python - 类型错误 : Mismatch between array dtype ('float64' ) and format specifier

Question

我有一个尺寸为 1000*30*150 的 numpy 数组。我正在尝试将其保存为 txt 文件。到目前为止我已经试过了

np.savetxt("test.txt", mydata, fmt='%.5f', delimiter=",")
#and 
with open('test.txt', 'w') as f:
    for row in mydata:
        np.savetxt(f, row, delimiter=',', fmt='%.5f')

两种方法都报错

Traceback (most recent call last):
  File "/usr/local/lib/python3.5/dist-packages/numpy/lib/npyio.py", line 1254, in savetxt
    fh.write(asbytes(format % tuple(row) + newline))
TypeError: only length-1 arrays can be converted to Python scalars

During handling of the above exception, another exception occurred:

Traceback (most recent call last):


        np.savetxt("test.txt", train, fmt='%.5f', delimiter=",")
      File "/usr/local/lib/python3.5/dist-packages/numpy/lib/npyio.py", line 1258, in savetxt
        % (str(X.dtype), format))
    TypeError: Mismatch between array dtype ('float64') and format specifier ('%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f,%.5f')

Answer 1

问题是您的数组是 3 维的，无法以二维格式保存。要么 reshape 它，使其成为 2d:

mydata = mydata.reshape(mydata.shape[0],mydata.shape[1]*mydata.shape[2])
np.savetxt('text.txt',mydata,fmt='%.5f',delimiter=',')

或者如果您不需要将其作为文本文件读取并且只想稍后在 python 中重新加载它，请使用:

np.save('text.npy',mydata)