pandas.DataFrame.to_xml   DataFrame.to_xml(path_or_buffer=None, index=True, root_name='data', row_name='row', na_rep=None, attr_cols=None, elem_cols=None, namespaces=None, prefix=None, encoding='utf-8', xml_declaration=True, pretty_print=True, parser='lxml', stylesheet=None, compression='infer', storage_options=None)[source]
 
Render a DataFrame to an XML document.  New in version 1.3.0.   Parameters 
 
path_or_buffer:str, path object, file-like object, or None, default None


String, path object (implementing os.PathLike[str]), or file-like object implementing a write() function. If None, the result is returned as a string.  
index:bool, default True


Whether to include index in XML document.  
root_name:str, default ‘data’


The name of root element in XML document.  
row_name:str, default ‘row’


The name of row element in XML document.  
na_rep:str, optional


Missing data representation.  
attr_cols:list-like, optional


List of columns to write as attributes in row element. Hierarchical columns will be flattened with underscore delimiting the different levels.  
elem_cols:list-like, optional


List of columns to write as children in row element. By default, all columns output as children of row element. Hierarchical columns will be flattened with underscore delimiting the different levels.  
namespaces:dict, optional


All namespaces to be defined in root element. Keys of dict should be prefix names and values of dict corresponding URIs. Default namespaces should be given empty string key. For example, 
namespaces = {"": "https://example.com"}
   
prefix:str, optional


Namespace prefix to be used for every element and/or attribute in document. This should be one of the keys in namespaces dict.  
encoding:str, default ‘utf-8’


Encoding of the resulting document.  
xml_declaration:bool, default True


Whether to include the XML declaration at start of document.  
pretty_print:bool, default True


Whether output should be pretty printed with indentation and line breaks.  
parser:{‘lxml’,’etree’}, default ‘lxml’


Parser module to use for building of tree. Only ‘lxml’ and ‘etree’ are supported. With ‘lxml’, the ability to use XSLT stylesheet is supported.  
stylesheet:str, path object or file-like object, optional


A URL, file-like object, or a raw string containing an XSLT script used to transform the raw XML output. Script should use layout of elements and attributes from original output. This argument requires lxml to be installed. Only XSLT 1.0 scripts and not later versions is currently supported.  
compression:str or dict, default ‘infer’


For on-the-fly compression of the output data. If ‘infer’ and ‘path_or_buffer’ path-like, then detect compression from the following extensions: ‘.gz’, ‘.bz2’, ‘.zip’, ‘.xz’, or ‘.zst’ (otherwise no compression). Set to None for no compression. Can also be a dict with key 'method' set to one of {'zip', 'gzip', 'bz2', 'zstd'} and other key-value pairs are forwarded to zipfile.ZipFile, gzip.GzipFile, bz2.BZ2File, or zstandard.ZstdDecompressor, respectively. As an example, the following could be passed for faster compression and to create a reproducible gzip archive: compression={'method': 'gzip', 'compresslevel': 1, 'mtime': 1}.  Changed in version 1.4.0: Zstandard support.   
storage_options:dict, optional


Extra options that make sense for a particular storage connection, e.g. host, port, username, password, etc. For HTTP(S) URLs the key-value pairs are forwarded to urllib as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded to fsspec. Please see fsspec and urllib for more details.    Returns 
 None or str

If io is None, returns the resulting XML format as a string. Otherwise returns None.      See also  to_json

Convert the pandas object to a JSON string.  to_html

Convert DataFrame to a html.    Examples 
>>> df = pd.DataFrame({'shape': ['square', 'circle', 'triangle'],
...                    'degrees': [360, 360, 180],
...                    'sides': [4, np.nan, 3]})
  
>>> df.to_xml()  
<?xml version='1.0' encoding='utf-8'?>
<data>
  <row>
    <index>0</index>
    <shape>square</shape>
    <degrees>360</degrees>
    <sides>4.0</sides>
  </row>
  <row>
    <index>1</index>
    <shape>circle</shape>
    <degrees>360</degrees>
    <sides/>
  </row>
  <row>
    <index>2</index>
    <shape>triangle</shape>
    <degrees>180</degrees>
    <sides>3.0</sides>
  </row>
</data>
  
>>> df.to_xml(attr_cols=[
...           'index', 'shape', 'degrees', 'sides'
...           ])  
<?xml version='1.0' encoding='utf-8'?>
<data>
  <row index="0" shape="square" degrees="360" sides="4.0"/>
  <row index="1" shape="circle" degrees="360"/>
  <row index="2" shape="triangle" degrees="180" sides="3.0"/>
</data>
  
>>> df.to_xml(namespaces={"doc": "https://example.com"},
...           prefix="doc")  
<?xml version='1.0' encoding='utf-8'?>
<doc:data xmlns:doc="https://example.com">
  <doc:row>
    <doc:index>0</doc:index>
    <doc:shape>square</doc:shape>
    <doc:degrees>360</doc:degrees>
    <doc:sides>4.0</doc:sides>
  </doc:row>
  <doc:row>
    <doc:index>1</doc:index>
    <doc:shape>circle</doc:shape>
    <doc:degrees>360</doc:degrees>
    <doc:sides/>
  </doc:row>
  <doc:row>
    <doc:index>2</doc:index>
    <doc:shape>triangle</doc:shape>
    <doc:degrees>180</doc:degrees>
    <doc:sides>3.0</doc:sides>
  </doc:row>
</doc:data>