I changed a sparse dictionary into an array with (np.asarray). Then, I wrote a function that used that array to return the answer of a formula. However, I did that in a way the output includes the double brackets. Let's say the output is now:
我用(np.asarray)将稀疏字典更改为数组。然后,我写了一个函数,使用该数组返回公式的答案。但是,我这样做的输出包括双括号。我们现在说输出是:
[[7.58939191]]
but should be:
但应该是:
7.58939191
Can someone say how I can change this easily? Or do I have to share my function for this?
有人可以说我怎么能轻易改变这个?或者我必须分享我的功能吗?
2 个解决方案
#1
1
One way could be item method:
一种方法可能是项目方法:
x.item(0)
See the documentation:
查看文档:
Copy an element of an array to a standard Python scalar and return it.
将数组元素复制到标准Python标量并返回它。
#2
0
You can turn it into a numpy array, then compress the dimension:
您可以将其转换为numpy数组,然后压缩维度:
import numpy as np
a = np.squeeze(np.asarray(a))
Then you can use a just like a number, for example:
然后你可以像数字一样使用,例如:
b = a + 1
#1
1
One way could be item method:
一种方法可能是项目方法:
x.item(0)
See the documentation:
查看文档:
Copy an element of an array to a standard Python scalar and return it.
将数组元素复制到标准Python标量并返回它。
#2
0
You can turn it into a numpy array, then compress the dimension:
您可以将其转换为numpy数组,然后压缩维度:
import numpy as np
a = np.squeeze(np.asarray(a))
Then you can use a just like a number, for example:
然后你可以像数字一样使用,例如:
b = a + 1