My apologies for taking so long to reply here again, it's been a busy
couple of weeks.
On Mon, Feb 15, 2016 at 7:18 PM, Alan Gauld wrote:
> On 15/02/16 21:08, Zachary Ware wrote:
>> This is not all asyncio can do. Callbacks are only one way of using it, the
>> other, more common method is to use
On 27/02/16 15:46, Fosiul Alam wrote:
> a) Can I combile 2 forloop into one ?
Yes of course.
for key in values:
print "svtm-%s ,%s" % (key, values[key][0])
print "iostat-%s ,%s" % (key, values[key][1])
> b) How can remove first value from for loop - step a ?
>
Hi Alan
Thanks for the help.yes now i can see how it working, i am just stick in
small things
so this is what i have done ,
a) Can I combile 2 forloop into one ?
b) How can remove first value from for loop - step a ?
for key in values:
print "svtm-%s ,%s" % (key, values[k
Thanks Peter. It works now. I am trying to be creative but i am still
getting my way around pythony. EKE
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On 2/26/2016 7:26 PM, Ek Esawi wrote:
The result i am looking for is a 2D array (matrix) instead of 1D array
of tuples. That's when i read a file using genfromtxt, it generated a 1D
array of n tuples (like the example shown below); each tuple has one row
from the original file. The file contains
On 02/26/2016 09:26 PM, Steven D'Aprano wrote:
On Fri, Feb 26, 2016 at 08:30:19PM -0500, Ken G. wrote:
side = ""
while side != "0" or side != "1" or side != "2":
That will only exit if side == "0", "1" and "2" **at the same time**.
Clearly that is impossible, so the condition is always true, a
Ek Esawi wrote:
> The result i am looking for is a 2D array (matrix) instead of 1D array
> of tuples. That's when i read a file using genfromtxt, it generated a 1D
> array of n tuples (like the example shown below); each tuple has one row
> from the original file. The file contains multiple data t
The result i am looking for is a 2D array (matrix) instead of 1D array
of tuples. That's when i read a file using genfromtxt, it generated a 1D
array of n tuples (like the example shown below); each tuple has one row
from the original file. The file contains multiple data types and so i used
genfro
Peter Otten wrote:
> Or try
>
> b = numpy.array(a, dtype=(object, object))
That won't work, I accidentally tested it on an already converted array :(
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Ek Esawi wrote:
> Thanks for the input. I tried your idea but i did not work; l got 1D array
> of tuples; the same as the original array. I think b/c genfromtxt creates
> an array and so it's already an array object-if i understand it correctly.
> Your idea works well for a list which i tested but
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