That's it! It should help with translating more things as well. It hadn't
crossed my mind that I could access matplotlib in this manner.
# Julia 0.3.2
# 27.11.2014
using PyPlot
using Dates
# Create Data
dt = Millisecond(100)
time = [DateTime(2014,11,20):dt:DateTime(2014,11,22)]
y = fill!(Array(Float64,length(time)),42)
#y = floor(100*rand(length(time))) # Fails unless the time span is very
short
font1 = ["fontname"=>"Sans","style"=>"normal"]
time2 = float64(time)/1000/60/60/24 # Convert time from milliseconds from
day 0 to days from day 0
timespan = "\n" * Dates.format(minimum(time),"yyyy-mm-dd HH:MM:SS") * " - "
* Dates.format(maximum(time),"yyyy-mm-dd HH:MM:SS")
majorformatter = matplotlib[:dates][:DateFormatter]("%d.%m.%Y")
minorformatter = matplotlib[:dates][:DateFormatter]("%H:%M")
majorlocator = matplotlib[:dates][:DayLocator](interval=1)
minorlocator = matplotlib[:dates][:HourLocator](byhour=(8, 16))
# Plot
fig = figure("Test Plot",figsize=(16,10)) # Create a figure and save the
handle
ax1 = axes()
p1 = plot_date(time2,y,linestyle="-",marker="None",label="test")
axis("tight")
title("Random Data Against Time\n" * timespan)
grid("on")
xlabel("Time")
ylabel("Stuff",fontdict=font1)
ax1[:xaxis][:set_major_formatter](majorformatter)
ax1[:xaxis][:set_minor_formatter](minorformatter)
ax1[:xaxis][:set_major_locator](majorlocator)
ax1[:xaxis][:set_minor_locator](minorlocator)
fig[:autofmt_xdate](bottom=0.2,rotation=30,ha="right")
fig[:canvas][:draw]() # Update the figure
PyPlot.tight_layout()
