[Matplotlib-users] Basemap from proj4 string
Hi, Is it possible to create a Basemap instance directly from a proj4 string and min/max values of the x and y coordinates? Or is there a simple and safe way to construct Basemap input arguments/values from a general proj.4 string? -- 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Plotting with a custom color-vector
Hello,
I've created a map with matplotlib-Basemap and will have an animated gif by
drawing my special points / markers one by one in the plot. That work's
fine.
Now the markers should have a special color from a generated color-vector.
In this vector are values from (0.0-1.0) for grey values.
The data-vector is as follows: index 0,1 the lat and lon information, index
2 the gray values.
/Problem/: Passing the color vector to the plot command, cause this error:
*raise ValueError('third arg must be a format string')*
This is the important part of my code:
Any ideas? Regards John
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[Matplotlib-users] One colorbar for many plot
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.
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Re: [Matplotlib-users] One colorbar for many plot
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 alex.good...@colostate.eduwrote:
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
dyahr...@gmail.com 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.
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Alex Goodman
Graduate Research Assistant
Department of Atmospheric Science
Colorado State University
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Alex Goodman
Graduate Research Assistant
Department of Atmospheric Science
Colorado State University
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