将 ndarray 转换为字符串数组

Question

假设有数组

values = [[ 116.17265886,   39.92265886,  116.1761427 ,   39.92536232],
          [ 116.20749721,   39.90373467,  116.21098105,   39.90643813],
          [ 116.21794872,   39.90373467,  116.22143255,   39.90643813]]

现在我想将其转换为

values = [[ '116.17265886',   '39.92265886',  '116.1761427' ,   '39.92536232'],
          [ '116.20749721',   '39.90373467',  '116.21098105',   '39.90643813'],
          [ '116.21794872',   '39.90373467',  '116.22143255',   '39.90643813']]

Answer 1

假设你真的有一个 numpy 数组（不是列表的列表），你可以使用 astype(str):

values = np.array([[ 116.17265886,   39.92265886,  116.1761427 ,   39.92536232],
                   [ 116.20749721,   39.90373467,  116.21098105,   39.90643813],
                   [ 116.21794872,   39.90373467,  116.22143255,   39.90643813]])

out = values.astype(str)

输出：

array([['116.17265886', '39.92265886', '116.1761427', '39.92536232'],
       ['116.20749721', '39.90373467', '116.21098105', '39.90643813'],
       ['116.21794872', '39.90373467', '116.22143255', '39.90643813']],
      dtype='<U32')

Answer 2

如果它不是 numpy 数组，而是值列表的列表，则以下代码应该有效：

for index in range(len(values)):
   values[index] = [str(num) for num in values[index]]
print(values)

对于每个列表，它returns一个列表的每个值都更改为一个字符串，这returns以下。

[['116.17265886', '39.92265886', '116.1761427', '39.92536232'], 
['116.20749721', '39.90373467', '116.21098105', '39.90643813'], 
['116.21794872', '39.90373467', '116.22143255', '39.90643813']]

将 ndarray 转换为字符串数组

Convert ndarray to string array

python

numpy

multidimensional-array