matplotlib-users Mailing List for matplotlib

In v1.3, we added the ability to provide a list of axes objects to
pyplot.colorbar() (and maybe fig.colorbar()?). All of the axes objects in
that list would then get resized similarly to make room for the colorbar.

http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.colorbar

The AxesGrid option is also very nice, and I use it a lot.

Cheers!
Ben Root



On Tue, May 20, 2014 at 10:04 PM, Alex Goodman
<ale...@co...>wrote:

> I would consider using the AxesGrid toolkit [1], which makes it very easy
> to have a single colorbar for multiple plots.
>
> [1] -
> http://matplotlib.org/1.3.1/mpl_toolkits/axes_grid/users/overview.html
>
> Thanks,
> Alex
>
>
> On Tue, May 20, 2014 at 8:04 PM, Alex Goodman <ale...@co...>wrote:
>
>> I would consider using the AxesGrid toolkit [1], which makes it very easy
>> to have a single colorbar for multiple plots.
>>
>> [1] -
>> http://matplotlib.org/1.3.1/mpl_toolkits/axes_grid/users/overview.html
>>
>> Thanks,
>> Alex
>>
>>
>> On Tue, May 20, 2014 at 7:57 PM, Dyah rahayu martiningrum <
>> dya...@gm...> wrote:
>>
>>> I am a newbie in python and I try to plot data like below :
>>>
>>> base_dir = 'C:/DATA2013/Day_E/'
>>> nc_fnames = ['20130203.faieb3p4g.nc', '20130203.faieb3p4g.nc','20130203.faieb3p4g.nc']
>>> # beams
>>> ibeams = [0,1,2]
>>> # Change directory
>>> os.chdir(base_dir)
>>> for i, fname in enumerate(nc_fnames):
>>>
>>>    # 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'][:]
>>>
>>>     # 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(311 + i)#Contour plot
>>>     pl.contourf(tim, rng, p_plot)    #Plot colorbar
>>>     pl.colorbar()
>>> # Set X and Y axis lower/upper limit
>>>     set_xy = range(4)
>>>     set_xy[0] = 18.0 # x min
>>>     set_xy[1] = 30.0 # x max
>>>     set_xy[2] = 90.0 # y min
>>>     set_xy[3] = 170.0 # y max
>>>     pl.axis(set_xy)
>>> # Set labels
>>> pl.xlabel('time (hours)')
>>> pl.ylabel('range (km)')
>>>
>>> pl.show()
>>>
>>>
>>> The result looks like three panels with different colorbar for each
>>> panel. How do I make only one colorbar for all panels? Thank you in advance.
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
>>> Instantly run your Selenium tests across 300+ browser/OS combos.
>>> Get unparalleled scalability from the best Selenium testing platform
>>> available
>>> Simple to use. Nothing to install. Get started now for free."
>>> http://p.sf.net/sfu/SauceLabs
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>>
>> --
>> Alex Goodman
>> Graduate Research Assistant
>> Department of Atmospheric Science
>>  Colorado State University
>>
>
>
>
> --
> Alex Goodman
> Graduate Research Assistant
> Department of Atmospheric Science
> Colorado State University
>
>
> ------------------------------------------------------------------------------
> "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
> Instantly run your Selenium tests across 300+ browser/OS combos.
> Get unparalleled scalability from the best Selenium testing platform
> available
> Simple to use. Nothing to install. Get started now for free."
> http://p.sf.net/sfu/SauceLabs
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

I would consider using the AxesGrid toolkit [1], which makes it very easy
to have a single colorbar for multiple plots.

[1] - http://matplotlib.org/1.3.1/mpl_toolkits/axes_grid/users/overview.html

Thanks,
Alex


On Tue, May 20, 2014 at 8:04 PM, Alex Goodman <ale...@co...>wrote:

> I would consider using the AxesGrid toolkit [1], which makes it very easy
> to have a single colorbar for multiple plots.
>
> [1] -
> http://matplotlib.org/1.3.1/mpl_toolkits/axes_grid/users/overview.html
>
> Thanks,
> Alex
>
>
> On Tue, May 20, 2014 at 7:57 PM, Dyah rahayu martiningrum <
> dya...@gm...> wrote:
>
>> I am a newbie in python and I try to plot data like below :
>>
>> base_dir = 'C:/DATA2013/Day_E/'
>> nc_fnames = ['20130203.faieb3p4g.nc', '20130203.faieb3p4g.nc','20130203.faieb3p4g.nc']
>> # beams
>> ibeams = [0,1,2]
>> # Change directory
>> os.chdir(base_dir)
>> for i, fname in enumerate(nc_fnames):
>>
>>    # 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'][:]
>>
>>     # 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(311 + i)#Contour plot
>>     pl.contourf(tim, rng, p_plot)    #Plot colorbar
>>     pl.colorbar()
>> # Set X and Y axis lower/upper limit
>>     set_xy = range(4)
>>     set_xy[0] = 18.0 # x min
>>     set_xy[1] = 30.0 # x max
>>     set_xy[2] = 90.0 # y min
>>     set_xy[3] = 170.0 # y max
>>     pl.axis(set_xy)
>> # Set labels
>> pl.xlabel('time (hours)')
>> pl.ylabel('range (km)')
>>
>> pl.show()
>>
>>
>> The result looks like three panels with different colorbar for each
>> panel. How do I make only one colorbar for all panels? Thank you in advance.
>>
>>
>> ------------------------------------------------------------------------------
>> "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
>> Instantly run your Selenium tests across 300+ browser/OS combos.
>> Get unparalleled scalability from the best Selenium testing platform
>> available
>> Simple to use. Nothing to install. Get started now for free."
>> http://p.sf.net/sfu/SauceLabs
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
>
> --
> Alex Goodman
> Graduate Research Assistant
> Department of Atmospheric Science
> Colorado State University
>



-- 
Alex Goodman
Graduate Research Assistant
Department of Atmospheric Science
Colorado State University

I am a newbie in python and I try to plot data like below :

base_dir = 'C:/DATA2013/Day_E/'
nc_fnames = ['20130203.faieb3p4g.nc',
'20130203.faieb3p4g.nc','20130203.faieb3p4g.nc']
# beams
ibeams = [0,1,2]
# Change directory
os.chdir(base_dir)
for i, fname in enumerate(nc_fnames):

   # 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'][:]

    # 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(311 + i)#Contour plot
    pl.contourf(tim, rng, p_plot)    #Plot colorbar
    pl.colorbar()
# Set X and Y axis lower/upper limit
    set_xy = range(4)
    set_xy[0] = 18.0 # x min
    set_xy[1] = 30.0 # x max
    set_xy[2] = 90.0 # y min
    set_xy[3] = 170.0 # y max
    pl.axis(set_xy)
# Set labels
pl.xlabel('time (hours)')
pl.ylabel('range (km)')

pl.show()


The result looks like three panels with different colorbar for each panel.
How do I make only one colorbar for all panels? Thank you in advance.