You might try something like:
majorformatter = matplotlib[:dates][:DateFormatter]("%m/%d")
minorformatter = matplotlib[:dates][:DateFormatter]("%H:%M")
majorlocator = matplotlib[:dates][:DayLocator](interval=1)
minorlocator = matplotlib[:dates][:HourLocator](byhour=(8, 16))
ax1[:xaxis][:set_major_formatter](majorformatter)
ax1[:xaxis][:set_minor_formatter](minorformatter)
ax1[:xaxis][:set_major_locator](majorlocator)
ax1[:xaxis][:set_minor_locator](minorlocator)
See an example here:
http://matplotlib.org/examples/pylab_examples/date_demo2.html
Nat
On Wednesday, November 26, 2014 8:38:43 AM UTC-5, RecentConvert wrote:
>
> using PyPlot
> using Dates
>
> # Create Data
> dt = Millisecond(200)
> time = [DateTime(2014,11,20):dt:DateTime(2014,11,24)]
> y = fill!(Array(Float64,length(time)),42)
> #y = floor(100*rand(length(time))) # Causes error: "OverflowError:
> Allocated too many blocks"
>
> font1 = ["fontname"=>"Sans","style"=>"normal"]
> time = float64(time)/1000/60/60/24 # Convert time from milliseconds from
> day 0 to days from day 0
>
> # Plot
> fig = figure("Test Plot",figsize=(16,10)) # Create a figure and save the
> handle
> ax1 = axes()
> p1 = plot_date(time,y,linestyle="-",marker="None",label="test")
> axis("tight")
> title("Random Data Against Time\n" * timespan)
> grid("on")
> xlabel("Time")
> ylabel("Stuff",fontdict=font1)
> fig[:autofmt_xdate](bottom=0.2,rotation=30,ha="right")
> fig[:canvas][:draw]() # Update the figure
> PyPlot.tight_layout()
>
> It would be much easier to have midnight be the date and every 4, 6, or 8
> hours be time of day. I would be happy with just the dates part though.
>
