Method info

pandas/core/frame.py:3813–3973

Print a concise summary of a DataFrame. This method prints information about a DataFrame including the index dtype and columns, non-NA values and memory usage. Parameters ---------- verbose : bool, optional Whether to print the full summ

(
        self,
        verbose: bool | None = None,
        buf: WriteBuffer[str] | None = None,
        max_cols: int | None = None,
        memory_usage: bool | str | None = None,
        show_counts: bool | None = None,
    )

    # ----------------------------------------------------------------------
    def info(
        self,
        verbose: bool | None = None,
        buf: WriteBuffer[str] | None = None,
        max_cols: int | None = None,
        memory_usage: bool | str | None = None,
        show_counts: bool | None = None,
    ) -> None:
        """
        Print a concise summary of a DataFrame.

        This method prints information about a DataFrame including
        the index dtype and columns, non-NA values and memory usage.

        Parameters
        ----------
        verbose : bool, optional
            Whether to print the full summary. By default, the setting in
            ``pandas.options.display.max_info_columns`` is followed.
        buf : writable buffer, defaults to sys.stdout
            Where to send the output. By default, the output is printed to
            sys.stdout. Pass a writable buffer if you need to further process
            the output.
        max_cols : int, optional
            When to switch from the verbose to the truncated output. If the
            DataFrame has more than `max_cols` columns, the truncated output
            is used. By default, the setting in
            ``pandas.options.display.max_info_columns`` is used.
        memory_usage : bool, str, optional
            Specifies whether total memory usage of the DataFrame
            elements (including the index) should be displayed. By default,
            this follows the ``pandas.options.display.memory_usage`` setting.

            True always show memory usage. False never shows memory usage.
            A value of 'deep' is equivalent to "True with deep introspection".
            Memory usage is shown in human-readable units (base-2
            representation). Without deep introspection a memory estimation is
            made based in column dtype and number of rows assuming values
            consume the same memory amount for corresponding dtypes. With deep
            memory introspection, a real memory usage calculation is performed
            at the cost of computational resources. See the
            :ref:`Frequently Asked Questions <df-memory-usage>` for more
            details.
        show_counts : bool, optional
            Whether to show the non-null counts. By default, this is shown
            only if the DataFrame is smaller than
            ``pandas.options.display.max_info_rows`` and
            ``pandas.options.display.max_info_columns``. A value of True always
            shows the counts, and False never shows the counts.

        Returns
        -------
        None
            This method prints a summary of a DataFrame and returns None.

        See Also
        --------
        DataFrame.describe: Generate descriptive statistics of DataFrame