for k in range(c):
t=254/(c)*(k)
color=r,s,t
rgbcolors.append(color)
hexcolor=[]
for i in rgbcolors:
hexcolor.append('#%02x%02x%02x' % i)
return hexcolor
polygon=[(gbox[0],gbox[2]),(gbox[0],gbox[3]),(gbox[1],gbox[3]),(gbox[1],gbox[2])] #set polygon
if id==[]:
time,ids,lats,lons=getobs_drift_byrange(gbox,input_time)
mymap = basemap_xu.maps(np.mean(lats), np.mean(lons), 12) #set center point of the map
id=list(set(ids))
colors=hexcolors(len(id)) #get hex colors,like '00FF00'
for k in range(len(id)):
time,ids,lat,lon=getobs_drift_byid(id[k],input_time) # get data by id
for z in range(len(lat)): # make plotting drifter start in gbox
inside=point_in_poly(lon[z],lat[z],polygon)
if inside == True:
break
if z>1:
lat=lat[0:z-1] #get rid of drifters which start from the polygon
lon=lon[0:z-1]
time=time[0:z-1]
path=[] #set path, point
for i in range(len(lat)):
path.append((lat[i],lon[i]))
#mymap.addpoint(lat[i],lon[i],colors[k])
title='id:'+str(id[k])+' time on this point:'+time[0].strftime('%d-%m-%Y %H:%M')
#title='id:'+str(id[k])+'\n starttime'+time[0].strftime('%d-%m-%Y %H:%M')
mymap.addpoint(lat[0],lon[0], colors[k],title) #plot them
gbox=[-70.0,-72.0,42.0,40.0] # maxlon, minlon,maxlat,minlat
id=[135410701] # id list, if you are not clear dedicated id, let id=[]
'125450842''125450841'
#↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑Input values↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑↑#
f = open(str(gbox[3])+'.dat', 'w') # create file and name it
f.writelines('id'+' '+'lat '+' lon '+' time'+' \n')
if id==[]:
time,ids,lat,lon=getobs_drift_byrange(gbox,input_time) #get and organize data
for k in range(len(ids)): # write them
f.writelines(str(ids[k])+' '+'%10.2f' % lat[k]+' '+'%10.2f' % lon[k]+' '+' '\
+str(time[k].strftime('%Y-%m-%d %H:%M:%S'))+'\n')
else:
for q in range(len(id)):
time,ids,lat,lon=getobs_drift_byid(id[q],input_time) #get and organize data
for k in range(len(ids)): #write them
f.writelines(str(ids[k])+' '+'%10.2f' % lat[k]+' '+'%10.2f' % lon[k]+' '+' '\
+str(time[k].strftime('%Y-%m-%d %H:%M:%S'))+'\n')
f.close()
'''
fig = plt.figure()
ax = fig.add_subplot(111)
plt.title(str(time[0].strftime("%d-%b-%Y %H"))+'h')
lat_wanted=lat[-1]
lon_wanted=lon[-1]
plt.plot(lon_wanted,lat_wanted,'.',markersize=30,color='r',label='end')
path=[]
for i in range(len(lat)):
path.append((lat[i],lon[i]))
mymap.addpoint(lat[i],lon[i],'black')
#mymap.addradpoint(drifter_data[lat][0],drifter_data[1][0], 95, "#FF0000","my-location")
mymap.addradpoint(lat[0],lon[0], 295, "red")
mymap.addradpoint(lat[-1],lon[-1], 295, "blue")
mymap.addpath(path,rgbcolors[k])#00FF00
#mymap.coloricon
#mymap.getcycle
#mymap.zoom
#mymap.setgrids(37.42, 43.43, 0.1, -70.15, -60.14, 0.1)
else:
rgbcolors=colors(len(id))
for m in range(len(id)):
time,ids,lat,lon=getobs_drift_byid(id[m],input_time)
mymap = pygmaps.maps(np.mean(lat), np.mean(lon), 12)
path=[]
for i in range(len(lat)):
path.append((lat[i],lon[i]))
#mymap.addpoint(lat[i],lon[i],'black')
#mymap.addradpoint(drifter_data[lat][0],drifter_data[1][0], 95, "#FF0000","my-location")
mymap.addradpoint(lat[0],lon[0], 295, "red")
mymap.addradpoint(lat[-1],lon[-1], 295, "blue")
mymap.addpath(path,[50, 50, 0.0])#00FF00
mymap.draw('./mymap.html')
plot_getsst(ask_input,utc,sorted(gbox)) # get sst data and polt it
if id==[]:
time,ids,lats,lons=getobs_drift_byrange(gbox,input_time)
id=list(set(ids))
rgbcolors=colors(len(id)) # set different colors to different drifter
for k in range(len(id)):
time,ids,lat_d,lon_d=getobs_drift_byidrange(id[k],gbox,input_time) #get drifters' data
plt.plot(lon_d[0],lat_d[0],'.',markersize=30,color=rgbcolors[k+1],label=str(id[k]))
plt.plot(np.reshape(lon_d,np.size(lon_d)),np.reshape(lat_d,np.size(lat_d)),color=rgbcolors[k+1]) #plot
else:
lats,lons=[],[]
rgbcolors=colors(len(id)) # set different colors to different drifter
for m in range(len(id)):
time,ids,lat_d,lon_d=getobs_drift_byid(id[m],input_time) #get drifters' data by id
plt.plot(lon_d[0],lat_d[0],'.',markersize=30,color=rgbcolors[m+1],label=str(id[m]))
plt.plot(np.reshape(lon_d,np.size(lon_d)),np.reshape(lat_d,np.size(lat_d)),color=rgbcolors[m+1])
for n in range(len(lat_d)):
lats.append(lat_d[n])
lons.append(lon_d[n])
plt.title(str(time[0].strftime("%d-%b-%Y %H"))+'h')
pylab.ylim([sorted(gbox)[2]+0.01,sorted(gbox)[3]-0.01]) # set range area .
pylab.xlim([sorted(gbox)[0]+0.01,sorted(gbox)[1]-0.01])
#pylab.ylim([min(lats)-(max(lats)-min(lats))/6.0,max(lats)+(max(lats)-min(lats))/6.0])
#pylab.xlim([min(lons)-(max(lons)-min(lons))/6.0,max(lons)+(max(lons)-min(lons))/6.0])
#ax.patch.set_facecolor('lightblue') #set background color
bathy=True
region='wv' # set basemap