Hello Julia-users,
I can currently create PlotlyJS plots in Atom/Juno. However, the only way
I know of creating publishing a plot is to use display(my_plot). This
always generates a new plot window. How do I send new plots to the same
plot window? Where is the documentation I can read that
r return values (the last line in the do-block) gets concatenated
>>>> together to form the final result. The code I really wanted to write is:
>>>>
>>>> using RDatasets
>>>> df = dataset("datasets", "iris")
>>>> # Fo
ne can provide a more elegant solution. `sub_df` a
> SubDataFrame, and those objects can neither have a new column nor be
> converted to DataFrame.
>
> On Tuesday, May 3, 2016 at 4:22:29 PM UTC-4, Ben Southwood wrote:
>>
>> I have the following dataframe with values of the for
I have the following dataframe with values of the form
date1,label1,qty1_1
date2,label1,qty1_2
date3,label1,qty1_3
dateN,label1,qty1_N
date1,label2,qty2_1
date2,label2,qty2_2
date3,label2,qty2_3
dateN,label2,qty1_N
I would like to cumulative sum the qtys such that the value of
;
>>> >
>>> >
>>> > sexta-feira, 29 de Abril de 2016 às 14:03:52 UTC+1, Stefan Karpinski
>>> > escreveu:
>>> >>
>>> >> I'll answer with a pair of questions:
>>> >>
>>> >> what range of dates can you r
I really like the functional style of Julia as I primarily code in OCaml.
One of the cool optional features of the OCaml compiler is that if you
define a function and a variable is unused, the compiler will complain that
you have a variable that was never used. I'm surprised how many bugs
Are there any packages that can handle "Unix style" times? How come Julia
can only handle seconds in 0.4.5 and milliseconds in 0.5 (unstable)?
Shouldn't we just aim big and go all the way to nanos?
For example, it would be great if I could handle the following times.
2015-12-11
