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')
最佳答案
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)
关于python - 类型错误 : Mismatch between array dtype ('float64' ) and format specifier，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/45580330/