On Wed, 22 Jan 2014 17:35:22 +, Denis McMahon wrote:
On Tue, 21 Jan 2014 16:06:56 -0800, Shane Konings wrote:
The following is a sample of the data.
A mechanism using regexes
Just to follow up, using regexes I transformed the sample data that I
believe is as follows:
inputData = [
1
On 22/01/2014 00:06, Shane Konings wrote:
The following is a sample of the data. There are hundreds of lines that need to
have an automated process of splitting the strings into headings to be imported
into excel with theses headings
See here for code that could simplify your extire task
On Tue, 21 Jan 2014 15:49:16 -0800, Shane Konings wrote:
I have the following sample from a data set and I am looking to split
the address number and name into separate headings as seen below.
FarmIDAddress 1 1067 Niagara Stone 24260 Mountainview
3 25 Hunter 4
1091
On Tue, 21 Jan 2014 16:06:56 -0800, Shane Konings wrote:
The following is a sample of the data. There are hundreds of lines that
need to have an automated process of splitting the strings into headings
to be imported into excel with theses headings
ID Address StreetNum StreetName
Shane Konings shane.koni...@gmail.com writes:
I have struggled with this for a while and know there must be a
simple method to achieve this result.
There are several. But without seeing the code you have already
written, it's har to help you improve it.
--
/Wegge
Leder efter redundant
I don't have any code to split that part up. There is other information
following the street name such as street suffix, city, province, postal code,
etc. I have been able to split the rest of it up based on certain criteria
but have had no luck with splitting up the street name from the
Shane Konings shane.koni...@gmail.com writes:
I have the following sample from a data set and I am looking to split
the address number and name into separate headings as seen below.
FarmIDAddress
1 1067 Niagara Stone
2 4260 Mountainview
3 25 Hunter
4 1091
inHandler = open(inFile, 'r')
outHandler = open(outFile, 'w')
outHandler.write('ID\tAddress\tStreetNumName\tSufType\tDir\tCity\tProvince\tPostalCode\n')
for line in inHandler:
str = line.replace('FarmID\tAddress','')
outHandler.write(str[0:-1])
str = str.replace(', ON', '\t ON\t')
On Wednesday, January 22, 2014 1:49:16 AM UTC+2, Shane Konings wrote:
I have the following sample from a data set and I am
looking to split the address number and name into separate headings
as seen below.
I have struggled with this for a while and know there must be a simple method
to
Shane Konings shane.koni...@gmail.com writes:
...
The following is a sample of the data. There are hundreds of lines
that need to have an automated process of splitting the strings into
headings to be imported into excel with theses headings
ID Address StreetNum StreetName SufType Dir
In 9fe1b47b-65ce-4063-9188-07b81cdba...@googlegroups.com Shane Konings
shane.koni...@gmail.com writes:
I have the following sample from a data set and I am looking to split the
address number and name into separate headings as seen below.
FarmIDAddress
1 1067 Niagara Stone
2
On 2014-01-22 02:46, John Gordon wrote:
FarmID AddressNumAddressName
1 1067 Niagara Stone
2 4260 Mountainview
3 25Hunter
4 1091 Hutchinson
I have struggled with this for a while and know there must be a
simple method to
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