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.

# import pandas as pd import pandas as pd   # Create DataFrame df = pd .DataFrame ({ `Weight` : [ 45 , 88 , 56 , 15 , 71 ], `Name` : [ `Sam` , `Andrea` , ` Alex` , `Robin` , `Kia` ],   `Age` : [ 14 , 25 , 55 , 8 , 21 ]})   # Create Index index_ = pd.date_range ( ` 2010-10-09 08:45` , periods = 5 , freq = `H` )   # Set Index df.index = index_   # Print DataFrame print (df)

Output:

We will now use DataFrame.to_string () to render this DataFrame to console table output.

# print in a table format result = df.to_string (index = False )   # Print result print (result)

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".

# import pandas as pd import pandas as pd    # Create DataFrame df = pd.DataFrame ({ " A " : [ 12 , 4 , 5 , None , 1 ],    "B" : [ 7 , 2 , 54 , 3 , None ],  "C" : [ 20 , 16 , 11 , 3 , 8 ],  "D" : [ 14 , 3 , None , 2  , 6 ]})    # Create index index_ = [ `Row_1` , `Row_2` , ` Row_3` , `Row_4` , ` Row_5` ]    # Set index df.index = index_   # Print DataFrame print (df)

Output:

We will now use DataFrame.to_string () to render this DataFrame to console table output.

# print in tabular format result = df.to_string (na_rep = `Missing` )   # Print result print (result)

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.