Jeff - I think the way GMT does it would be okay - they have a latitude of true scale, which I usually choose as the center latitude of the map.

I was thinking we should allow people to choose the "simple" or "fancy" options. Do you think it will be okay to have the height of the bar and the text offset be relative to the length of it? I suppose if the height becomes a problem, people could use the yoffset keyword...

--Mike
On Mar 4, 2008, at 6:05 AM, Jeff Whitaker wrote:

Michael Hearne wrote:
Jeff - That would replicate the "simple" scale-bar from GMT. Below is my not-complete attempt at replicating the "fancy" scale bar. It would need some options for specifying different units (miles, nautical miles, etc.) and perhaps some more attention to spacing of the text from the scale bar and tick marks...

--Mike

Mike: Very nice! Do you want the scale to show the true distance on the earth (in which case the labels will vary depending on where the label is placed), or the distance in map projection coordinates (in which case the labels are constant)? Or perhaps a lat/lon value could be given to specify where the scale is true?

-Jeff

from numpy import *
from matplotlib.toolkits.basemap import Basemap, pyproj
from pylab import *
# add drawscale method to Basemap class.
class Basemap2(Basemap):
   def drawscale(self,lon,lat,length,yoffset=None):
       """draw a fancy map scale from lon-length/2,lat-yoffset to
lon-length/2,lat-yoffset, label it with actual distance in km"""
       length = length*1000 #input length is km

       #we need 5 sets of x coordinates (in map units)
       #center of scale
       xc,yc = self(lon,lat)
       #left edge of scale
       lon1,lat1 = self(xc-length/2,yc,inverse=True)
       x1,y1 = self(lon1,lat1)
       #quarter scale
       lon2,lat2 = self(xc-length/4,yc,inverse=True)
       x2,y2 = self(lon2,lat2)
       #three quarter scale
       lon3,lat3 = self(xc+length/4,yc,inverse=True)
       x3,y3 = self(lon3,lat3)
       #right edge of scale
       lon4,lat4 = self(xc+length/2,yc,inverse=True)
       x4,y4 = self(lon4,lat4)
              if yoffset is None: yoffset = 0.1*length

       #plot top line
       ytop = yc+yoffset/2
       ybottom = yc-yoffset/2
       ytick = ybottom - yoffset/2
       ytext = ytick - yoffset/2
       m.plot([x1,x4],[ytop,ytop],color='k')
       #plot bottom line
       m.plot([x1,x4],[ybottom,ybottom],color='k')
       #plot left edge
       m.plot([x1,x1],[ybottom,ytop],color='k')
       #plot right edge
       m.plot([x4,x4],[ybottom,ytop],color='k')

       #make a filled black box from left edge to 1/4 way across
       fill([x1,x2,x2,x1,x1],[ytop,ytop,ybottom,ybottom,ytop],'k')
       #make a filled white box from 1/4 way across to 1/2 way across
       fill([x2,xc,xc,x2,x2],[ytop,ytop,ybottom,ybottom,ytop],'w')
       #make a filled white box from 1/2 way across to 3/4 way across
       fill([xc,x3,x3,xc,xc],[ytop,ytop,ybottom,ybottom,ytop],'k')
       #make a filled white box from 3/4 way across to end
       fill([x3,x4,x4,x3,x3],[ytop,ytop,ybottom,ybottom,ytop],'w')
              #plot 3 tick marks at left edge, center, and right edge
       m.plot([x1,x1],[ytick,ybottom],color='k')
       m.plot([xc,xc],[ytick,ybottom],color='k')
       m.plot([x4,x4],[ytick,ybottom],color='k')

       #label 3 tick marks
       text(x1,ytext,'%d' % (0),\
   horizontalalignment='center',\
   verticalalignment='top',\
   fontsize=9)
       text(xc,ytext,'%d' % (round((length/2)/1000)),\
   horizontalalignment='center',\
   verticalalignment='top',\
   fontsize=9)
       text(x4,ytext,'%d' % (round((length)/1000)),\
   horizontalalignment='center',\
   verticalalignment='top',\
   fontsize=9)

       #put units on top
       text(xc,ytop+yoffset/2,'km',\
   horizontalalignment='center',\
   verticalalignment='bottom',\
   fontsize=9)

# setup of basemap ('lcc' = lambert conformal conic).
# use major and minor sphere radii from WGS84 ellipsoid.
m = Basemap2 (llcrnrlon=-145.5,llcrnrlat=1.,urcrnrlon=-2.566,urcrnrlat=46.352,\
     rsphere=(6378137.00,6356752.3142),\
     resolution='l',area_thresh=1000.,projection='lcc',\
     lat_1=50.,lon_0=-107.)
# draw coastlines and political boundaries.
m.drawcoastlines()
m.fillcontinents()
# draw parallels and meridians.
# label on left, right and bottom of map.
m.drawparallels(arange(0.,80,20.),labels=[1,1,0,1])
m.drawmeridians(arange(10.,360.,30.),labels=[1,1,0,1])
# draw a line from x1,y to x2,y and label it with distance in km.
length = 3000 #kilometers
x1,y1 = 0.25*m.xmax, 0.25*m.ymax
lon1,lat1 = m(x1,y1,inverse=True)
m.drawscale(lon1,lat1,length)
title('a fancy map scale')
show()




------------------------------------------------------
Michael Hearne
[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
------------------------------------------------------




--
Jeffrey S. Whitaker         Phone : (303)497-6313
NOAA/OAR/CDC  R/PSD1        FAX   : (303)497-6449
325 Broadway                Boulder, CO, USA 80305-3328




------------------------------------------------------
Michael Hearne
[EMAIL PROTECTED]
(303) 273-8620
USGS National Earthquake Information Center
1711 Illinois St. Golden CO 80401
Senior Software Engineer
Synergetics, Inc.
------------------------------------------------------


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