Python: Binning data with a weight
I have got a dataset with strong noise, e.g.
import numpy as np
import matplotlib.pyplot as plt
N = 1000
x = np.linspace(0,10,N)
y = x + 20 * np.random.rand(N)
I want to bin the data for a given binsize (or binnumber). By that I basically just mean a Δx. The binned data should be weighted by a gaussian function that you can think of as a gaussian that is extended over the y-axis weighting the data depending on the distance of the expectation value µ. Also, I want the data to give me the 1σ-error.
I know about numpy.digitize and scipy.stats.binned_statistic but I am failing to apply any of the two to get my desired binning. Maybe the latter should be the easiest to use for this case as it offers the parameter statistic=<function> but I am open to suggestions.
python binning weighting
asked Nov 13 '18 at 17:24
famfopfamfop
28118
add a comment |
I have got a dataset with strong noise, e.g.
import numpy as np
import matplotlib.pyplot as plt
N = 1000
x = np.linspace(0,10,N)
y = x + 20 * np.random.rand(N)
I want to bin the data for a given binsize (or binnumber). By that I basically just mean a Δx. The binned data should be weighted by a gaussian function that you can think of as a gaussian that is extended over the y-axis weighting the data depending on the distance of the expectation value µ. Also, I want the data to give me the 1σ-error.
I know about numpy.digitize and scipy.stats.binned_statistic but I am failing to apply any of the two to get my desired binning. Maybe the latter should be the easiest to use for this case as it offers the parameter statistic=<function> but I am open to suggestions.
python binning weighting
asked Nov 13 '18 at 17:24
famfopfamfop
28118
1
Did you take a look at numpy.histogram? It supports binning with weights.
– MisterMiyagi
Nov 13 '18 at 17:28
Yes but I don't quite get how this would look like... I need a specific example to start off but unfortunately I cannot find (m)any
– famfop
Nov 13 '18 at 17:34
add a comment |
I have got a dataset with strong noise, e.g.
import numpy as np
import matplotlib.pyplot as plt
N = 1000
x = np.linspace(0,10,N)
y = x + 20 * np.random.rand(N)
I want to bin the data for a given binsize (or binnumber). By that I basically just mean a Δx. The binned data should be weighted by a gaussian function that you can think of as a gaussian that is extended over the y-axis weighting the data depending on the distance of the expectation value µ. Also, I want the data to give me the 1σ-error.
I know about numpy.digitize and scipy.stats.binned_statistic but I am failing to apply any of the two to get my desired binning. Maybe the latter should be the easiest to use for this case as it offers the parameter statistic=<function> but I am open to suggestions.
python binning weighting
asked Nov 13 '18 at 17:24
famfopfamfop
28118
I have got a dataset with strong noise, e.g.
import numpy as np
import matplotlib.pyplot as plt
N = 1000
x = np.linspace(0,10,N)
y = x + 20 * np.random.rand(N)
I want to bin the data for a given binsize (or binnumber). By that I basically just mean a Δx. The binned data should be weighted by a gaussian function that you can think of as a gaussian that is extended over the y-axis weighting the data depending on the distance of the expectation value µ. Also, I want the data to give me the 1σ-error.
I know about numpy.digitize and scipy.stats.binned_statistic but I am failing to apply any of the two to get my desired binning. Maybe the latter should be the easiest to use for this case as it offers the parameter statistic=<function> but I am open to suggestions.
python binning weighting
python binning weighting
asked Nov 13 '18 at 17:24
famfopfamfop
28118
asked Nov 13 '18 at 17:24
famfopfamfop
28118
asked Nov 13 '18 at 17:24
famfopfamfop
28118
asked Nov 13 '18 at 17:24
famfopfamfop
28118
asked Nov 13 '18 at 17:24
famfopfamfop
28118
28118
1
Did you take a look at numpy.histogram? It supports binning with weights.
– MisterMiyagi
Nov 13 '18 at 17:28
Yes but I don't quite get how this would look like... I need a specific example to start off but unfortunately I cannot find (m)any
– famfop
Nov 13 '18 at 17:34
add a comment |
1
Did you take a look at numpy.histogram? It supports binning with weights.
– MisterMiyagi
Nov 13 '18 at 17:28
Yes but I don't quite get how this would look like... I need a specific example to start off but unfortunately I cannot find (m)any
– famfop
Nov 13 '18 at 17:34
1
1
Did you take a look at numpy.histogram? It supports binning with weights.
– MisterMiyagi
Nov 13 '18 at 17:28
Did you take a look at numpy.histogram? It supports binning with weights.
– MisterMiyagi
Nov 13 '18 at 17:28
Yes but I don't quite get how this would look like... I need a specific example to start off but unfortunately I cannot find (m)any
– famfop
Nov 13 '18 at 17:34
Yes but I don't quite get how this would look like... I need a specific example to start off but unfortunately I cannot find (m)any
– famfop
Nov 13 '18 at 17:34
add a comment |
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1
Did you take a look at numpy.histogram? It supports binning with weights.
– MisterMiyagi
Nov 13 '18 at 17:28
Yes but I don't quite get how this would look like... I need a specific example to start off but unfortunately I cannot find (m)any
– famfop
Nov 13 '18 at 17:34