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_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]
# 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 suffix / add prefix to strings in a list cos: Questions
How do I install pip on macOS or OS X?
5 answers
I spent most of the day yesterday searching for a clear answer for installing pip (package manager for Python). I can"t find a good solution.
How do I install it?
Answer #1
UPDATE (Jan 2019):
easy_install has been deprecated. Please use get-pip.py instead.
Old answer:
easy_install pip
If you need admin privileges to run this, try:
sudo easy_install pip
Answer #2
⚡️ TL;DR — One line solution.
All you have to do is:
sudo easy_install pip
2019: ⚠️
easy_installhas been deprecated. Check Method #2 below for preferred installation!
Details:
⚡️ OK, I read the solutions given above, but here"s an EASY solution to install
pip.
MacOS comes with Python installed. But to make sure that you have Python installed open the terminal and run the following command.
python --version
If this command returns a version number that means Python exists. Which also means that you already have access to easy_install considering you are using macOS/OSX.
ℹ️ Now, all you have to do is run the following command.
sudo easy_install pip
After that, pip will be installed and you"ll be able to use it for installing other packages.
Let me know if you have any problems installing pip this way.
Cheers!
P.S. I ended up blogging a post about it. QuickTip: How Do I Install pip on macOS or OS X?
✅ UPDATE (Jan 2019): METHOD #2: Two line solution —
easy_install has been deprecated. Please use get-pip.py instead.
First of all download the get-pip file
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
Now run this file to install pip
python get-pip.py
That should do it.
Another gif you said? Here ya go!
Answer #3
You can install it through Homebrew on OS X. Why would you install Python with Homebrew?
The version of Python that ships with OS X is great for learning but it’s not good for development. The version shipped with OS X may be out of date from the official current Python release, which is considered the stable production version. (source)
Homebrew is something of a package manager for OS X. Find more details on the Homebrew page. Once Homebrew is installed, run the following to install the latest Python, Pip & Setuptools:
brew install python
