是否有可能在没有迭代的情况下在python中将数据帧转换为xml?

时间:2020-06-26 13:37:31

标签: python

在Python中将数据框转换为xml而不进行迭代?

输入数据框:

    A   B   C   D
    aa  ab  ac  ad
    aaa abb acc add

以XML输出:

    <A>aa</A>
    <B>ab</B>
    <C>ac</C>
    <D>ad</D>
    <A>aaa</A>
    <B>abb</B>
    <C>acc</C>
    <D>add</D>

1 个答案:

答案 0 :(得分:2)

给定数据框x:

>>> import pandas as pd
>>> x = pd.DataFrame([['aa','ab','ac','ad'],['aaa','abb','acc','add']],columns=['A','B','C','D'])
>>> x
     A    B    C    D
0   aa   ab   ac   ad
1  aaa  abb  acc  add

您可以使用此功能。但是,不能保证此处使用的pandas和numpy函数内部没有循环。

>>> import numpy as np
>>> def to_xml(df):
...     
...     #extract columns and repeat them by number of rows
...     cols = df.columns.tolist()*len(df.index)
...     
...     #convert df to numpy and reshape columns to one vector
...     df_numpy = np.array(df)
...     df_numpy = df_numpy.reshape(np.dot(*df_numpy.shape))
...     
...     #convert columns and numpy array to pandas and apply function that formats each row, convert to list
...     listlike = pd.DataFrame([df_numpy,cols]).apply(lambda x: '<{0}>{1}</{0}>'.format(x[1],x[0])).tolist()
...    
...     #return list of rows joined with newline character
...     return '\n'.join(listlike)

输出:

>>> print(to_xml(x))
<A>aa</A>
<B>ab</B>
<C>ac</C>
<D>ad</D>
<A>aaa</A>
<B>abb</B>
<C>acc</C>
<D>add</D>
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