File:BetaDistrMean.svg
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Size of this PNG preview of this SVG file: 720 × 540 pixels. Other resolutions: 320 × 240 pixels | 640 × 480 pixels | 1,024 × 768 pixels | 1,280 × 960 pixels | 2,560 × 1,920 pixels.
Original file (SVG file, nominally 720 × 540 pixels, file size: 1.85 MB)
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Summary[edit]
| Description |
English: SVG version of  . |
| Date | |
| Source |
Own work  This W3C-unspecified plot was created with Matplotlib. |
| Author | Shiyu Ji |
Python Source Code[edit]
# Beta distribution mean when alpha, beta in [0, 5].
# Idea from Dr. J. Rodal
# Use Inkscape to enlarge and adjust the figure position
# (degroup, enlarge and regroup the SVG elements etc.).
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as pl
from matplotlib import cm
import numpy as np
from scipy.special import betainc
import scipy.integrate as integral
# Prepare the data by the mean
A = np.arange(0.01, 5.0, .01)
B = np.arange(0.01, 5.0, .01)
gridA, gridB = np.meshgrid(A, B)
Z = np.ndarray(shape=gridA.shape, dtype = float)
for i in range(len(A)):
for j in range(len(B)):
Z[j][i] = A[i] / (A[i] + B[j])
# Draw the data
fig = pl.figure()
ax = fig.add_subplot(111, projection = '3d')
pl.xticks([0.0, 2.0, 4.0])
pl.yticks([0.0, 2.0, 4.0])
ax.contour(gridA, gridB, Z, zdir='z', offset=0)
ax.plot_surface(gridA, gridB, Z, lw = 0.0)
ax.plot_wireframe(gridA, gridB, Z, lw = 1.0, color = 'black', \
rstride=20, cstride=20)
ax.set_xlim([0.0, 5.0])
ax.set_ylim([0.0, 5.0])
ax.set_zlim([0, 1.0])
ax.set_xlabel('alpha')
ax.set_ylabel('beta')
ax.set_zlabel('Mean')
ax.view_init(30,120)
fig.savefig('betaDistrMean.svg')
Licensing[edit]
I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 05:57, 8 October 2017 | | 720 × 540 (1.85 MB) | Shiyu Ji (talk | contribs) | User created page with UploadWizard |
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