On 13 April 2013 16:30, Ana Dionísio wrote:
> It's still not working. I still have one column with all the data inside,
> like this:
>
> 2999;T3;3;1;1;Off;ON;OFF;ON;ON;ON;ON;Night;;
>
> How can I split this data in a way that if I want to print "T3" I would just
> do "print array[0][1]"?
Yo
Dear Ana,
your example data could be transformed into a matrix with
>>>import csv
>>>rows = csv.reader(open("your_data_file.csv"), delimiter=" ")
>>>array = [row for row in rows]
>>>array[0][3]
4
HTH
Paolo
Am Freitag, 12. April 2013 19:29:05 UTC+2 schrieb Ana Dionísio:
> That only puts the data
On 13/04/2013 16:30, Ana Dionísio wrote:
It's still not working. I still have one column with all the data inside, like
this:
2999;T3;3;1;1;Off;ON;OFF;ON;ON;ON;ON;Night;;
How can I split this data in a way that if I want to print "T3" I would just do
"print array[0][1]"?
I said before
It's still not working. I still have one column with all the data inside, like
this:
2999;T3;3;1;1;Off;ON;OFF;ON;ON;ON;ON;Night;;
How can I split this data in a way that if I want to print "T3" I would just do
"print array[0][1]"?
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Ana Dionísio writes:
> Hello!
>
> I have a CSV file with 20 rows and 12 columns and I need to store it
> as a matrix.
array=numpy.array([row for row in csv.reader(open('Cenarios.csv'))])
NB: i used "array=" as in your sample code, BUT
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> I have a CSV file with 20 rows and 12 columns and I need to store it as a
> matrix.
If you can use pandas, the pandas.read_csv is what you want.
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Keep the flattened data array others suggested, and then just split it like
this: *(replace `example_data`, `_array`, and `columns`)*
>>> example_data = range(15)
>>> split_array = lambda _array, colums: \
. . .[_array[i:i + colums] for i in \
. . .xrange(0, len(_array),
On 04/12/2013 01:29 PM, Ana Dionísio wrote:
That only puts the data in one column, I wanted to separate it.
For example:
data in csv file:
1 2 3 4 5
7 8 9 10 11
a b c d e
I wanted an array where I could pick an element in each position. In the case
above if I did print array[0][3] it would pi
On Apr 12, 10:12 pm, Ana Dionísio wrote:
> Hi, thanks for yor answer! ;)
>
> Anyone has more suggestions?
My suggestions:
1. Tell us what was lacking in Mark's suggestion (to use loadtxt)
2. Read his postscript (for googlegroup posters).
[In case you did not notice your posts are arriving in dou
That only puts the data in one column, I wanted to separate it.
For example:
data in csv file:
1 2 3 4 5
7 8 9 10 11
a b c d e
I wanted an array where I could pick an element in each position. In the case
above if I did print array[0][3] it would pick 4
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- Original Message -
> Hello!
>
> I have a CSV file with 20 rows and 12 columns and I need to store it
> as a matrix. I already created an array with zeros, but I don't know
> how to fill it with the data from the csv file. I have this script:
>
> import numpy
> from numpy import array
>
Hi, thanks for yor answer! ;)
Anyone has more suggestions?
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On 12/04/2013 15:22, Ana Dionísio wrote:
Hello!
I have a CSV file with 20 rows and 12 columns and I need to store it as a
matrix. I already created an array with zeros, but I don't know how to fill it
with the data from the csv file. I have this script:
import numpy
from numpy import array
fr
Hello!
I have a CSV file with 20 rows and 12 columns and I need to store it as a
matrix. I already created an array with zeros, but I don't know how to fill it
with the data from the csv file. I have this script:
import numpy
from numpy import array
from array import *
import csv
input = open(
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