Density Estimation
This package provides functions for three specific types of density estimators. You might find it most useful for tasks involving plotting kernel density estimates, histograms and nearest-neighbor density estimates.
Typical intallation often looks like this:
!pip install densityestimation
Dependencies
Numpy
Matplotlib
Examples
import numpy as np
sample = np.random.normal(0,1,1000)
kde(sample)
import numpy as np
sample = np.random.normal(0,1,1000)
hist(sample)
import numpy as np
sample = np.random.normal(0,1,1000)
nnde(sample)
Contributors
We would like to thank our professor, Brian Chapman, for guiding us through our first ever endeavors involving Python. It is because of you, this class and this project that density estimation in Python will never be the same, or at least in our eyes.
1 maintainer
Release files for densityestimation 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| densityestimation-0.1.2.tar.gz | 1.1 kB | Details |
Release files / densityestimation-0.1.2.tar.gz
| Download URL | densityestimation-0.1.2.tar.gz |
|---|---|
| Size | 1.1 kB |
| Tags | Source |
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