DataFrame.to_string() Pandas DataFrame.to_string() maps the DataFrame into a console-friendly tabular form .
Syntax: DataFrame.to_string (buf = None, columns = None, col_space = None, header = True, index = True, na_rep = ’NaN’, formatters = None, float_format = None, sparsify = None, index_names = True, justify = None, max_rows = None, max_cols = None, show_dimensions = False, decimal = ’.’, line_width = None)
Parameter:
buf: Buffer to write to.
columns: The subset of columns to write. Writes all columns by default.
col_space: The minimum width of each column.
header: Write out the column names. If a list of strings is given, it is assumed to be aliases for the column names.
index: Whether to print index (row) labels.
na_rep: String representation of NAN to use.
formatters: Formatter functions to apply to columns’ elements by position or name.
float_format: Formatter function to apply to columns’ elements if they are floats. The result of this function must be a unicode string.
sparsify: Set to False for a DataFrame with a hierarchical index to print every multiindex key at each row.
index_names: Prints the names of the indexes.
max_rows: Maximum number of rows to display in the console.
max_cols: Maximum number of columns to display in the console.
show_dimensions: Display DataFrame dimensions (number of rows by number of columns).
decimal: Character recognized as decimal separator, eg ’,’ in Europe.
line_width: Width to wrap a line in characters.Returns: str ( or unicode, depending on data and options)
Example # 1: Use DataFrame.to_string () to render the given DataFrame to the console tabular output. Do not include index labels in the output.
| |
Output:
We will now use DataFrame.to_string () to render this DataFrame to console table output.
| |
Output:
As we can see from the output, DataFrame.to_string () successfully rendered the given DataFrame.to_string () data as DataFrame.to_string () , DataFrame.to_string () for the console.
Example # 2: Use DataFrame.to_string () to render the given DataFrame to console table output. Represent the missing value in this Dataframe with the string "Missing".
| |
Output:
We will now use DataFrame.to_string () to render this DataFrame to console table output.
| |
Output:
How we can see from the output, DataFrame.to_string () has successfully rendered the given DataFrame.to_string () data as DataFrame.to_string () , DataFrame.to_string () for console.
