def MapasCD_Imshow(data,
lat,
lon,
lat_down,
lat_up,
lon_left,
long_right,
name,
titulo,
cmap,
dt,
dmes,
levels='Nada'):
plt.close('all')
fig = plt.figure(figsize=(14, 18))
for i in range(0, 12):
ax = fig.add_subplot(4, 3, i + 1)
ax.set_title(dmes[i], fontsize=18)
m = Basemap(projection='merc',
llcrnrlat=lat_down,
urcrnrlat=lat_up,
llcrnrlon=lon_left,
urcrnrlon=lon_right,
resolution='i',
lat_ts=20)
m.readshapefile(shape,
name='AreaMetropolitana',
color='k',
linewidth=1.5)
cs = m.imshow(data[i], cmap=cmap)
parallels = np.arange(lat_down, lat_up + 1, 0.3)
m.drawparallels(parallels, labels=[1, 0, 0, 0], fontsize=10)
meridians = np.arange(lon_left, long_right + 1, 0.3)
m.drawmeridians(meridians, labels=[0, 0, 0, 1], fontsize=10)
plt.subplots_adjust(left=0.125,
bottom=0.085,
right=0.9,
top=0.95,
wspace=0.35,
hspace=0.07)
cbar_ax = fig.add_axes([0.125, 0.05, 0.78, 0.015])
cbar = fig.colorbar(cs,
cax=cbar_ax,
orientation='horizontal',
format="%.2f")
cbar.set_label(titulo, fontproperties=prop, fontsize=20)
plt.savefig(Path_Save + name + '.png', format='png')
os.system(
'scp ' + Path_Save + name +
'.png [email protected]:/var/www/nacorreasa/Graficas_Resultados/Estudio'
)
def drawmap(self): lllon,urlon,lllat,urlat=self.source_dim m = Basemap(lllon,lllat,urlon,urlat,projection='merc',resolution='l') m.drawmapboundary(fill_color='aqua') # fill continents, set lake color same as ocean color. m.drawcoastlines() m.fillcontinents(color='coral',lake_color='aqua') if urlon - lllon < 2.5: dlon = 0.5 elif urlon - lllon < 5.: dlon =1.0 else: dlon = 2. m.drawparallels(np.arange(-90.,90.,1.0),labels=[1,0,0,0]) m.drawmeridians(np.arange(-180.,180.,dlon),labels=[0,0,0,1]) return m
def vizInterp(nLons, nLats, ufunct, vfunct, files):
'''Creates a visualization of the interpolation function
nLons: list of mesh node logitudes
nLats: list of mesh node latitudes
uFunct: interpolation function of interpolated current u component magnitudes at each mesh node
vFunct: interpolation function of interpolated current v component magnitudes at each mesh node
files: list of file input names and directories for data retreival.
'''
iModule = np.sqrt(ufunct**2 + vfunct**2) * 1.94384
m = Basemap(llcrnrlon=-100.,
llcrnrlat=0.,
urcrnrlon=30.,
urcrnrlat=70,
projection='merc',
resolution='l')
x, y = m(np.array(nLons), np.array(nLats))
print x[:10]
print y[:10]
print iModule.squeeze()[:10]
#print len(iModule.squeeze())
#print len(x)
sys.exit()
m.drawcoastlines()
#m.fillcontinents(color='coral',lake_color='white')
m.drawparallels(np.arange(0., 81., 20.),
labels=[True, False, False, False])
m.drawmeridians(np.arange(-180., 181., 20.),
labels=[False, False, False, True])
#m.drawmapboundary(fill_color='aqua')
m.pcolormesh(x, y, iModule.squeeze(), cmap='jet', vmin=0, vmax=2)
#m.quiver(x[::n, ::n], y[::n, ::n], ufunct[::n, ::n], vfunct[::n, ::n], scale=10, pivot='mid')
m.colorbar(ticks=np.arange(0, 2.1, .2))
plt.savefig(files[8], bbox_inches='tight')
plt.show()
# North: 0.05'58.7"S 149.32'31.5"E # South: 12.26'14.3"S 151.49'38.0"E # Precip bins to be used for precip clevs = [0, 1, 2.5, 5, 7.5, 10, 15, 20, 30, 40, 50, 70, 100, 150] # More map configuration # draw coastlines, country boundaries m.drawcoastlines(linewidth=0.25) m.drawcountries(linewidth=0.25) # draw parallels. parallels = np.arange(-40., 40, 10.) m.drawparallels(parallels, labels=[1, 0, 0, 0], fontsize=10) # draw meridians meridians = np.arange(80., 180., 10.) m.drawmeridians(meridians, labels=[0, 0, 0, 1], fontsize=10) # Make grid for TRMM data ny = trmm_precip.shape[0] nx = trmm_precip.shape[1] lons, lats = m.makegrid(nx, ny) # get lat/lons of ny by nx evenly spaced grid. x, y = m(lons, lats) # compute map proj coordinates. # Make grid for SACA data ny_saca = saca_precip.shape[0] nx_saca = saca_precip.shape[1] lons_saca, lats_saca = m.makegrid(nx_saca, ny_saca) x_saca, y_saca = m(lons_saca, lats_saca) # Make grid for TRMM Land Sea mask (updated) lons_mask, lats_mask = np.meshgrid(lons_ls_mask, lats_ls_mask)
precip_colormap = matplotlib.colors.ListedColormap(nws_precip_colors) # Precip bins to be used for precip clevs = [0,1,2.5,5,7.5,10,15,20,30,40,50,70,100,150] # More map configuration # draw coastlines, country boundaries m.drawcoastlines(linewidth=0.25) m.drawcountries(linewidth=0.25) # draw parallels. parallels = np.arange(-40.,40,10.) m.drawparallels(parallels,labels=[1,0,0,0],fontsize=10) # draw meridians meridians = np.arange(80.,180.,10.) m.drawmeridians(meridians,labels=[0,0,0,1],fontsize=10) # Make grid for TRMM data # ny = trmm_precip.shape[0] # nx = trmm_precip.shape[1] # lons, lats = m.makegrid(nx, ny) # get lat/lons of ny by nx evenly spaced grid. # x, y = m(lons, lats) # compute map proj coordinates. # Alternative grid lonst, latst = np.meshgrid(lons, lats) x, y = m(lonst, latst) # Make grid for SACA data ny_saca = saca_precip.shape[0]
cs2 = m.contour(x,
y,
datadict_od_slp[itim][timelist[itim]] / 100.,
latlon=True,
levels=np.arange(980, 1030, 5),
colors='w',
linewidths=1,
zorder=10)
m.drawmapboundary()
m.drawparallels(np.arange(-90., 91., 20.),
labels=[1, 0, 0, 0],
linewidth=0.5,
fontsize=8)
m.drawmeridians(np.arange(-180., 181., 20.),
labels=[0, 0, 0, 1],
linewidth=0.5,
fontsize=8)
# plt.clabel(cs1, fontsize=9, inline=1, fmt='%d')
plt.clabel(cs2, fontsize=9, inline=1, fmt='%d')
let = 'a) ' if itim == 0 else 'b) '
titlestr = let + dateobj.strftime('%d %b')
ax.set_title(titlestr)
cax = fig.add_axes([0.92, 0.09, 0.015, 0.81])
cb = fig.colorbar(cs1, cax=cax, orientation='vertical')
cb.set_label(r'500 hPa $\Phi$ [dam]', fontsize=8)
cb.ax.tick_params(labelsize=8)
plt.subplots_adjust(left=0.05, bottom=0.05, top=0.94, right=0.92)
fig.savefig(result_dir + 'synoptic_situation.pdf')
timeDelta = []
print temp
m = Basemap(width=width,height=width,resolution='h',projection='aeqd',
lat_0=lat_0,lon_0=lon_0)
m.bluemarble(ax=None, scale=None)
m.warpimage(image='bluemarble', scale=None)
#m.arcgisimage(server='http://server.arcgisonline.com/ArcGIS', service='ESRI_Imagery_World_2D', xpixels=400, ypixels=None, dpi=96, verbose=False)
# fill background.
m.drawmapboundary(fill_color='aqua')
# draw coasts and fill continents.
m.drawcoastlines(linewidth=0.5)
#m.fillcontinents(color='coral',lake_color='aqua')
# 20 degree graticule.
m.drawparallels(np.arange(-80,81,20))
m.drawmeridians(np.arange(-180,180,20))
# draw a black dot at the center.
xpt, ypt = m(lon_0, lat_0)
m.plot([xpt],[ypt],'ko')
# draw the title.
plt.title('Azimuthal Equidistant Projection')
plt.show()
# for x in range(len(fakeDataLat)):
# plotGPSMap(fakeDataLong[x],fakeDataLat[x],canvas)
#canvas.update()
