python - 如何将 % 添加到 numpy 数组中的每个值？

Question

我有以下 numpy 数组:

arr= [[  0.          0.1046225518   0.          0.8953774482   0.        ]]

目前我有

values= str(np.around([arr*100],decimals=2))

返回:

 [[  0.          10.46   0.          89.53  0.        ]]

如果我 + % 值，它返回

 [[  0.          10.46   0.          89.53  0.        ]]%

期望的输出是:

[[  0.          10.46%   0.          89.53%  0.        ]]

Answer 1

由于您在评论中提到您想将其转换为数据框(我假设您指的是 Pandas 数据框)...

import numpy as np
import pandas as pd

# Reproduce your numpy array
arr= np.array([[  0.0, 0.1046225518, 0.0, 0.8953774482, 0.0]])

# Convert to 1-Column DataFrame of % Strings 
# (use pd.Series() instead if you'd prefer this as a Pandas Series)
as_strings = pd.DataFrame(["{0:.2f}%".format(val * 100) for val in arr[0]])

# Assign column name
as_strings.columns = ['Numbers as Strings'] 

print(as_strings)

  Numbers as Strings
0              0.00%
1             10.46%
2              0.00%
3             89.54%
4              0.00%

感谢this SO answer对于大部分关键代码行。