Python | Pandas Series.str.wrap ()

👻 Check our latest review to choose the best laptop for Machine Learning engineers and Deep learning tasks!

Pandas str.wrap() is an important technique when working with long text data (paragraphs or messages). This is used to spread long text data onto new lines, or to handle whitespace when it exceeds the passed width. Since this is a string method, you must prefix .str before calling this method.

Syntax: Series .str.wrap (width, ** kwargs)

Parameters:
width: Integer value, defines maximum line width

** kwargs [Optional parameters]
expand_tabs: Boolean value, expands tab characters to spaces if True
replace_whitespace: Boolean value, if true, each white space character is replaced by single white space.
drop_whitespace: Boolean value, If true, removes whitespace if any at the beginning of new lines
break_long_words: Boolean value, if True, breaks word that are longer than the passed width.
break_on_hyphens: Boolean value, if true, breaks string on hyphens where string length is less than width.

Return type: Series with splitted lines / added characters (’’)

To load dataset used in code press here.

In the following examples, the data frame used contains data for some NBA players. An image of the data frame before any operations is attached below.

Example:
In this example, the Team wrapped 5 characters wide. Therefore, / n will appear after every 5 characters. A random item from the new team column and the old team column is printed to see the work. Before any operations are applied, null elements are removed using .dropna() .

Output:
As shown in the output images, the new column has & # 39; / n & # 39; after every 5 characters. After printing the same index of the old and new command columns, you can see that without adding a newline character in the print statement, python automatically reads & # 39; / n & # 39; in a line and places it on a new line.

Data frame with New Team column

Exit :

 Los Angeles Lakers ------------ Los A ngele s Lak ers 

👻 Read also: what is the best laptop for engineering students?

We hope this article has helped you to resolve the problem. Apart from Python | Pandas Series.str.wrap (), check other code Python module-related topics.

Want to excel in Python? See our review of the best Python online courses 2023. If you are interested in Data Science, check also how to learn programming in R.

By the way, this material is also available in other languages:

• Italiano Python | Pandas Series.str.wrap ()
• Deutsch Python | Pandas Series.str.wrap ()
• Français Python | Pandas Series.str.wrap ()
• Español Python | Pandas Series.str.wrap ()
• Türk Python | Pandas Series.str.wrap ()
• Русский Python | Pandas Series.str.wrap ()
• Português Python | Pandas Series.str.wrap ()
• Polski Python | Pandas Series.str.wrap ()
• Nederlandse Python | Pandas Series.str.wrap ()
• 中文 Python | Pandas Series.str.wrap ()
• 한국어 Python | Pandas Series.str.wrap ()
• 日本語 Python | Pandas Series.str.wrap ()
• हिन्दी Python | Pandas Series.str.wrap ()