Python add suffix / add prefix to strings in a list

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Method: Using the + operator + list comprehension

In this task, we simply add a string to the back or front position using the + operator, and list comprehension is used to iterate over all elements.

# Python3 code to demonstrate working of
# Append suffix / prefix to strings in list
# Using list comprehension + "+" operator

# initializing list
test_list = [’a’, ’b’, ’c’, ’d’]

# printing list
print("The original list : " + str(test_list))

# initializing append_str
append_str = ’gfg’

# Append suffix / prefix to strings in list
pre_res = [append_str + sub for sub in test_list]
suf_res = [sub + append_str for sub in test_list]

# Printing result
print("list after prefix addition : " + str(pre_res))
print("list after suffix addition : " + str(suf_res))

Output:

 The original list: [’a’, ’b’,’ c’, ’d’] list after prefix addition: [’ gfga’, ’gfgb’,’ gfgc’, ’gfgd’] list afterix addition: [’ agfg’, ’bgfg’,’ cgfg ’,’ dgfg’] 
Python add suffix add prefix

Python add_prefix

Python is a great language for data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one such package and makes it much easier to import and analyze data.

Dataframe.add_prefix() can be used with both series and dataframes.

  • For series, row labels are prefixed.
  • For a DataFrame, the column labels are prefixed.

Syntax: DataFrame.add_prefix(prefix)

Parameters:
prefix : string

Returns: with_prefix: type of caller

Example #1: Prefix col_ in each columns in the dataframe

# importing pandas as pd
import pandas as pd

# Making data frame from the csv file
df = pd.read_csv("nba.csv")

# Printing the first 10 rows of the
# dataframe for visualization
df[:10]

Python add_prefix
# Using add_prefix() function
# to add ’col_’ in each column label
df = df.add_prefix(’col_’)

# Print the dataframe
df

Example #2: Using add_prefix() with Series in pandas

add_prefix() alters the row index labels in the case of series.

# importing pandas as pd
import pandas as pd

# Creating a Series
df = pd.Series([1, 2, 3, 4, 5, 10, 11, 21, 4])

# This will prefix ’Row_’ in
# each row of the series
df = df.add_prefix(’Row_’)

# Print the Series
df

Python add_prefix

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

We hope this article has helped you to resolve the problem. Apart from Python add suffix / add prefix to strings in a list, check other ast 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:



Xu Zelotti

Singapore | 2023-01-28

gc Python module is always a bit confusing 😭 Python add suffix / add prefix to strings in a list is not the only problem I encountered. I am just not quite sure it is the best method

Boris Lehnman

Paris | 2023-01-28

code Python module is always a bit confusing 😭 Python add suffix / add prefix to strings in a list is not the only problem I encountered. Will use it in my bachelor thesis

Xu Zelotti

Texas | 2023-01-28

Thanks for explaining! I was stuck with Python add suffix / add prefix to strings in a list for some hours, finally got it done 🤗. Will get back tomorrow with feedback

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