>Nevertheless, I think list comprehension is what you want:
> [ x for x in A if 3.0 <= x <= 8.0 ]
>will extract all the values between 3 and 8 from the array A and create
>a new list containing them.
>If you want the new list to be a numpy array then
> numpy.array([ x for x in A if 3.
On 09/15/2011 11:55 AM, neeru K wrote:
Dear Gary,
thank you for the reply.
I will be more specific and take the same example that you have given
and tell you what is my problem -
array([0.0, 1.3, 2.45, 3.87, 4.54, 5.11, 6.90, 7.78, 8.23, 9.01])
from this array I want to a sub-list with lower an
Dear Gary,
thank you for the reply.
I will be more specific and take the same example that you have given and
tell you what is my problem -
array([0.0, 1.3, 2.45, 3.87, 4.54, 5.11, 6.90, 7.78, 8.23, 9.01])
from this array I want to a sub-list with lower and upper indexes that are
not present in the
On 09/15/2011 09:40 AM, neeru K wrote:
Dear Python Users,
I am trying to write a code for visualization (raster plots and
peri-event time histogram) of time series electrophysiological data
using numpy, scipy and matlplotlib in python. I am importing the data
into list using loadtext command.
Dear Python Users,
I am trying to write a code for visualization (raster plots and peri-event
time histogram) of time series electrophysiological data using numpy, scipy
and matlplotlib in python. I am importing the data into list using loadtext
command.
I was curious if anyone is aware of a functi