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# 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)

  Render a DataFrame to an XML document.

  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’ is path-like, then detect compression from the following extensions: ‘.gz’, ‘.bz2’, ‘.zip’, ‘.xz’, ‘.zst’, ‘.tar’, ‘.tar.gz’, ‘.tar.xz’ or ‘.tar.bz2’ (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'`, `'xz'`, `'tar'`} and other key-value pairs are forwarded to `zipfile.ZipFile`, `gzip.GzipFile`, `bz2.BZ2File`, `zstandard.ZstdCompressor`, `lzma.LZMAFile` or `tarfile.TarFile`, 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}`.

    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.request.Request` as header options. For other URLs (e.g. starting with “s3://”, and “gcs://”) the key-value pairs are forwarded to `fsspec.open`. Please see `fsspec` and `urllib` for more details, and for more examples on storage options refer here.

  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(
      ...     [["square", 360, 4], ["circle", 360, np.nan], ["triangle", 180, 3]],
      ...     columns=["shape", "degrees", "sides"],
      ... )

      >>> 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>