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[python #XMR-920755]: Weather forecast made in past

Greetings!

Since GRIB is a message-based file format, you should be able to directly 
concatenate your desired files together and then open them. This should work on 
a unix-like system as:

    cat *.grb > concatenated_dataset.grb

You should then be able to open that with pygrib or xarray + cfgrib. As far 
converting to CSV, you may be able to do this by opening the GRIB file using 
xarray and cfgrib, converting to a Pandas dataframe, and then writing the 
dataframe to CSV. Something like this *might* work:

    import xarray as xr
    ds = xr.open_dataset('concatenated_dataset.grb', engine='cfgrib')
    df = xr.to_dataframe()
    # MAKE SURE YOU SUBSET HERE
    df.to_csv('data.csv')

It's important to subset your data before writing to CSV, or you'll end up with 
a CSV file that is roughly 10x the size of the original GRIB file. If xarray + 
pandas isn't something you can use, you'll need to either use Python's built-in 
`csv` module, or manually open a text file for writing and construct the CSV 
manually like:

   with open('data.csv', 'wt') as outfile:
      for row in subsetted_data:
        output_line = #FORMAT DATA HERE
        outfile.write(output_line + '\n')

Hope this helps,

Ryan

> Hi,
> Thank you for the reply. I got what i need from 
> https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs.
>  It gives a tar file containing many timestamped grib files. I tried opening 
> those with xygrib but it takes only 1 grib file at a time. Do you know a way 
> to open multiple grib files and store the temperature and precipitation data 
> in csv .
> 


Ticket Details
===================
Ticket ID: XMR-920755
Department: Support Python
Priority: Low
Status: Closed
===================
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