File:Poisson cdf.svg

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Summary

Description
English: Plot of the cumulative distribution function for a Poisson distribution
Date
Source Own work
Author Skbkekas
SVG development
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This plot was created with Matplotlib.
Source code
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Python code

import numpy as np
import matplotlib.pyplot as plt
import scipy.special as sp

X = np.arange(0,21)

plt.rc('text', usetex = True)
plt.rc('font', family = 'serif', size = 12)

##                                                                                
## CDF                                                                            
## 

col = {1: 'orange', 4: 'purple', 10: 'lightblue'}

plt.clf()
plt.figure(figsize=(4,3.2))
plt.axes([0.17,0.13,0.79,0.8])

A = []
for L in 1,4,10:

    P = -L + X*np.log(L) - sp.gammaln(X+1)
    P = np.exp(P)
    P = np.cumsum(P)

    for k in range(1,len(X)):
        plt.plot([k-1,k], [P[k-1],P[k-1]], '-', color='grey', label = '_nolegend_')

    a = plt.plot(X, P, 'o', color=col[L], markeredgecolor='k', markeredgewidth=0.5)
    A.append(a)

plt.xlabel("$k$")
plt.ylabel(u"$P(X\le k)$")

bx = plt.legend((r"$\lambda=1$", r"$\lambda=4$", r"$\lambda=10$"),\
                numpoints=1, handletextpad=0, loc="lower right")
bx.draw_frame(False)
plt.xlim([-1,21])
plt.ylim([0,1])

plt.savefig("poisson_cdf.pdf")
plt.savefig("poisson_cdf.svg")

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution
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  • 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.

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10 February 2010

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Date/TimeDimensionsUserComment
current20:25, 20 November 2020327 × 260 (91 KB)AkanoToEMade all text LaTeX, fixed legend text spacing

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