使用scipy.io将python pandas dataframe转换为matlab结构 [英] python pandas dataframe to matlab struct using scipy.io

问题描述

我正在尝试使用scipy.io将熊猫数据框保存到matlab .mat文件中.

I am trying to save a pandas dataframe to a matlab .mat file using scipy.io.

我有以下内容:

array1 = np.array([1,2,3])
array2 = np.array(['a','b','c'])
array3 = np.array([1.01,2.02,3.03])
df = DataFrame({1:array1, 2:array2,3:array3}, index=('array1','array2','array3'))
recarray_ = df.to_records()
## Produces:
# rec.array([('array1', 1, 'a', 1.01), ('array2', 2, 'b', 2.02),
#   ('array3', 3, 'c', 3.03)], 
#  dtype=[('index', 'O'), ('1', '<i4'), ('2', 'O'), ('3', '<f8')])
scipy.io.savemat('test_recarray_struct.mat', {'struct':df.to_records()})

在Matlab中，我希望这会产生一个包含三个数组的结构(一个整数，一个字符，一个浮点数)，但实际上它会生成一个包含三个以上结构的结构，每个结构均包含四个变量； 'index'，1，'2'，3.当尝试选择1，'2'或3时，出现错误信息'变量struct(1，1).#不存在.'

In Matlab, I would expect this to produce a struct containing three arrays (one int, one char, one float) but it actually produces is a struct containing 3 more structs, each containing four variables; 'index', 1, '2', 3. When trying to select 1, '2' or 3 I get the error 'The variable struct(1, 1).# does not exist.'

任何人都可以解释预期的行为以及如何最好地将DataFrame保存到.mat文件吗?

Can anyone explain the expected behaviour and how best to save DataFrames to .mat files?

推荐答案

在此期间，我正在使用以下解决方法.如果您有更好的解决方案，请告诉我:

I am using the following workaround in the meantime. Please let me know if you have a better solution:

a_dict = {col_name : df[col_name].values for col_name in df.columns.values}

## optional if you want to save the index as an array as well:
# a_dict[df.index.name] = df.index.values
scipy.io.savemat('test_struct_to_mat.mat', {'struct':a_dict})

这篇关于使用scipy.io将python pandas dataframe转换为matlab结构的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！