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Original file (SVG file, nominally 360 × 288 pixels, file size: 22 KB)
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Summary
| Description |
English: Graph showing the CDF of the reciprocal distribution for two different sets of parameters |
| Date | |
| Source | Own work |
| Author | Bscan |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
 
|
This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. |
| The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
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import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
X = np.arange(7)
plt.clf()
plt.figure(figsize=(4,3.2))
plt.axes([0.17,0.13,0.79,0.8])
ax = plt.gca()
col = {0: 'orange', 1: 'purple', 2: 'lightblue'}
a_vals = [1,2]
b_vals = [4,6]
for i,a,b in zip(range(a_vals.__len__()),a_vals,b_vals):
X = np.arange(0, 7, 0.01)
P = stats.reciprocal.cdf(X, a=a, b=b)
a = plt.plot(X, P, '-', color=col[i], lw=2.5, label="a={}, b={}".format(a,b))
plt.xlabel("x")
plt.ylabel(u"P(X\N{Less-THAN OR EQUAL TO}x)")
plt.xlim(0,7)
plt.legend(frameon=False, loc='lower right')
plt.savefig("/dbfs/FileStore/Wikipedia/reciprocal_cdf.svg")
display()
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 18:41, 28 June 2019 | | 360 × 288 (22 KB) | Bscan | User created page with UploadWizard |
File usage
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Global file usage
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- Usage on ca.wikipedia.org
