I have a custom type ParType.Parjm and two DataFrames,temp and DF, where
the elements are of this type:
typeof(temp[:A])
DataArrays.DataArray{ParType.Parjm,1}
and
typeof(DF[:A])
DataArrays.DataArray{ParType.Parjm,1}
However, the following comparison returns false.
typeof(temp[:A]) == ty
All elements of temp and DF are of type ParType.Parjm so I don't think
there is any mixing going on in terms of different types within :A of each
variable
On Monday, October 3, 2016 at 5:45:55 AM UTC-4, Kristoffer Carlsson wrote:
>
> The int value "1" is an Int32 in one case and an Int64 in ano
offer. It's possible the Int values
> themselves are of distinct types; note for instance
>
> julia> Array{Int, Int32(1)}
> Array{Int64,1}
>
> julia> Array{Int, 1}
> Array{Int64,1}
>
> julia> Array{Int, Int32(1)} == Array{Int, 1}
> false
>
>
>
&g
Is there a way to make the yaxis and/or the xaxis limits uniform across
subplots in Plots.jl?
For example, given the code:
using Plots
gr()
p1 = Plots.plot([1, 2, 4])
p2 = Plots.plot([1,5,10,3])
Plots.plot(p1,p2,layout=(1,2))
The hope would be to substitute something along the lines of
Plots.p
When I call:
using Plots
plotlyjs()
plot(
xlims = (0,2),
xscale = :log10,
)
I get a plot where the xaxis is log scale and ranges from 1 to 100, as I
would expect. However, if I call:
plot(
xlims = (-3,2),
xscale = :log10,
)
I do not get a plot where the xaxis is log scale and ranges from 0.00
gt; I'll look into it.
>
> On Wed, Oct 12, 2016 at 2:13 PM, r5823 >
> wrote:
>
>> Is there a way to make the yaxis and/or the xaxis limits uniform across
>> subplots in Plots.jl?
>>
>> For example, given the code:
>>
>> using Plots
>> gr
Works great for gr and pyplot backends, but still trouble with plotlyjs
On Wednesday, October 12, 2016 at 2:53:19 PM UTC-4, Tom Breloff wrote:
>
> This should be fixed on master now. Just add "link = :all" to your
> original example.
>
> On Wed, Oct 12, 2016 at
If I call,
plot(layer(x=c1, y=c2,Stat.x_jitter,Geom.point),
layer(x=c1, y=c2,Geom.boxplot))
I successfully generate a plot showing jittered data points overlaid on top
of a boxplot. If I remove the boxplot layer and call,
plot(layer(x=c1, y=c2,Stat.x_jitter,Geom.point))
I get the following err
