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Python: faster completion of loop
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I have a python code using which I need to count the number of ids in a a given range of timestamps as :
id_number=[]
for i in range(numbers):
indices=numpy.argwhere((a[i] >= dataset[:,0]) & (a[i] <= dataset[:,1]))
id_number.append(len(set(dataset[indices[:,0],2])))
Here, numbers is an integer indicating the length of the array (a) that has timestamps. dataset[:,0] and dataset[:,1] has starting and ending ranges for timestamps and I have to compute the unique ids for a timestamp from the dataset.
The issue is: it is taking approx 0.7 seconds for one loop iteration making it run for about 5 days based on the length of a.
Is there a way to optimize this code, for it to complete early.
python performance
asked 8 mins ago
shaifali Guptashaifali Gupta
12
New contributor
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have a python code using which I need to count the number of ids in a a given range of timestamps as :
id_number=[]
for i in range(numbers):
indices=numpy.argwhere((a[i] >= dataset[:,0]) & (a[i] <= dataset[:,1]))
id_number.append(len(set(dataset[indices[:,0],2])))
Here, numbers is an integer indicating the length of the array (a) that has timestamps. dataset[:,0] and dataset[:,1] has starting and ending ranges for timestamps and I have to compute the unique ids for a timestamp from the dataset.
The issue is: it is taking approx 0.7 seconds for one loop iteration making it run for about 5 days based on the length of a.
Is there a way to optimize this code, for it to complete early.
python performance
asked 8 mins ago
shaifali Guptashaifali Gupta
12
New contributor
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have a python code using which I need to count the number of ids in a a given range of timestamps as :
id_number=[]
for i in range(numbers):
indices=numpy.argwhere((a[i] >= dataset[:,0]) & (a[i] <= dataset[:,1]))
id_number.append(len(set(dataset[indices[:,0],2])))
Here, numbers is an integer indicating the length of the array (a) that has timestamps. dataset[:,0] and dataset[:,1] has starting and ending ranges for timestamps and I have to compute the unique ids for a timestamp from the dataset.
The issue is: it is taking approx 0.7 seconds for one loop iteration making it run for about 5 days based on the length of a.
Is there a way to optimize this code, for it to complete early.
python performance
asked 8 mins ago
shaifali Guptashaifali Gupta
12
New contributor
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a python code using which I need to count the number of ids in a a given range of timestamps as :
id_number=[]
for i in range(numbers):
indices=numpy.argwhere((a[i] >= dataset[:,0]) & (a[i] <= dataset[:,1]))
id_number.append(len(set(dataset[indices[:,0],2])))
Here, numbers is an integer indicating the length of the array (a) that has timestamps. dataset[:,0] and dataset[:,1] has starting and ending ranges for timestamps and I have to compute the unique ids for a timestamp from the dataset.
The issue is: it is taking approx 0.7 seconds for one loop iteration making it run for about 5 days based on the length of a.
Is there a way to optimize this code, for it to complete early.
python performance
python performance
asked 8 mins ago
shaifali Guptashaifali Gupta
12
New contributor
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
shaifali Guptashaifali Gupta
12
New contributor
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
shaifali Guptashaifali Gupta
12
New contributor
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 8 mins ago
shaifali Guptashaifali Gupta
12
asked 8 mins ago
shaifali Guptashaifali Gupta
12
12
New contributor
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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