Hi Hussen,
This is not a native capability of PyFerret. However there is a
script that is used for plots which color track data according to
time, so that a dataset which represents a set of ship tracks or
other trajectory data can be plotted, showing time along the
tracks. Here is a screenshot showing such a plot.

! Define a 2-dimensional variable just for this example, with units of
! time in "days since 1-jan-2020". You will use your time variable, with
! its units defined using this form, and the units and origin from your data.
DEFINE AXIS/X=20:30:0.5/UNITS=degrees_east xaxis
DEFINE AXIS/Y=-10:10:0.5/UNITS=degrees_north yaxis
LET/UNITS="days since 1-jan-2020" my_time = 10*RANDU(i[gx=xaxis]) + 15*RANDU(j[gy=yaxis])
! Define a viewport which leaves extra space to the right of the plot for the date labels
DEFINE VIEWPORT/X=0:0.8/Y=0:1 xyview
SET VIEW xyview
! Define the 1-dimensonal list of time data to send to the color_datekey.jnl script.
! Define the time_origin attribute.
LET/UNITS="days since 1-jan-2020" time_list = TSEQUENCE(my_time)
DEFINE ATTRIBUTE time_list.time_origin = "01-jan-2020"
! Draw the 2-dimensional plot. This will be the underlay plot. We will re-draw it
SHADE/NOKEY my_time
! with the /overlay qualifier when making the date-labeled color key.
! Now re-draw using /OVERLAY/SET and call the color_datekey script
SHADE/OVER/KEY/SET my_time
GO color_datekey "v" time_list
PPL SHADE/OVER
Dear Ferreters,
I have a netcdf file containing the rainfall onset dates for a specific rainfall season. The onset dates are calculated using a different tool. I would like to produce the spatial maps of the onset dates in pyferret (similar to the attached map), but am having difficulties in labeling the dates in the legend.
Does anyone know how this is done?
Thanks in advanceHussen........................................................................................................................
Hussen Seid Endris (PhD)
CLIMATE MODELING EXPERT
IGAD Climate Prediction and Applications Centre (ICPAC)
Ngong Town Kibiko A Road, Near KIHBT
P.O.Box 10304-00100, Nairobi, Kenya
T: +254 792 532 851 Skype: hussen.seid1_1
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