加载使用带有格式选项的Savetxt保存的Numpy数组

Question

我已经看过如何使用格式选项保存numpy数组(此处(。我这样保存了我的numpy数组：

np.savetxt('my_file.txt', results, fmt='%1.4f', delimiter=",")

看起来不错：

0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0200,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0050,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150
0.0050,0.0100,0.0100,0.0000,0.0000,0.0050,0.0000,0.0150

现在，当我尝试加载它时，我会收到一个错误：

pl_sioux = np.loadtxt(＆quot; my_file.txt＆quort;(

Traceback (most recent call last):
  File "rfresults.py", line 3, in <module>
    pl_sioux = np.loadtxt("rf_pl_Sioux.txt") #, dtype='f')
  File "/user/pkgs/anaconda2/lib/python2.7/site-packages/numpy/lib/npyio.py", line 1092, in loadtxt
    for x in read_data(_loadtxt_chunksize):
  File "/user/pkgs/anaconda2/lib/python2.7/site-packages/numpy/lib/npyio.py", line 1019, in read_data
    items = [conv(val) for (conv, val) in zip(converters, vals)]
  File "/user/pkgs/anaconda2/lib/python2.7/site-packages/numpy/lib/npyio.py", line 738, in floatconv
    return float(x)
ValueError: invalid literal for float(): 0.0050,0.0100,0.0150,0.0000,0.0000,0.0050,0.0000,0.0150

我尝试了此操作，以数学为fmt选项：

loaded_file = np.loadtxt("my_file.txt", dtype='f')

但有相同的错误。

如何加载我的numpy数组？

Answer 1

默认分界符值是一个空格。您必须提供实际定界符的价值：

np.loadtxt("my_file.txt", delimiter=",")