#
#  File:
#    ngl11p.py
#
#  Synopsis:
#    Produces a contour plot with separate scales and an XY plot.
#
#  Categories:
#    Contouring
#    XY plots
#    Processing
#
#  Author:
#    Fred Clare (based on a code of Mary Haley)
#  
#  Date of initial publication:
#    September, 2005
#
#  Description:
#    Reads from an ASCII file, sets multiple tickmark values and draws
#    a contour plot with separate scales on the left and right of
#    the plot.  Draws an XY plot.
#
#  Effects illustrated:
#    o  Setting many tickmark resource values.
#    o  Adding a cyclic point.
#    o  Reading from an ASCII file.
# 
#  Output:
#    This example produces two visualizations:
#      o  A contour plot with separate scales on either side of the plot.
#      o  An XY plot.
#
#  Notes:
#     

#
#  Import numpy.
#
from __future__ import print_function
import numpy
import os

#
#  Import NGL support functions.
#
import Ngl

#
#  Open a workstation.
#
wks_type = "png"
wks = Ngl.open_wks(wks_type,"ngl11p")

dirc     = Ngl.pynglpath("data")
data     = Ngl.asciiread(os.path.join(dirc,
                                      "asc",
                                      "u.cocos"),
                         (39,14),
                         "float")

pressure  = data[:,0]    # First column of data is pressure (mb).
height    = data[:,1]    # Second column is height (km).
u         = data[:,2:14] # Rest of columns are climatological zonal winds
                           # (u: m/s)
unew = Ngl.add_cyclic(u)  # Add cyclic points to u.

#----------- Begin first plot -----------------------------------------

resources = Ngl.Resources()

resources.tiMainString   = "~F26~Cocos Island"   # Main title.
resources.tiYAxisString  = "~F25~Pressure (mb)"  # Y axes label.

resources.sfYCStartV = float(max(pressure))   # Indicate start and end of left
resources.sfYCEndV   = float(min(pressure))   # Y axes values.

resources.trYReverse  = True    # Reverse the Y values.
resources.trYLog      = True    # Use log scale.

resources.tmXBMode      = "Explicit"   # Define your own tick mark labels.
resources.tmXBLabelFont = "times-roman"  # Change font of labels.
resources.tmXBLabelFontHeightF = 0.015 # Change font height of labels.
resources.tmXBMinorOn   = False        # No minor tick marks.
resources.tmXBValues    = list(range(0,13,1)) # Location to put tick mark labels
                                         # (13 points with January repeated).
resources.tmXBLabels    = ["Jan","Feb","Mar","Apr","May","Jun",\
                           "Jul","Aug","Sep","Oct","Nov","Dec","Jan"]

resources.tmYUseLeft    = False      # Keep right axis independent of left.
resources.tmYRLabelsOn  = True       # Turn on right axis labels.
resources.tmYRLabelFont = "times-roman"   # Change font of labels.
resources.tmYROn        = True       # Turn on right axis tick marks.
resources.tmYRMinorOn   = False      # No minor tick marks.

resources.tmYRMode      = "Explicit"  # Define own tick mark labels.
hnice = list(range(0,23,2))                 # Set range of "nice" height values.
pnice = Ngl.ftcurv(height,pressure,hnice) # Calculate "nice" pressure values.
resources.tmYRValues    = pnice       # At each "nice" pressure value,
resources.tmYRLabels    = hnice       # put a "height" value label.

resources.tmYLMode      = "Explicit" # Define own tick mark labels.
resources.tmYLLabelFont = "times-roman"  # Change the font.
resources.tmYLValues    = [1000.,  800., 700., 500., 400., 300., \
                               250.,  200., 150., 100.,  50.]
resources.tmYLLabels    = ["1000","800","700","500","400","300", \
                               "250","200","150","100", "50"]
resources.tmYLMinorOn   = False        # No minor tick marks.

resources.cnFillOn          = True  # Turn on contour level fill.
resources.cnMonoFillColor   = True  # Use one fill color.
resources.cnMonoFillPattern = False # Use multiple fill patterns.

resources.cnLineLabelAngleF = 0. # Draw contour line labels right-side up.
resources.cnLevelSpacingF   = 1.0

resources.nglDraw  = False  # Don't draw the plot or advance the
resources.nglFrame = False  # frame in the call to Ngl.contour.

resources.nglMaximize = False
resources.pmLabelBarDisplayMode = "Never"    # Turn off label bar.
contour = Ngl.contour(wks, unew, resources)  # Create a contour plot.

levels = Ngl.get_float_array(contour,"cnLevels")

patterns = numpy.zeros((len(levels)+1),'i')
patterns[:] = -1

for i in range(len(levels)):
  if (levels[i] <= -6.):
    patterns[i] = 5
  else:
    if (levels[i] > 0.):
      patterns[i] = 17.
patterns[-1]  = 17 # last pattern

rlist = Ngl.Resources()
rlist.cnFillPatterns = patterns
rlist.cnFillScaleF = 0.8
Ngl.set_values(contour,rlist)

Ngl.draw(contour)  # Draw the contour plot.

txres               = Ngl.Resources()    # Annotate plot with some text.
txres.txFontHeightF = 0.015
Ngl.text_ndc(wks,"~F25~U Component",  .270,.815,txres)
Ngl.text_ndc(wks,"~F25~(m-s~S~-1~N~)",.765,.815,txres)


txres.txFontHeightF = 0.025   # Label right Y axis.
txres.txAngleF      = 90.
Ngl.text_ndc(wks,"~F25~Height (km)",.89,.5,txres)

Ngl.frame(wks) # Advance the frame.

#----------- Begin second plot -----------------------------------------

del resources 
resources = Ngl.Resources()

resources.tiMainString  = "~F26~Cocos Island"
resources.tiXAxisString = "~F25~Month"
resources.tiYAxisString = "~F25~Amplitude (m/s)"

resources.tmXBMode      = "Explicit"   # Define your own tick mark labels.
resources.tmXBLabelFont = "times-roman"   # Change font of labels.
resources.tmXBLabelFontHeightF = 0.015 # Change font height of labels.
resources.tmXBMinorOn   = False        # No minor tick marks.
resources.tmXBValues    = list(range(0,13,1))# Values from 0 to 12.
resources.tmXBLabels    = ["Jan","Feb","Mar","Apr","May","Jun",\
                           "Jul","Aug","Sep","Oct","Nov","Dec","Jan"]
resources.tmYLLabelFont = "times-roman"  # Change the font.

xy = Ngl.xy(wks,list(range(0,13,1)),unew,resources) # Create and draw an XY plot.

Ngl.end()