Python | Pandas Series.to_string()

Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.

Pandas Series.to_string() function render a string representation of the Series.

Syntax: Series.to_string(buf=None, na_rep=’NaN’, float_format=None, header=True, index=True, length=False, dtype=False, name=False, max_rows=None)

Parameter :
buf : buffer to write to
na_rep : string representation of NAN to use, default ‘NaN’
float_format : formatter function to apply to columns’ elements if they are floats default None
header : Add the Series header (index name)
index : Add index (row) labels, default True
length : Add the Series length
dtype : Add the Series dtype
name : Add the Series name if not None
max_rows : Maximum number of rows to show before truncating.

Returns : Formatted string.

Example #1: Use Series.to_string() function to render a string representation of the given series object.

Output :

Now we will use Series.to_string() function to render string representation to this series object.

Output :

As we can see in the output, the Series.to_string() function has successfully rendered a string representation to the given object.
 
Example #2: Use Series.to_string() function to render a string representation of the given series object.

Output :

Now we will use Series.to_string() function to render string representation to this series object.

Output :

As we can see in the output, the Series.to_string() function has successfully rendered a string representation to the given object.