File:Factorial Interpolation.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: 33 KB)
Summary
| Description |
English: Interpolation for the factorial function: Gamma function. |
| Date | |
| Source |
Own work |
| Author | IkamusumeFan |
| SVG development |  This plot was created with Matplotlib. |
| Source code | Python code# Author: Fredrik.
# Enhanced by Ika, 2014-02-08
import numpy as np
import math
import matplotlib.pyplot as plt
import scipy.special as sp
plt.figure()
plt.axes([0.17,0.13,0.79,0.8])
plt.hold(True)
Q = []
# Draw the function curve.
X = np.arange(0.001, 5, 0.001)
Y = []
for x in X:
Y.append(math.gamma(x+1))
a = plt.plot(X, Y, '-', color='red', lw=3)
Q.append(a)
a = plt.plot([1,2,3,4], [1,2,6,24], 'ro')
Q.append(a)
plt.xlim(0,5)
plt.ylim(0,25)
plt.xlabel('n',fontsize=24)
plt.ylabel('n!',fontsize=24)
# Set up labels
plt.text(2,10,'?',fontsize=72)
plt.text(1,20,r'$f(n)=\Gamma(n+1)$',fontsize=36)
# Set up the spines
plt.grid()
plt.savefig("Factorial_Interpolation.svg")
|
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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- 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.
File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 21:12, 8 February 2014 | | 720 × 540 (33 KB) | wikimediacommons>IkamusumeFan | User created page with UploadWizard |
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