Databases
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Postsdbo
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  1. PO
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    <p>You can try this code, the main idea is to read the files iteratively, and update a dictionary object with the count and sum of the second and third values in each number, good luck!</p> <pre><code>#first you get the paths for all the dat files: import os dat_dir=r'c:\dat_dir' our_files=[path for os.path.join(dat_dir,f) for f in os.listdir(dat_dir)] #then you iterate over them and update a dictionary object with the results for each file: dict_x_values={} for f in our_files: fopen=open(f,'r') for line in fopen: line=line.strip('\n') split=[int(v) for v in line.split()] if len(split)==3: key=split[0] if dict_x_values.has_key(key): second_count,second_sum=dict_x_values[key][0] #the second value in the row second_count+=1 #we increment the count second_sum+=split[1] #we increment the sum third_count,third_sum=dict_x_values[key][1] #the third value in the row third_count+=1 third_sum+=split[2] dict_x_values[key]=[[second_count,second_sum],[third_count,third_sum]] else: dict_x_values[key]=[[1,split[1]],[1,split[1]]] #if the dictionary doesn't have the left x-value, we initialize it fopen.close() #Then we write our output combined file comb_open=open('comb_dat.txt','w') for key in dict_x_values: second_count,second_sum=dict_x_values[key][0] #the second value in the row third_count,third_sum=dict_x_values[key][1] #the third value in the row second_avg=float(second_sum)/second_count third_avg=float(third_sum)/third_count line='%s\t%s\t%s'%(key,second_avg,third_avg) comb_open.close() </code></pre>
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    1. POcombine/average multiple data files
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    1. UShmghaly
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Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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