class_docstr: Generate a profile report from a Dataset stored as a pandas `DataFrame`.
  
  Used as is, it will output its content as an HTML report in a Jupyter notebook.
class_docstr_tok: ["Generate","a","profile","report","from","a","Dataset","stored","as","a","pandas","`","DataFrame","`",".","Used","as","is",",","it","will","output","its","content","as","an","HTML","report","in","a","Jupyter","notebook","."]
docstr: Write the report to a file.
  
  Args:
      output_file: The name or the path of the file to generate including the extension (.html, .json).
      silent: if False, opens the file in the default browser or download it in a Google Colab environment
code: def to_file(
      self, output_file: Union[str, Path], silent: bool = True
  ) -> None:
      """Write the report to a file.
  
      Args:
          output_file: The name or the path of the file to generate including the extension (.html, .json).
          silent: if False, opens the file in the default browser or download it in a Google Colab environment
      """
      with warnings.catch_warnings():
          warnings.simplefilter("ignore")
          pillow_version = pkg_resources.get_distribution(
              "Pillow"
          ).version
      version_tuple = tuple(map(int, pillow_version.split(".")))
      if version_tuple < (9, 5, 0):
          warnings.warn(
              "Try running command: 'pip install --upgrade Pillow' to avoid ValueError"
          )
  
      if not isinstance(output_file, Path):
          output_file = Path(str(output_file))
  
      if output_file.suffix == ".json":
          data = self.to_json()
      else:
          if not self.config.html.inline:
              self.config.html.assets_path = str(output_file.parent)
              if self.config.html.assets_prefix is None:
                  self.config.html.assets_prefix = (
                      str(output_file.stem) + "_assets"
                  )
              create_html_assets(self.config, output_file)
  
          data = self.to_html()
  
          if output_file.suffix != ".html":
              suffix = output_file.suffix
              output_file = output_file.with_suffix(".html")
              warnings.warn(
                  f"Extension {suffix} not supported. For now we assume .html was intended. "
                  f"To remove this warning, please use .html or .json."
              )
  
      disable_progress_bar = not self.config.progress_bar
      with tqdm(
          total=1,
          desc="Export report to file",
          disable=disable_progress_bar,
      ) as pbar:
          output_file.write_text(data, encoding="utf-8")
          pbar.update()
  
      if not silent:
          try:
              from google.colab import files  # noqa: F401
  
              files.download(output_file.absolute().as_uri())
          except ModuleNotFoundError:
              import webbrowser
  
              webbrowser.open_new_tab(output_file.absolute().as_uri())
  
imports: import copy
  import json
  import warnings
  from pathlib import Path
  from typing import Any, Optional, Union
  from dataclasses import asdict, is_dataclass
  import numpy
  import pandas
  from tqdm.auto import tqdm
  from typeguard import typechecked
  from visions import VisionsTypeset
  from ydata_profiling.config import Config, Settings, SparkSettings
  from ydata_profiling.expectations_report import ExpectationsReport
  from ydata_profiling.model import BaseDescription
  from ydata_profiling.model.alerts import AlertType
  from ydata_profiling.model.describe import describe
  from ydata_profiling.model.sample import Sample
  from ydata_profiling.model.summarizer import BaseSummarizer, PandasProfilingSummarizer, format_summary, redact_summary
  from ydata_profiling.model.typeset import ProfilingTypeSet
  from ydata_profiling.report import get_report_structure
  from ydata_profiling.report.presentation.core import Root
  from ydata_profiling.report.presentation.flavours.html.templates import create_html_assets
  from ydata_profiling.serialize_report import SerializeReport
  from ydata_profiling.utils.dataframe import hash_dataframe
  from ydata_profiling.utils.paths import get_config
label_desc: Use image node_id 17 for calling the ProfileReport obj's underlying member method code with example usage: obj.to_file(output_file, silent) without return types