A small python snippet that does roughly what I want is below.
I'm using asymmetric data to remind myself whether to transpose the matrix
or not.
Thanks for your help.
from matplotlib import pyplot as plt
from matplotlib.colors import LogNorm
import numpy as np
import sys
xaxis = np.linspace(1, 20, 101)
yaxis = np.linspace(2, 5, 101)
data = np.zeros((100, 100))
for x in range(100):
for y in range(100):
data[x,y] = xaxis[x] + yaxis[y]
X, Y = np.meshgrid(xaxis, yaxis)
# I can figure out how to make this figure in Julia
#p = plt.pcolormesh(X, Y, data.T)
# This is what I would like instead
p = plt.pcolormesh(X, Y, data.T, norm=LogNorm(vmin=np.min(data), vmax=np.max
(data)))
plt.colorbar(p)
plt.savefig("test.png")
On Sunday, September 20, 2015 at 8:54:26 PM UTC-7, Tom Breloff wrote:
>
> Yes you should probably use `collect`.
>
> With regards to plotting... can you post the pyplot code that generates
> the graph that you want? We may be able to either show you how to do it in
> julia, or it will help in future development by pinpointing a deficiency.
> Thanks.
>
> On Sun, Sep 20, 2015 at 11:11 PM, Jan Strube <[email protected]
> <javascript:>> wrote:
>
>> I'm trying to write some data and axis definitions to HDF5 for later
>> plotting in pyplot. (Because I haven't figured out how to do lognorm on
>> pcolormesh in PyPlot.jl)
>> Writing the data - a 2D array - is no problem.
>> Writing the axes - linspace(min, max, 100) - doesn't work, because I just
>> found out that linspace creates a LinSpace object, not an array, and HDF5
>> doesn't know how to write that.
>> My question is: What is an idiomatic way to turn LinSpace into an Array?
>> Is collect the recommended way to do this?
>>
>>
>
