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Groups > comp.lang.python > #71210 > unrolled thread
| Started by | eckhleung@gmail.com |
|---|---|
| First post | 2014-05-09 18:22 -0700 |
| Last post | 2014-05-10 10:21 +0200 |
| Articles | 6 — 5 participants |
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How to implement key of key in python? eckhleung@gmail.com - 2014-05-09 18:22 -0700
Re: How to implement key of key in python? CHIN Dihedral <dihedral88888@gmail.com> - 2014-05-09 19:21 -0700
Re: How to implement key of key in python? MRAB <python@mrabarnett.plus.com> - 2014-05-10 03:30 +0100
Re: How to implement key of key in python? eckhleung@gmail.com - 2014-05-09 20:28 -0700
Re: How to implement key of key in python? Andrea D'Amore <anddamNOALPASTICCIODICARNE+gruppi@brapi.net> - 2014-05-10 09:07 +0200
Re: How to implement key of key in python? Peter Otten <__peter__@web.de> - 2014-05-10 10:21 +0200
| From | eckhleung@gmail.com |
|---|---|
| Date | 2014-05-09 18:22 -0700 |
| Subject | How to implement key of key in python? |
| Message-ID | <1ba8744e-943b-4c71-abd7-9dea12db8780@googlegroups.com> |
I'm migrating from Perl to Python and unable to identify the equivalent of key of key concept. The following codes run well,
import csv
attr = {}
with open('test.txt','rb') as tsvin:
tsvin = csv.reader(tsvin, delimiter='\t')
for row in tsvin:
ID = row[1]
until:
attr[ID]['adm3'] = row[2]
I then try:
attr[ID].adm3 = row[2]
still doesn't work. Some posts suggest using module dict but some do not. I'm a bit confused now. Any suggestions?
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| From | CHIN Dihedral <dihedral88888@gmail.com> |
|---|---|
| Date | 2014-05-09 19:21 -0700 |
| Message-ID | <4f659d7a-1175-4348-a097-41efc33d13c8@googlegroups.com> |
| In reply to | #71210 |
On Saturday, May 10, 2014 9:22:43 AM UTC+8, eckh...@gmail.com wrote:
> I'm migrating from Perl to Python and unable to identify the equivalent of key of key concept. The following codes run well,
>
>
>
> import csv
>
>
>
> attr = {}
>
>
>
> with open('test.txt','rb') as tsvin:
>
> tsvin = csv.reader(tsvin, delimiter='\t')
>
>
>
> for row in tsvin:
>
> ID = row[1]
>
>
>
>
>
> until:
>
> attr[ID]['adm3'] = row[2]
>
>
>
> I then try:
>
> attr[ID].adm3 = row[2]
>
>
>
> still doesn't work. Some posts suggest using module dict but some do not. I'm a bit confused now. Any suggestions?
Please check your attr as an empty dictionary or so-called a hash in perl.
The syntax of adding a (K,V) pair
is different between python and perl.
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| From | MRAB <python@mrabarnett.plus.com> |
|---|---|
| Date | 2014-05-10 03:30 +0100 |
| Message-ID | <mailman.9840.1399689009.18130.python-list@python.org> |
| In reply to | #71210 |
On 2014-05-10 02:22, eckhleung@gmail.com wrote:
> I'm migrating from Perl to Python and unable to identify the equivalent of key of key concept. The following codes run well,
>
> import csv
>
> attr = {}
>
> with open('test.txt','rb') as tsvin:
> tsvin = csv.reader(tsvin, delimiter='\t')
>
> for row in tsvin:
> ID = row[1]
>
>
> until:
> attr[ID]['adm3'] = row[2]
>
> I then try:
> attr[ID].adm3 = row[2]
>
> still doesn't work. Some posts suggest using module dict but some do not. I'm a bit confused now. Any suggestions?
>
Python doesn't have Perl's autovivication feature. If you want the
value to be a dict then you need to create that dict first:
attr[ID] = {}
attr[ID]['adm3'] = row[2]
You could also have a look at the 'defaultdict' class in the
'collections' module.
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| From | eckhleung@gmail.com |
|---|---|
| Date | 2014-05-09 20:28 -0700 |
| Message-ID | <85c11614-b1a3-4021-b071-ffa1e0e5d3a7@googlegroups.com> |
| In reply to | #71216 |
On Saturday, May 10, 2014 10:30:06 AM UTC+8, MRAB wrote:
> On 2014-05-10 02:22, I wrote:
>
> > I'm migrating from Perl to Python and unable to identify the equivalent of key of key concept. The following codes run well,
>
> > import csv
>
> > attr = {}
>
> > with open('test.txt','rb') as tsvin:
>
> > tsvin = csv.reader(tsvin, delimiter='\t')
>
> > for row in tsvin:
>
> > ID = row[1]
>
> > until:
>
> > attr[ID]['adm3'] = row[2]
>
> > I then try:
>
> > attr[ID].adm3 = row[2]
>
> > still doesn't work. Some posts suggest using module dict but some do not. I'm a bit confused now. Any suggestions?
>
> Python doesn't have Perl's autovivication feature. If you want the
>
> value to be a dict then you need to create that dict first:
>
> attr[ID] = {}
>
> attr[ID]['adm3'] = row[2]
>
> You could also have a look at the 'defaultdict' class in the
>
> 'collections' module.
I identify the information below:
s = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
d = defaultdict(list)
for k, v in s:
d[k].append(v)
While it is fine for a small dataset, I need a more generic way to do so. Indeed the "test.txt" in my example contains more columns of attributes like:
ID address age gender phone-number race education ...
ABC123 Ohio, USA 18 F 800-123-456 european university
ACC499 London 33 M 800-111-400 african university
...
so later I can retrieve the information in python by:
attr['ABC123'].address (containing 'Ohio, USA')
attr['ABC123'].race (containing 'european')
attr['ACC499'].age (containing '33')
The following links mention something similar,
http://courses.cs.washington.edu/courses/cse140/13wi/csv-parsing.html
http://stackoverflow.com/questions/8800111/parse-csv-file-and-aggregate-the-values
http://stackoverflow.com/questions/17763642/reading-tab-separated-file-into-a-defaultdict-python
http://semanticbible.com/blogos/2009/06/12/reading-tab-delimited-data-in-python-with-csv/
unfortunately none of them illustrates how to store the values and access them later. Moreover, they bring some new terms, e.g. combined, [], etc.
Is there any better reference?
Thanks again!
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| From | Andrea D'Amore <anddamNOALPASTICCIODICARNE+gruppi@brapi.net> |
|---|---|
| Date | 2014-05-10 09:07 +0200 |
| Message-ID | <lkkj6u$8md$1@virtdiesel.mng.cu.mi.it> |
| In reply to | #71220 |
On 2014-05-10 03:28:29 +0000, eckhleung@gmail.com said:
> While it is fine for a small dataset, I need a more generic way to do so.
I don't get how the dataset size affects the generality of the solution here.
From your first message:
> attr = {}
> with open('test.txt','rb') as tsvin:
> tsvin = csv.reader(tsvin, delimiter='\t')
> for row in tsvin:
> ID = row[1]
so your is solved by adding a simple
attr[ID] = {}
after the ID assignment. It seems simple to implement and generic enough to me.
> unfortunately none of them illustrates how to store the values and
> access them later.
You access the stored value by using the variable name that holds it,
but here you should probabily make more clear what your actual issue is.
> Moreover, they bring some new terms, e.g. combined, [], etc.
The "[]" syntax is used in Python for lists.
The term "combined" hasn't a specific pythonic meaning there and is
just used as a meaningful variable name as the author is combining,
i.e. adding, numerical values.
--
Andrea
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| From | Peter Otten <__peter__@web.de> |
|---|---|
| Date | 2014-05-10 10:21 +0200 |
| Message-ID | <mailman.9845.1399710131.18130.python-list@python.org> |
| In reply to | #71220 |
eckhleung@gmail.com wrote:
> On Saturday, May 10, 2014 10:30:06 AM UTC+8, MRAB wrote:
>> On 2014-05-10 02:22, I wrote:
>>
>> > I'm migrating from Perl to Python and unable to identify the equivalent
>> > of key of key concept. The following codes run well,
>>
>> > import csv
>>
>> > attr = {}
>>
>> > with open('test.txt','rb') as tsvin:
>>
>> > tsvin = csv.reader(tsvin, delimiter='\t')
>>
>> > for row in tsvin:
>>
>> > ID = row[1]
>>
>> > until:
>>
>> > attr[ID]['adm3'] = row[2]
>>
>> > I then try:
>>
>> > attr[ID].adm3 = row[2]
>>
>> > still doesn't work. Some posts suggest using module dict but some do
>> > not. I'm a bit confused now. Any suggestions?
>>
>> Python doesn't have Perl's autovivication feature. If you want the
>>
>> value to be a dict then you need to create that dict first:
>>
>> attr[ID] = {}
>>
>> attr[ID]['adm3'] = row[2]
>>
>> You could also have a look at the 'defaultdict' class in the
>>
>> 'collections' module.
>
> I identify the information below:
> s = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
> d = defaultdict(list)
> for k, v in s:
> d[k].append(v)
>
> While it is fine for a small dataset, I need a more generic way to do so.
> Indeed the "test.txt" in my example contains more columns of attributes
> like:
>
> ID address age gender phone-number race education ...
> ABC123 Ohio, USA 18 F 800-123-456 european university
> ACC499 London 33 M 800-111-400 african university
> ...
>
> so later I can retrieve the information in python by:
>
> attr['ABC123'].address (containing 'Ohio, USA')
> attr['ABC123'].race (containing 'european')
> attr['ACC499'].age (containing '33')
Using a csv.DictReader comes close with minimal effort:
# write demo data to make the example self-contained
with open("tmp.csv", "w") as f:
f.write("""\
ID,address,age,gender,phone-number,race,education
ABC123,"Ohio, USA",18,F,800-123-456,european,university
ACC499,London,33,M,800-111-400,african,university
""")
import csv
import pprint
with open("tmp.csv") as f:
attr = {row["ID"]: row for row in csv.DictReader(f)}
pprint.pprint(attr)
print(attr["ACC499"]["age"])
The "dict comprehension"
attr = {row["ID"]: row for row in csv.DictReader(f)}
is a shortcut for
attr = {}
for row in csv.DictReader(f):
attr[row["ID"]] = row
If you insist on attribute access (row.age instead of row["age"]) you can
use a namedtuple. This is a bit more involved:
import csv
import pprint
from collections import namedtuple
with open("tmp.csv") as f:
rows = csv.reader(f)
header = next(rows)
# make sure column names are valid Python identifiers
header = [column.replace("-", "_") for column in header]
RowType = namedtuple("RowType", header)
key_index = header.index("ID")
attr = {row[key_index]: RowType(*row) for row in rows}
pprint.pprint(attr)
print(attr["ABC123"].race)
> The following links mention something similar,
Too many, so I checked none of them ;)
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