matsuken92 · August 29, 2015 14:26
diff --git a/01_preparation.py b/01_preparation.py
 %matplotlib inline 
 import matplotlib.pyplot as plt
 import numpy as np
 import scipy.stats as st
 from matplotlib import animation as ani
 plt.style.use('ggplot')
 plt.rc('text', usetex=True)
diff --git a/02_gen_random_poisson.py b/02_gen_random_poisson.py
 x = st.poisson.rvs(5, size=30)   # 平均=5のポアソン分布に従う乱数を30個生成
 print x
diff --git a/03_draw_histgram.py b/03_draw_histgram.py
 lam = 3     # 平均値
 n = 10000   # 生成する乱数の数
 x = st.poisson.rvs(5, size=n)

 plt.figure(figsize=(9,7))
 plt.title("Poisson distribution.  $\lambda=5$, n={}".format(n))
 plt.hist(x, bins=np.max(x), color="lightblue")
 plt.show()
	%matplotlib inline
	import matplotlib.pyplot as plt
	import numpy as np
	import scipy.stats as st
	from matplotlib import animation as ani
	plt.style.use('ggplot')
	plt.rc('text', usetex=True)
	x = st.poisson.rvs(5, size=30) # 平均=5のポアソン分布に従う乱数を30個生成
	print x
	lam = 3 # 平均値
	n = 10000 # 生成する乱数の数
	x = st.poisson.rvs(5, size=n)

	plt.figure(figsize=(9,7))
	plt.title("Poisson distribution. $\lambda=5$, n={}".format(n))
	plt.hist(x, bins=np.max(x), color="lightblue")
	plt.show()