I am trying to convert a .mat file to csv using python. The code I am using is
import scipy.io
import numpy as np
data = scipy.io.loadmat("wiki.mat")
for i in data:
if '__' not in i and 'readme' not in i:
np.savetxt(("file.csv"),data[i],delimiter=',')
When ever I run this code, I get error as follows:
Traceback (most recent call last):
File "test.py", line 8, in <module>
np.savetxt(("file.csv"),data[i],delimiter=',')
File "/Library/Python/2.7/site-packages/numpy/lib/npyio.py", line 1258, in savetxt
% (str(X.dtype), format))
TypeError: Mismatch between array dtype ('[('dob', 'O'), ('photo_taken', 'O'), ('full_path', 'O'), ('gender', 'O'), ('name', 'O'), ('face_location', 'O'), ('face_score', 'O'), ('second_face_score', 'O')]') and format specifier ('%.18e')
I am trying to convert the .mat file from this link: https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/static/imdb_meta.tar
Please help me out with some working solution!
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.savetxt.html
Save an array to a text file.
You can, unfortunately, only store a single numeric numpy array in a single file. Whereas your .mat
file contains a structure:
>> fieldnames(imdb)
ans =
{
[1,1] = dob
[2,1] = photo_taken
[3,1] = full_path
[4,1] = gender
[5,1] = name
[6,1] = face_location
[7,1] = face_score
[8,1] = second_face_score
[9,1] = celeb_names
[10,1] = celeb_id
}
>> imdb.name(1)
ans =
{
[1,1] = Fred Astaire
}
It might make sense to convert the data to a numpy dictionary (as described in "Complex matlab-like data structure in python (numpy/scipy)"), and store that as a .csv
using How do I convert this list of dictionaries to a csv file? [Python]