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python how to find where the elements of an array fit inside an array of values
I have a big 1D array of values, say all between 0 and 1. I have a second array that partition the [0,1] intervals into M bins, and I am trying to find the proper way to know which bin each of the big array values would fit in.
Something like:
big = np.random.random(10000000)
bins = np.arange(0,1,0.01)
results = np.zeros_like(big)
for i,b in enumerate(big):
results[i] = np.argmin(b>bins)
but of course without the costly for loop....
python numpy
asked Nov 19 '18 at 21:19
Johann cohen-tanugiJohann cohen-tanugi
255
add a comment |
I have a big 1D array of values, say all between 0 and 1. I have a second array that partition the [0,1] intervals into M bins, and I am trying to find the proper way to know which bin each of the big array values would fit in.
Something like:
big = np.random.random(10000000)
bins = np.arange(0,1,0.01)
results = np.zeros_like(big)
for i,b in enumerate(big):
results[i] = np.argmin(b>bins)
but of course without the costly for loop....
python numpy
asked Nov 19 '18 at 21:19
Johann cohen-tanugiJohann cohen-tanugi
255
add a comment |
I have a big 1D array of values, say all between 0 and 1. I have a second array that partition the [0,1] intervals into M bins, and I am trying to find the proper way to know which bin each of the big array values would fit in.
Something like:
big = np.random.random(10000000)
bins = np.arange(0,1,0.01)
results = np.zeros_like(big)
for i,b in enumerate(big):
results[i] = np.argmin(b>bins)
but of course without the costly for loop....
python numpy
asked Nov 19 '18 at 21:19
Johann cohen-tanugiJohann cohen-tanugi
255
I have a big 1D array of values, say all between 0 and 1. I have a second array that partition the [0,1] intervals into M bins, and I am trying to find the proper way to know which bin each of the big array values would fit in.
Something like:
big = np.random.random(10000000)
bins = np.arange(0,1,0.01)
results = np.zeros_like(big)
for i,b in enumerate(big):
results[i] = np.argmin(b>bins)
but of course without the costly for loop....
python numpy
python numpy
asked Nov 19 '18 at 21:19
Johann cohen-tanugiJohann cohen-tanugi
255
asked Nov 19 '18 at 21:19
Johann cohen-tanugiJohann cohen-tanugi
255
asked Nov 19 '18 at 21:19
Johann cohen-tanugiJohann cohen-tanugi
255
asked Nov 19 '18 at 21:19
Johann cohen-tanugiJohann cohen-tanugi
255
asked Nov 19 '18 at 21:19
Johann cohen-tanugiJohann cohen-tanugi
255
255
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Are you looking for numpy.digitize()?
https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.digitize.html
numpy.digitize(big, bins)
answered Nov 19 '18 at 21:27
clonyclony
1262
fantastic, I completely missed this numpy feature! Thanks a ton
– Johann cohen-tanugi
Nov 19 '18 at 21:35
add a comment |
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1 Answer
1
active
oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Are you looking for numpy.digitize()?
https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.digitize.html
numpy.digitize(big, bins)
answered Nov 19 '18 at 21:27
clonyclony
1262
fantastic, I completely missed this numpy feature! Thanks a ton
– Johann cohen-tanugi
Nov 19 '18 at 21:35
add a comment |
Are you looking for numpy.digitize()?
https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.digitize.html
numpy.digitize(big, bins)
answered Nov 19 '18 at 21:27
clonyclony
1262
fantastic, I completely missed this numpy feature! Thanks a ton
– Johann cohen-tanugi
Nov 19 '18 at 21:35
add a comment |
Are you looking for numpy.digitize()?
https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.digitize.html
numpy.digitize(big, bins)
answered Nov 19 '18 at 21:27
clonyclony
1262
Are you looking for numpy.digitize()?
https://docs.scipy.org/doc/numpy-1.15.1/reference/generated/numpy.digitize.html
numpy.digitize(big, bins)
answered Nov 19 '18 at 21:27
clonyclony
1262
answered Nov 19 '18 at 21:27
clonyclony
1262
answered Nov 19 '18 at 21:27
clonyclony
1262
answered Nov 19 '18 at 21:27
clonyclony
1262
1262
fantastic, I completely missed this numpy feature! Thanks a ton
– Johann cohen-tanugi
Nov 19 '18 at 21:35
add a comment |
fantastic, I completely missed this numpy feature! Thanks a ton
– Johann cohen-tanugi
Nov 19 '18 at 21:35
fantastic, I completely missed this numpy feature! Thanks a ton
– Johann cohen-tanugi
Nov 19 '18 at 21:35
fantastic, I completely missed this numpy feature! Thanks a ton
– Johann cohen-tanugi
Nov 19 '18 at 21:35
add a comment |
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