# load prediction data and save it as .mat file
import scipy
def SaveMat(sorted_data):
# transfer the data type
sorted_data['pre'] = sorted_data['pre'].astype(int)
# save the prediction data and remember to resave it in matlab for memory saving
b_dict = {col_name : sorted_data[col_name].values for col_name in sorted_data.columns.values}
scipy.io.savemat('nfac-pre.mat', {'struct':b_dict})
180505 如何将dataframe转换成mat格式的文件
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转载自blog.csdn.net/qq_33039859/article/details/80214122
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