Is there a PyNIO binary for windows as on their download page there are only Linux, Mac or Solaris versions?
Jeff Whitaker wrote: > > vasilescu_an...@yahoo.com wrote: >> Hi Jeff, >> >> This example is just awesome! I really appreciate the time you put into >> this but it's way way over my head... There are a couple issues I have >> especially that I just started using python and matplotlib a couple days >> ago. First, the direct reading of the grib file is great but I am not >> able to download Nio. The link they sent me to confirm the registration >> goes to a page that is not available... > Anton: I downloaded and installed it this morning and it worked fine. > If you're having problems, I'd suggest emailing them - they are quite > responsive. >> Also, because I figured out the data I need and already have the scripts >> in place to extract the CSV files I would really like to keep it that >> way. Would it be possible to just show me how to get from the csv file to >> the plot? >> > It's a matter of reading the CSV files into 2D arrays (lons,lats,data). > I don't have time right now to work that out for your data. Anyway, I > think you'll be happier in the long run if you bite the bullet now and > learn how to use PyNIO to read the data. > > -Jeff >> Thanks a lot! >> Anton Vasilescu >> >> >> Jeff Whitaker wrote: >> >>> antonv wrote: >>> >>>> Better yet, here is the file that I am using on my testing but keep in >>>> mind >>>> that it's a 33mb file: >>>> http://downloads.75ive.com/enp.t18z.grib.grib2 >>>> >>>> >>> Anton: I had already downloaded a file from the ftp site, so here's an >>> example script: >>> >>> import Nio >>> from mpl_toolkits.basemap import Basemap >>> import matplotlib.pyplot as plt >>> import numpy as np >>> f = Nio.open_file('akw.t00z.grib.grib2') >>> print f.variables.keys() >>> lons = f.variables['lon_0'][:] >>> # flip latitudes so data goes S-->N >>> lats = f.variables['lat_0'][::-1] >>> times = f.variables['forecast_time0'][:] >>> datavar = f.variables['WWSWHGT_P0_L1_GLL0'] >>> ntime = 10 >>> data = datavar[ntime,::-1] >>> print f.variables['WWSWHGT_P0_L1_GLL0'] >>> print data.min(), data.max() >>> m = Basemap(projection='cyl',llcrnrlat=lats[0],llcrnrlon=lons[0],\ >>> urcrnrlat=lats[-1],urcrnrlon=lons[-1],resolution='l') >>> x, y = m(*np.meshgrid(lons, lats)) >>> levels = np.arange(0,9.1,0.5) >>> m.contourf(x,y,data,levels) >>> m.drawcoastlines() >>> m.fillcontinents() >>> m.drawparallels(np.arange(40,81,10),labels=[1,0,0,0]) >>> m.drawmeridians(np.arange(150,241,10),labels=[0,0,0,1]) >>> m.drawparallels(np.arange(40,81,10),labels=[1,0,0,0]) >>> m.drawmeridians(np.arange(150,241,10),labels=[0,0,0,1]) >>> plt.title(datavar.long_name+' %s hr fcst'%(times[ntime]),fontsize=12) >>> plt.colorbar(orientation='horizontal',shrink=0.9,format="%g") >>> plt.show() >>> >>> The resulting plot is attached. >>> >>> Note you will need the Basemap toolkit (available from the matplotlib >>> download site). If you don't want to plot the coastlines, you can just >>> use plt.contourf. You'll also need PyNIO >>> (http://www.pyngl.ucar.edu/Nio.shtml) to read the GRIB file. >>> >>> The png produced by this script is attached. >>> >>> Let me know if you have any questions. >>> >>> -Jeff >>> >>>> >>>> antonv wrote: >>>> >>>> >>>>> Here is the link to the folder that has the grib files. They are >>>>> updated >>>>> every 3 hours: >>>>> ftp://ftpprd.ncep.noaa.gov/pub/data/nccf/com/wave/prod/ >>>>> >>>>> Any of the files there would have the same info only at different >>>>> times >>>>> of >>>>> day. >>>>> >>>>> >>>>> >>>>> >>>> >>>> >>> >>> ------------------------------------------------------------------------------ >>> >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >>> >>> >> Quoted from: >> http://www.nabble.com/Plotting-NOAA-data...-tp21139727p21149409.html >> >> > > > ------------------------------------------------------------------------------ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > -- View this message in context: http://www.nabble.com/Plotting-NOAA-data...-tp21139727p21150608.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
