[英]How to create a NXN matrix using for loop in python
I am kind new to python, and trying to create a dice example for CLT (central limit theory) as follows 我是python的新手,并尝试为CLT(中心极限理论)创建骰子示例,如下所示
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
SampleSize=1000000
NumberofDice=2
Dice=np.zeros([SampleSize,NumberofDice])
for i in range(NumberofDice+1):
Dice[:,i]=np.random.randint(1,7,SampleSize)
but I had an error saying 但我说错了
Traceback (most recent call last): File "", line 11, in IndexError: index 2 is out of bounds for axis 1 with size 2 追溯(最近一次调用):文件“”,第11行,在IndexError中:索引2超出了大小为2的轴1的范围
I am not sure how to deal with it, basically I want to create a 2 X 1000000 matrix, and each row is an independent rolling dice process. 我不确定如何处理它,基本上我想创建一个2 X 1000000矩阵,并且每一行都是一个独立的滚动骰子过程。
Can anyone help? 有人可以帮忙吗?
range(NumberofDice+1)
just remove that +1
, numpy indexing is 0
to n-1
, not 1
to n
, and range
also follows that convention. range(NumberofDice+1)
只是删除+1
,numpy的索引是0
至n-1
而不是1
至n
和range
也遵循惯例。
By the way you could do it directly like so too: 顺便说一句,您也可以直接这样做:
Dice = np.random.randint(1,7,size=(SampleSize,NumberofDice))
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