Counting events that occur in some time intervals
$begingroup$
I have a python code where I need to count the number of ids in 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 time-limit-exceeded numpy
edited 13 mins ago
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asked 1 hour ago
shaifali Guptashaifali Gupta
12
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shaifali Gupta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
I have a python code where I need to count the number of ids in 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 time-limit-exceeded numpy
edited 13 mins ago
200_success
130k17153419
asked 1 hour 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 where I need to count the number of ids in 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 time-limit-exceeded numpy
edited 13 mins ago
200_success
130k17153419
asked 1 hour 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 where I need to count the number of ids in 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 time-limit-exceeded numpy
python time-limit-exceeded numpy
edited 13 mins ago
200_success
130k17153419
asked 1 hour 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.
edited 13 mins ago
200_success
130k17153419
asked 1 hour 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.
edited 13 mins ago
200_success
130k17153419
edited 13 mins ago
200_success
130k17153419
edited 13 mins ago
200_success
130k17153419
130k17153419
asked 1 hour 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 1 hour ago
shaifali Guptashaifali Gupta
12
asked 1 hour 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.
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