Python-Numpy数组中的字符串和整数 [英] Python - strings and integers in Numpy array

问题描述

我想创建一个3列的数组.第一个是字符串，其他两个整数用于计算.然后，将通过append函数(下面)添加更多行.

I want to create an array with 3 columns. The first one a string, the other two integers used for calculations. Then more rows will be added through the append function (below).

问题在于所有列似乎都编码为字符串，而不仅仅是第一个.如何获得数字的正确数据类型?

The problem is that all columns seem to be coded as strings rather than just the first one. How do I get the correct data type for the numbers?

a = np.array([["String",1,2]])
a = np.append(a, [["another string", 3, 4]],axis = 0)

推荐答案

要具有这样的混合数据类型数据，我们可以在附加或堆叠之前将object用作dtype-

To have such a mixed datatype data, we could use object as dtype before appending or stacking -

a = np.array([["String",1,2]], dtype=object)
b = [["another string", 3, 4]]
a = np.vstack((a,np.asarray(b,object)))

样品运行-

In [40]: a = np.array([["String",1,2]], dtype=object)

In [41]: b = [["another string", 3, 4]]

In [42]: np.vstack((a,np.asarray(b,object)))
Out[42]: 
array([['String', 1, 2],
       ['another string', 3, 4]], dtype=object)

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