如何将numpy ndarray保存为.csv文件?

时间:2018-02-05 12:09:44

标签: python arrays python-2.7 numpy

我创建了一个numpy数组,如下所示:

import numpy as np

names  = np.array(['NAME_1', 'NAME_2', 'NAME_3'])
floats = np.array([ 0.1234 ,  0.5678 ,  0.9123 ])

ab = np.zeros(names.size, dtype=[('var1', 'U6'), ('var2', float)])
ab['var1'] = names
ab['var2'] = floats

ab中的值如下所示:

array([(u'NAME_1',  0.1234), (u'NAME_2',  0.5678), (u'NAME_3',  0.9123)],
      dtype=[('var1', '<U6'), ('var2', '<f8')])

当我尝试使用ab命令将savetxt()保存为.csv文件时,

np.savetxt('D:\test.csv',ab,delimiter=',')

我得到以下错误

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-66-a71fd201aefe> in <module>()
----> 1 np.savetxt('D:\Azim\JF-Mapping-workflow-CRM\Backup\delete.csv',ab,delimiter=',')

c:\python27\lib\site-packages\numpy\lib\npyio.pyc in savetxt(fname, X, fmt, delimiter, newline, header, footer, comments)
   1256                     raise TypeError("Mismatch between array dtype ('%s') and "
   1257                                     "format specifier ('%s')"
-> 1258                                     % (str(X.dtype), format))
   1259         if len(footer) > 0:
   1260             footer = footer.replace('\n', '\n' + comments)

TypeError: Mismatch between array dtype ('[('var1', '<U6'), ('var2', '<f8')]') and format specifier ('%.18e,%.18e')

1 个答案:

答案 0 :(得分:12)

您的数组包含字符串,但np默认格式适用于浮点数。

尝试手动设置格式:

np.savetxt(r'g:\test.csv',ab,delimiter=',', fmt=('%s, %f'))