code: def to_datetime(
      df: pd.DataFrame, column_name: Hashable, **kwargs: Any
  ) -> pd.DataFrame:
      """Convert column to a datetime type, in-place.
  
      Intended to be the method-chaining equivalent of:
  
      ```python
      df[column_name] = pd.to_datetime(df[column_name], **kwargs)
      ```
  
      This method mutates the original DataFrame.
  
      !!!note
  
          This function will be deprecated in a 1.x release.
          Please use [`jn.transform_column`][janitor.functions.transform_columns.transform_column]
          instead.
  
      Examples:
          Converting a string column to datetime type with custom format.
  
          >>> import pandas as pd
          >>> import janitor
          >>> df = pd.DataFrame({'date': ['20200101', '20200202', '20200303']})
          >>> df
                 date
          0  20200101
          1  20200202
          2  20200303
          >>> df.to_datetime('date', format='%Y%m%d')
                  date
          0 2020-01-01
          1 2020-02-02
          2 2020-03-03
  
      Read the pandas documentation for [`to_datetime`][pd_docs] for more information.
  
      [pd_docs]: https://pandas.pydata.org/docs/reference/api/pandas.to_datetime.html
  
      Args:
          df: A pandas DataFrame.
          column_name: Column name.
          **kwargs: Provide any kwargs that `pd.to_datetime` can take.
  
      Returns:
          A pandas DataFrame with updated datetime data.
      """  # noqa: E501
      df[column_name] = pd.to_datetime(df[column_name], **kwargs)
  
      return df
  
imports: from typing import Any, Hashable
  import pandas
  import pandas_flavor
  from janitor.utils import deprecated_alias, refactored_function
label_desc: Use image node_id 1 for calling a global function with example usage: to_datetime(df, column_name) and returns: df