Skip Montanaro writes:
> How about just replacing *\(([^)]*)\)* with *"\1"* in a wrapper class's
> line reading method? (I think I have the re syntax approximately right.)
> The csv reader will "just work". Again, nesting parens not allowed.
>
> Skip
here is some working code:
def PReader(csvfi
> Besides, the point isn't the shortest code but to illustrate the idea
> of handling special syntax.
In my defense, I was typing on my phone while watching a show on
Netflix. I was hardly in a position to test any code. :-)
As you indicated though, the problem is under-specified (nesting?,
pres
On 24Sep2019 19:02, Skip Montanaro wrote:
How about just replacing *\(([^)]*)\)* with *"\1"* in a wrapper class's
line reading method?
Will that work if the OP's (TEST1,TEST2) term itself contains quotes?
Not that his example data did, but example data are usually incomplete
:-)
Also, tha
How about just replacing *\(([^)]*)\)* with *"\1"* in a wrapper class's
line reading method? (I think I have the re syntax approximately right.)
The csv reader will "just work". Again, nesting parens not allowed.
Skip
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On 2019-09-25 00:09, Cameron Simpson wrote:
On 24Sep2019 15:55, Mihir Kothari wrote:
I am using python 3.4. I have a CSV file as below:
ABC,PQR,(TEST1,TEST2)
FQW,RTE,MDE
Really? No quotes around the (TEST1,TEST2) column value? I would have
said this is invalid data, but that does not help yo
On 24Sep2019 15:55, Mihir Kothari wrote:
I am using python 3.4. I have a CSV file as below:
ABC,PQR,(TEST1,TEST2)
FQW,RTE,MDE
Really? No quotes around the (TEST1,TEST2) column value? I would have
said this is invalid data, but that does not help you.
Basically comma-separated rows, where
