csv blank fields

[MRAB]

Mag Gam wrote:
> Peter:
> 
> Sorry if I wasn't clear before.
> 
> While reading my csv file, notice I am putting the content in an array.
> 
> If lets say, row[5] has nothing in it, python gives an exception.
> Instead of the exception, I would like to assign 'NULL' to row[5].
> 
> Does that help?
> 
You still didn't say what the exception was!

Anyway, if you expect 'row' to contain 11 items, then you could append
the missing ones:

for s, row in enumerate(reader):
     # Fill any empty slots with "NULL".
     row = [r or "NULL" for r in row]
     # Append missing (empty) slots on the end.
     row += ["NULL"] * (11 - len(row))
     d[s] = np.array([tuple(row)], dtype=mtype)

> 
> On Sat, Jun 27, 2009 at 10:03 AM, Peter Otten<__peter__ at web.de> wrote:
>> Mag Gam wrote:
>>
>>> well, I am actually loading the row into a fixed width array
>>>
>>> reader=csv.reader(fs)
>>> for s,row in enumerate(reader):
>>>
>> t=np.array([(row[0],row[1],row[2],row[3],row[4],row[5],row[6],row[7],row[8],row[9],row[10])],dtype=mtype)
>>>   d[s]=t
>>>
>>>
>>> If there is a missing field, I get a problem in one of my rows
>> Please be specific. Describe what you want and what you get.
>>
>> If you give code make it self-contained so that others can run it without
>> having to guess the values of the variables you introduce.
>>
>> If an exception occurs cut and paste the traceback into your post, too.
>>