text: from typing import Hashable
  import pandas_flavor as pf
  import pandas as pd
  
  from janitor.utils import deprecated_alias
  
  
  @pf.register_dataframe_method
  @deprecated_alias(column="column_name")
  def to_datetime(
      df: pd.DataFrame, column_name: Hashable, **kwargs
  ) -> pd.DataFrame:
      """Convert column to a datetime type, in-place.
  
      Intended to be the method-chaining equivalent of:
  
          df[column_name] = pd.to_datetime(df[column_name], **kwargs)
  
      This method mutates the original DataFrame.
  
      Example: 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
  
      :param df: A pandas DataFrame.
      :param column_name: Column name.
      :param 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
  