Hi,
.
Your example is not much clear. It's better post some short example and a
running piece of code.
btw, maybe your problem should be solved with this post:
http://stackoverflow.com/questions/13784201/matplotlib-2-subplots-1-colorbar
Cheers,
Arnaldo
---
*Arnaldo D'Amaral Pereira Granja Russo*
Lab. de Estudos dos Oceanos e Clima
Instituto de Oceanografia - FURG
2015-03-06 6:36 GMT-03:00 Dyah rahayu martiningrum <dyahr...@gmail.com>:
> Hello all,
>
> I make multi plot with colorbars. I need help, how do make only one
> colorbar for six panels? I also want to show only lowest x-axis. I copy my
> recent code and figure here.
>
> # Open file
> fd = nc.Dataset(fname, 'r')
>
> # Read variables
> beam = fd.variables['beam'][:]
> rng = fd.variables['range'][:]
> tim = fd.variables['time'][:]
> pwr = fd.variables['pwr'][:]
> nfft = fd.variables['nfft'][0]
> pn = fd.variables['pnoise'][:]
> width=fd.variables['width'][:]
> # Close netCDF file
> fd.close()
>
> # Specify beam
> ibeam = ibeams[i]
>
> # Time convertion
> tim = tim/3600.0
>
> #Plot
> p_plot = pwr[ibeam]
> for it in range(len(tim)):
> p_plot[it] = p_plot[it] - pn[ibeam][it] - 10.*np.log10(nfft)
> p_plot = p_plot.transpose()
>
> #Specify subplot
> pl.subplot(611 + i)
> #Contour plot
> v= np.linspace(5., 50., 5., endpoint=True)
> x= pl.contourf(tim, rng, p_plot, v, cmap=pl.cm.jet)
> x = pl.colorbar(ticks=v)
> x.ax.set_title('dB')
> print x
>
>
> # Set X and Y axis lower/uppser limit
> set_xy = range(4)
> set_xy[0] = 18.0 # x min
> set_xy[1] = 30.0 # x max
> set_xy[2] = 200.0 # y min
> set_xy[3] = 550.0 # y max
> pl.axis(set_xy)
>
> # Set labels
> pl.xlabel('time (hours)')
> pl.ylabel('range (km)')
> pl.show()
>
>
> Thank you....
>
>
>
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