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POgroup a bunch of files by day
 

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  1. POgroup a bunch of files by day
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    <p>I do have a bunch of files containing atmospheric measurements in one directory. Fileformat is NetCDF. Each file has a timestamp (variable 'basetime'). I can read all files and plot individual measurement events (temperature vs. altitude). What I need to do next is "group the files by day" and plot all measurements taken at one single day together in one plot. Unfortunately I have no clue how to do that. One idea is to use the variable 'measurement_day' as it is defined in the code below. For each day I normally do have four different files containing temp. and altitude. Ideally the data of those four different files should be grouped (e.g. for plotting) I hope my question is clear. Can anyone please help me. </p> <p>EDIT: I try to use a dictionary now but I have trouble to determine whether one entry already exists for one measurement day. Please see edited code below</p> <pre><code>from netCDF4 import Dataset data ={} # was edited for f in listdir(path): if isfile(join(path,f)): full_path = join(path,f) f = Dataset(full_path, 'r') basetime = f.variables['base_time'][:] altitude = f.variables['alt'][:] temp = f.variables['tdry'][:] actual_date = strftime("%Y-%m-%d %H:%M:%S", gmtime(basetime)) measurement_day = strftime("%Y-%m-%d", gmtime(basetime)) # check if dict entries for day already exist, if not create empty dict # and lists inside if len(data[measurement_day]) == 0: data[measurement_day] = {} else: pass if len(data[measurement_day]['temp']) == 0: data[measurement_day]['temp'] = [] data[measurement_day]['altitude'] = [] else: pass </code></pre> <p>I get the following error message: Traceback (most recent call last):... if len(data[measurement_day]) == 0: KeyError: '2009/05/28'</p>
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    1. COWhat is `Dataset`? Where does it come from?
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      1. USEthan Furman
    2. COWe can't really tell how the data is structured until you answer Ethan Furman's question, but have you tried building a dictionary using `measurement_day` as the key? You could have each value be a list of variables, or perhaps another dictionary (keys=altitude,temp,...), values = list of appropriate values
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      1. USKyle Hannon
    3. CO`Dataset` is class from the Python Module NetCDF4. It was imported before (`from NetCDF4 import Dataset`). Sorry for forgetting to add that line of code, too.
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