as a developer will be too low for you to be picky.
I'm also occasionally aware of how others build their concept of me. If someone had known me for years and I recommended this service, I can't imagine it would make any difference.
If we'd had only incidental interactions, this could easily remain the first thing that pops into their head when they think of me in the future. I worked once in the same company as a talented designer who told a hilarious but quite scatalogical story at lunch one day. That's still the main thing that pops into my head when I think of him. I don't know that it'd stop me from recommending or hiring him, but it remains a significant part of how he's defined in my head.
I'm not sure if this makes me seem like a wet blanket, or overparanoid -- my real point is that I have quite a few different filters, and for most parts of my professional life "fart" doesn't make it past at all.
You can perfectly be unpolite trying to be humorous with this kind of joke.
The easy joke is not necessarily polite and is usually unintelligent: so it is a way of telling the other part "look, laugh at this silly thing" when actually one ought to be able to say "look, laugh at this intelligent joke".
But as I saw it first I didn't notice the similarity to the German words. I somehow thought it's a reference to South Park ;)
import pandas
from pylab import *
d = pandas.read_csv(sys.argv[1])
plot(d[d.columns[0]], d[d.columns[1]])
xlabel(d.columns[0])
xlabel(d.columns[1])
show()
That'll just pop up a window displaying the graph. With 2-3 extra lines of code and more than 30 seconds of effort, I'm sure it would be easy to upload to imgur.Example output: http://i.imgur.com/m7ooj.png
I have definitely wasted an hour in vain trying to install that correctly on an old Mac mini.
Edit: And there's not even a straightforward way of saving the graph...it's not a real image. Do I save it as a webpage? That's inconvenient for embedding it elsewhere. Do I screenshot it? That's cumbersome...
Will have to play around with it...still trying to find that perfect line between lightweight and convenient
Is there any such thing?
I'm not sure what rendering it in Node.js/D3 buys you on top of that.
cat myfile.csv | sed 's/,/ /g' | curl --data-binary @- datafart.com
<myfile.csv sed 's/,/ /g' | ...one https, and one make-private-ability please! :P
Nice project.