frequency count or number of occurences of a number in an array

[Larry]

Dear all,

I'm new to Python. I have a file (an image file actually) that I need
to read pixel by pixel. It's an 8-bit integer type. I need to get the
statistics like mean, standard deviation, etc., which I know a little
bit already from reading numpy module. What I want to know is how to
get the number of occurences of numeric element in an array. Say,

b = array(([2, 2, 3, 4, 5, 5])

b.count(2) certainly does not work. Is there any more efficient way
other than converting this as string characters? My data will produce
a fairly large array like 400x400 = 160000 values. Hoping you guys can
help me.

Larry

[Paul Hankin]

On Mar 12, 10:26 am, Larry <[e-mail]:

I'm new to Python. I have a file (an image file actually) that I need
to read pixel by pixel. It's an 8-bit integer type. I need to get the
statistics like mean, standard deviation, etc., which I know a little
bit already from reading numpy module. What I want to know is how to
get the number of occurences of numeric element in an array. Say,

Something like this should do the job:

histogram = [0] * 256
for x in my_array:
histogram[x] += 1

--
Paul Hankin

[Bernard]

Hey Larry,

that one is fairly easy:

>>from array import array
array('i', [1, 2, 3, 4, 5, 1, 2])
def count(x, arr):

cpt = 0 # declare a counter variable
for el in arr: # for each element in the array
if el == x: # when it is equal to the 'x' value
cpt+=1 # increment the counter variable by one
return cpt # return the counter after the loop

>>count(1,a)

2

I'm pretty sure there must be an easier way though :)
On 12 mar, 06:26, Larry <[e-mail]:

Dear all,

I'm new to Python. I have a file (an image file actually) that I need
to read pixel by pixel. It's an 8-bit integer type. I need to get the
statistics like mean, standard deviation, etc., which I know a little
bit already from reading numpy module. What I want to know is how to
get the number of occurences of numeric element in an array. Say,

b = array(([2, 2, 3, 4, 5, 5])

b.count(2) certainly does not work. Is there any more efficient way
other than converting this as string characters? My data will produce
a fairly large array like 400x400 = 160000 values. Hoping you guys can
help me.

Larry

[John Machin]

On Mar 12, 10:29 pm, Bernard <[e-mail]:

Hey Larry,

that one is fairly easy:

>from array import array
array('i', [1, 2, 3, 4, 5, 1, 2])
def count(x, arr):

cpt = 0 # declare a counter variable
for el in arr: # for each element in the array
if el == x: # when it is equal to the 'x' value
cpt+=1 # increment the counter variable by one
return cpt # return the counter after the loop>>count(1,a)

2

Hey Bernard, you have just laboriously reinvented the count method:

>>from array import array
a = array('i', [1, 2, 3, 4, 5, 1, 2])
a.count(1)

2

>>>

which Larry has already said doesn't do the job -- the job is to
create a histogram!!

[Larry]

Thanks to all those who replied to this post. I'm gonna try your
suggestions. They are a great help.

[Bernard]

d'oh!

On 12 mar, 07:58, John Machin <[e-mail]:

On Mar 12, 10:29 pm, Bernard <[e-mail]:

Hey Larry,

that one is fairly easy:

>>from array import array
>>array('i', [1, 2, 3, 4, 5, 1, 2])
>>def count(x, arr):

* * * * cpt = 0 # declare a counter variable
* * * * for el in arr: # for each element in the array
* * * * * * * * if el == x: # when it is equal to the 'x' value
* * * * * * * * * * * * cpt+=1 # increment thecounter variable by one
* * * * return cpt # return the counter after the loop>>count(1,a)

2

Hey Bernard, you have just laboriously reinvented the count method:

>from array import array
a = array('i', [1, 2, 3, 4, 5, 1, 2])
a.count(1)

2

which Larry has already said doesn't do the job -- the job is to
create a histogram!!