bernoulli

Python-Bernoulli發行 (Python - Bernoulli Distribution)

The Bernoulli distribution is a special case of the Binomial distribution where a single experiment is conducted so that the number of observation is 1. So, the Bernoulli distribution therefore describes events having exactly two outcomes.

伯努利分布是二項分布的一種特例，在該二項分布中進行了一次實驗，因此觀察次數為1。因此，伯努利分布描述的事件恰好具有兩個結果。

We use various functions in numpy library to mathematically calculate the values for a bernoulli distribution. Histograms are created over which we plot the probability distribution curve.

我們在numpy庫中使用各種函數來數學計算bernoulli分布的值。 將創建直方圖，在該直方圖上繪制概率分布曲線。

from scipy.stats import bernoulli import seaborn as sbdata_bern = bernoulli.rvs(size=1000,p=0.6) ax = sb.distplot(data_bern,kde=True,color='crimson',hist_kws={"linewidth": 25,'alpha':1}) ax.set(xlabel='Bernouli', ylabel='Frequency')

Its output is as follows ?

其輸出如下-

翻譯自: https://www.tutorialspoint.com/python_data_science/python_bernoulli_distribution.htm

bernoulli

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