Comments can be added using in python

This is the dataframe: I want at the column endingBalanceLC to add a comment just in the yellow cell. The problem is that I don't know exactly where this account and the aferent total are in my dataframe because the position can always change,depends the excel. The comment which I want to add is "this is a balance amount". I was thinking to use xlsxwriter but I don't know how. Here is an example of how you can use openpyxl to read in a file, detect cell(s) with a certain background color, and add a comment to these cells. import openpyxl from openpyxl import load_workbook from openpyxl.comments import Comment excel_file = 'sample.xlsx' wb = load_workbook(excel_file, data_only = True) sh = wb['Sheet1'] # iterate through excel and display data for i in range(1, sh.max_row+1): for j in range(1, sh.max_column+1): ## check if the background is yellow if sh.cell(row=i, column=j).fill.start_color.index == 'FFFFFF00': sh.cell(row=i, column=j).comment = Comment("This is a balance account", "author name") wb.save('commented_sample.xlsx') You can either overwrite the original file, or create a new xlsx file which will look like this:

PEP 8 – Style Guide for Python Code | peps.python.org Following system colour scheme Selected dark colour scheme Selected light colour scheme Python Enhancement Proposals • • • PEP 8 Toggle light / dark / auto colour theme PEP 8 – Style Guide for Python Code Author : Guido van Rossum , Barry Warsaw , Nick Coghlan Status : Active Type : Process Created : 05-Jul-2001 Post-History : 05-Jul-2001, 01-Aug-2013 Table of Contents • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • This document gives coding conventions for the Python code comprising the standard library in the main Python distribution. Please see the companion informational PEP describing This document and This style guide evolves over time as additional conventions are identified and past conventions are rendered obsolete by changes in the language itself. Many projects have their own coding style guidelines. In the event of any conflicts, such project-specific guides take precedence for that project. One of Guido’s key insights is that code is read much more often than it is written. The guidelines provided here are intended to improve the readability of code and make it consistent across the wide spectrum of Python code. As A style guide is about consistency. Consistency with this style guide is important. Consistency within a project is more important. Consistency within one module or function is the most important. However, know when to be inconsistent – sometimes style guide ...

What is a Python comment? In Python, comments are denoted with a hashtag symbol. And whatever is written after this will be ignored by the code editor. Python comments can be used to serve different purposes when used in code, for instance, they can be used to make code more readable, or to prevent the execution of a piece of code. For example, if we create a simple ‘add’ and we give it to numbers and it returns some of those numbers, x plus y. This is quite a simple function. However, we might want to put in here a comment to remind ourselves of what we did and we could use this with the hashtag symbol which says this adds x and y values together. Now when someone goes back to your code, they can easily see what this function does. Although this is really a simple function, imagine this was a complicated function with lots of things going on. Python comments would be really useful. It is a good habit for developers to write Python comments that explain what their code is doing, as mentioned earlier comments can also be used to stop some part of the code from running. Maybe if we had a print statement just to test what was going on with the code. So we could say, let’s run this with some values 5 and 8. Now when we run this, we’re actually going to get the printed value out because we are printing it inside the function. But let’s say that we now don’t want the print function to run within the function and we want it to stop running for whatever reason, but we want to leav...

Writing code in Python can be challenging. That’s why it’s important to be as clear as possible when naming variables and functions. A good name will explain what a variable is used for, or what a function does. However, good naming conventions will only get you so far. What if we’re dealing with complex logic or an otherwise confusing algorithm? Or what if we need to share and explain our intentions with another programmer? It would be helpful to leave notes for ourselves, or others, in the code. That’s what Python comments are for. With comments, we can make our programs easier to understand, and easier to make changes to later. Python comments are ignored by the interpreter, so they won’t interfere with how your code runs. Topics we’ll cover: • Why writing comments is important • How to use comments to improve your Python code • Best practices for commenting in Python When to Write Python Comments? Let’s face it, programming isn’t easy; we could all use some help. Comments allow a programmer to add some extra information that explains what’s happening in the code. If you’re working on a large project, it can be difficult to keep track of everything that’s going on. This is especially true when returning to a project after a long absence. Such a scenario is more common than you might think. Programmers are often required to juggle many projects at once. Coming back to a project is often painful. Updating a project is much easier if the code is clear, follows styling guid...

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Comments in Python According to the • Comments should always be complete and concise sentences. • It’s better to have no comment at all than one that’s difficult to understand or inaccurate. • Comments should be updated regularly to reflect changes in your code. • Too many comments can be distracting and reduce code quality. Comments aren’t needed where the code’s purpose is obvious. In Python, a line is declared as a comment when it begins with # symbol. When the Python interpreter encounters # in your code, it ignores anything after that symbol and does not produce any error. There are two ways to declare single-line comments: inline comments and block comments. Inline Comments Inline comments provide short descriptions of variables and simple operations and are written on the same line as the code statement: border = x + 10 # Make offset of 10px The comment explains the function of the code in the same statement as the code. Block Comments Block comments are used to describe complex logic in the code. Block comments in Python are constructed similarly to inline comments — the only difference is that block comments are written on a separate line: import csv from itertools import groupby # Get a list of names in a sequence from the csv file with open('new-top-firstNames.csv') as f: file_csv = csv.reader(f) # Skip the header part: (sr, name, perc) header = next(file_csv) # Only name from (number, name, perc) persons = [ x[1] for x in file_csv] # Sort the list by first lett...

What is a Python comment? In Python, comments are denoted with a hashtag symbol. And whatever is written after this will be ignored by the code editor. Python comments can be used to serve different purposes when used in code, for instance, they can be used to make code more readable, or to prevent the execution of a piece of code. For example, if we create a simple ‘add’ and we give it to numbers and it returns some of those numbers, x plus y. This is quite a simple function. However, we might want to put in here a comment to remind ourselves of what we did and we could use this with the hashtag symbol which says this adds x and y values together. Now when someone goes back to your code, they can easily see what this function does. Although this is really a simple function, imagine this was a complicated function with lots of things going on. Python comments would be really useful. It is a good habit for developers to write Python comments that explain what their code is doing, as mentioned earlier comments can also be used to stop some part of the code from running. Maybe if we had a print statement just to test what was going on with the code. So we could say, let’s run this with some values 5 and 8. Now when we run this, we’re actually going to get the printed value out because we are printing it inside the function. But let’s say that we now don’t want the print function to run within the function and we want it to stop running for whatever reason, but we want to leav...

PEP 8 – Style Guide for Python Code | peps.python.org Following system colour scheme Selected dark colour scheme Selected light colour scheme Python Enhancement Proposals • • • PEP 8 Toggle light / dark / auto colour theme PEP 8 – Style Guide for Python Code Author : Guido van Rossum , Barry Warsaw , Nick Coghlan Status : Active Type : Process Created : 05-Jul-2001 Post-History : 05-Jul-2001, 01-Aug-2013 Table of Contents • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • This document gives coding conventions for the Python code comprising the standard library in the main Python distribution. Please see the companion informational PEP describing This document and This style guide evolves over time as additional conventions are identified and past conventions are rendered obsolete by changes in the language itself. Many projects have their own coding style guidelines. In the event of any conflicts, such project-specific guides take precedence for that project. One of Guido’s key insights is that code is read much more often than it is written. The guidelines provided here are intended to improve the readability of code and make it consistent across the wide spectrum of Python code. As A style guide is about consistency. Consistency with this style guide is important. Consistency within a project is more important. Consistency within one module or function is the most important. However, know when to be inconsistent – sometimes style guide ...

Here is how a comment can be added in the wanted position (after XML declaration, before root element) with addprevious() method. from lxml import etree root = etree.fromstring('y') comment = etree.Comment('This is a comment') root.addprevious(comment) # Add the comment as a preceding sibling etree.ElementTree(root).write("out.xml", pretty_print=True, encoding="UTF-8", xml_declaration=True) Result (out.xml): y

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