DataFrame.
to_string
Render a DataFrame to a console-friendly tabular output.
Buffer to write to. If None, the output is returned as a string.
The subset of columns to write. Writes all columns by default.
The minimum width of each column.
Write out the column names. If a list of strings is given, it is assumed to be aliases for the column names.
Whether to print index (row) labels.
String representation of NaN to use.
NaN
Formatter functions to apply to columns’ elements by position or name. The result of each function must be a unicode string. List/tuple must be of length equal to the number of columns.
Formatter function to apply to columns’ elements if they are floats. This function must return a unicode string and will be applied only to the non-NaN elements, with NaN being handled by na_rep.
na_rep
Changed in version 1.2.0.
Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row.
Prints the names of the indexes.
How to justify the column labels. If None uses the option from the print configuration (controlled by set_option), ‘right’ out of the box. Valid values are
left
right
center
justify
justify-all
start
end
inherit
match-parent
initial
unset.
Maximum number of rows to display in the console.
The number of rows to display in the console in a truncated repr (when number of rows is above max_rows).
Maximum number of columns to display in the console.
Display DataFrame dimensions (number of rows by number of columns).
Character recognized as decimal separator, e.g. ‘,’ in Europe.
Width to wrap a line in characters.
Max width to truncate each column in characters. By default, no limit.
New in version 1.0.0.
Set character encoding.
New in version 1.0.
If buf is None, returns the result as a string. Otherwise returns None.
See also
to_html
Convert DataFrame to HTML.
Examples
>>> d = {'col1': [1, 2, 3], 'col2': [4, 5, 6]} >>> df = pd.DataFrame(d) >>> print(df.to_string()) col1 col2 0 1 4 1 2 5 2 3 6