Print comma separated integers in python

Just call join passing in your list and if it is only one element, it won't add the "comma":

print[','.join[['1']]]

output:

1
print[','.join[['1', '2']]]

output:

1,2
print[','.join[['1', '2', '3']]]

output:

1,2,3

If you have a list of integers, or a mix of strings and integers, then you would have to call str on the integer parts in your list. However, the easiest way to go about doing this would be to either call map on your list [map will apply a callable to each item in your list] to cast to the appropriate str, or perform a generator comprehension to cast to int:

comprehension:

print[",".join[str[i] for i in [1,2,3]]] 

map:

print[",".join[map[str, [1,2,3]]]]

Recently I had to look for ways to converts a list of integers to a comma separated string in python.

A simple google search lead me to a couple of stack overflow articles [1] and [2], where I found a number of ways to complete the task. However, I had to find the fastest way to accomplish the task as I had to convert integer lists of length between 10000 and 12000, that too a multiple times. So, I decided to run some experiments.

Here is the sample list to convert, with the 7 contenders and outputs:

Except the last one, every other contender generates similar output. However, in a comma separated string, spaces after commas hardly makes a difference.

Experiment

To find the fastest way to convert, I made use of the timeit module.

timeit.repeat[setup, stmt, repeat=5, number=1000]

where

setup usually takes import statements and variable initialization.

stmt is the actual statement to measure.

The statement will be run 1000 times to get the average time to complete and getting 5 average times will help weed out a run that could have being bogged down by some other process running on the machine.

Code

Results

The values in green is the lowest execution time taken by a contender.

As you can see the unusual contender that uses the inbuilt function in list to convert to a comma separated string is by far the fastest. The slowest one I would say is the method using StringIO.

If you take the fastest run from each of the contenders, the str-list method is faster then the old-style method by almost 3 seconds.

I ran this experiment on a 3 different machines with varying configurations and the results were similar. The str-list method was the fastest.

Hope this experiment helps you as it helped me.

One last point, some of contenders also work on other lists types as well.

Convert a comma-separated number to an Integer in Python #

To convert a comma-separated number to an integer:

  1. Use the str.replace[] method to remove the commas from the string.
  2. Use the int[] class to convert the string to an integer.

Copied!

my_str = '1,234,567' # ✅ Convert comma-separated numbers to an integer result = int[my_str.replace[',', '']] print[result] # 👉️ 1234567 # ✅ Convert comma-separated number to multiple integers result = [int[item] for item in my_str.split[',']] print[result] # 👉️ [1, 234, 567] # ------------------- # ✅ convert list of comma-separated numbers to integers my_list = ['1,23', '4,56', '7,89'] result = [int[item.replace[',', '']] for item in my_list] print[result] # 👉️ [123, 456, 789]

The first example converts a comma-separated number to an integer.

Copied!

my_str = '1,234,567' result = int[my_str.replace[',', '']] print[result] # 👉️ 1234567

We used the str.replace[] method to remove the commas from the string.

Copied!

my_str = '1,234,567' print[my_str.replace[',', '']] # 👉️ '1234567'

The str.replace method returns a copy of the string with all occurrences of a substring replaced by the provided replacement.

The method takes the following parameters:

NameDescription
old The substring we want to replace in the string
new The replacement for each occurrence of old
count Only the first count occurrences are replaced [optional]

The method doesn't change the original string. Strings are immutable in Python.

The last step is to use the int[] class to convert the string to an integer.

To convert a comma-separated string to a list of integers:

  1. Use the str.split[] method to split the string on each comma.
  2. Use a list comprehension to iterate over the list of strings.
  3. Use the int[] class to convert each string to an integer.

Copied!

my_str = '1,234,567' result = [int[item] for item in my_str.split[',']] print[result] # 👉️ [1, 234, 567]

We used the str.split[] method to split the string into a list of strings.

Copied!

my_str = '1,234,567' print[my_str.split[',']] # 👉️ ['1', '234', '567']

We then used a list comprehension to iterate over the list.

List comprehensions are used to perform some operation for every element or select a subset of elements that meet a condition.

On each iteration, we use the int[] class to convert the current list item to an integer.

How do you print comma

In Python, to format a number with commas we will use “{:,}” along with the format[] function and it will add a comma to every thousand places starting from left. After writing the above code [python format number with commas], Ones you will print “numbers” then the output will appear as a “ 5,000,000”.

How do you take integers separated by comma in Python?

how to split an input in python by comma.
lst = input[]. split[',']#can use any seperator value inside '' of split..
print [lst].
#given input = hello,world..
#output: ['hello', 'world'].
#another example..
lst = input[]. ... .
print [lst].
#given input = hello ; world ; hi there..

How do you print numbers with commas as thousands separators?

we can use my_string = '{:,. 2f}'. format[my_number] to convert float value into commas as thousands separators.

How do you read comma separated values in Python?

Steps to read a CSV file:.
Import the csv library. import csv..
Open the CSV file. The .open[] method in python is used to open files and return a file object. ... .
Use the csv.reader object to read the CSV file. csvreader = csv.reader[file].
Extract the field names. ... .
Extract the rows/records. ... .
Close the file..

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