The Fix implemented was: The entire login flow was revamped and the
By: Sfb Boyo
Tags: Games, Babies, Trump, Education, Health

The function format_excel() above accepts writer as a parameter which is of type XlsxWriter. To automate this process, depending on your workflow, you can add this as a function to your scripts by calling format_excel() wherever you are using with pd.ExcelWriter( … ) as writer and pass writer to format_excel( … , writer=writer).

Save the above snippet to your local machine as xlsxwriter_hello_world.py. To execute the script, navigate to the directory where the file is saved and run the command python xlsxwriter_hello_world.py. The script will generate a file called testing_xlsxwriter.xlsx with ‘Hello World’ located in cell A1.

Air fresheners are another example of this phenomenon, specifically ones that convey freshness. Here, natural smell provides the true data, “how clean is this car, or how new is this car.” Air fresheners attempt to falsify that data. The car is not going to smell like a “new car” no matter how many little “new car smell” trees you hang from your rear view mirror.

Amy Cesal is a designer specializing in data visualization. She is a co-founder of the Data Visualization Society and currently serves on the board. Amy is passionate about building style guidelines for data visualization, trying to make everything, including charts, accessible, creating bespoke data visualization and experimenting with the boundaries between data and art. She holds a masters in Information Visualization from MICA.

There are many natural data smells that we use to avoid harm. The smell of food provides us with data about its appeal, nutrition, or toxicity. For example, the smell of burning food tells us how our cooking is going (badly), while the smell of rotting food tells us it is time to clean out the fridge. Indeed, the very fact that certain things smell good or revolting to us is the result of thousands of years of evolutionary selection: things which are dangerous to us tend to smell bad, and things that are good for us tend to smell good.

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XlsxWriter is a powerful Python package that you as Data Analysts can use to improve your efficiency when outputting data. You can easily use the XlsxWriter package to apply table formatting to Excel tables along with auto-fitting column widths to the data you extract.

You can use XlsxWriter as an engine for Pandas ExcelWriter class to output a DataFrame to Excel. Below we have included a simple script which will create a Pandas DataFrame with three columns and output it to an Excel file.

Something that I often find myself repetitively doing is opening an Excel file, formatting the data into a table and auto fitting the column widths. Whilst this isn’t a labour intensive job, I find myself doing it 5–10 times a day, so the time spent over the week builds up.We spend a lot of time thinking about visualizing data here at the Data Visualization Society, and rightly so; it is a great way to use our one of our most powerful senses (sight!) to make sense of data! However, I’m intrigued by moving past just the visualization of data and into other senses, like sound (TwoTone: a data sonification app and Loud Numbers: a data sonification podcast), touch (dataphys.org: a list of physical visualizations and DayDohViz: play-doh visualizations), and particularly smell!A few weeks after moving into a new, old house and working from home all day, I felt sick. I called my husband who was traveling, and begged him to come home early for the weekend.

For example, before going in for a kiss, you might pop a stick of mint gum or a swig of mouthwash to freshen your breath. The scent signals real data: hygiene level. You want to appear clean, like you just brushed your teeth, even though that may not be true. There’s a similar motivation for applying perfume or cologne before going out on a date. These things cover up the true data (your scent), which might be less appealing.

Line 3 within the above snippet creates a worksheet object by using the sheet_name parameter. Lines 6–7 collect the headings from the passed DataFrame along with the shape. The DataFrame headings will become the Excel table headings, and the DataFrame shape will guide where the script will apply the Excel table formatting. Line 10 creates the Excel table using the DataFrame column names and shape. Line 13–15 then loops through each column and calculates the maximum length string that appears and sets the width to that value plus two.If you are new to Pandas DataFrames, we have written an in-depth guide explaining Pandas Series & DataFrames which you can reference. Lines 5–11 within the above Python snippet creates a populated DataFrame and lines 13–14 uses Pandas built-in ExcelWriter function to create the Excel file.Natural gas is one of a few instances of man-made data smellification. Mercaptan liquid is added into the naturally odorless natural gas so that leaks can be readily detected. It was because of this smellification process that my husband could notice the leak. Without this intentional addition of scent, natural gas leaks would be impossible for the average consumer to detect.

Now that we have learnt how to output a DataFrame to Excel, your next steps should be learning how to navigate a DataFrame through iteration or cleaning the extracted data before outputting it to Excel.

Leanne Wijnsma and Froukje Tan started The Smell of Data project to alert internet users of data leaks on personal devices using smell. I’m excited by this project of adding smell as a way to detect the presence of information. We don’t use our sense of smell as often as our other senses, and this project uniquely harnesses that with a custom scent.

The Smell of Data recognizes when you visit an unprotected website on an unsecured WiFi network or Hotspot. The Scent dispenser will release a puff of the Smell of Data as a warning signal.

This is not the only common case of data smellification, however. In fact, we often add smell to things to give “false data” or to give the impression that something is better than it actually is.

He walked in the door at 11pm, and announced “it smells like gas in here.” We called the gas company, and the technician found 4 gas leaks throughout the house. I couldn’t detect the small increase in the amount of natural gas, but coming in from fresh air, my husband could. He probably saved my life.

Amy Cesal is a designer specializing in data visualization. She is a co-founder of the Data Visualization Society and currently serves on the board. Amy is passionate about building style guidelines for data visualization, trying to make everything, including charts, accessible, creating bespoke data visualization and experimenting with the boundaries between data and art. She holds a masters in Information Visualization from MICA.

Being able to extract data from a database and output it to Excel is a crucial skill to have as a Data Analyst. Today we are going to look at using a Python package called XlsxWriter to output a small DataFrame to Excel. XlsxWriter is a powerful package that you can use to auto-format Excel worksheets, change the styling and insert objects such as tables.

There are several ways that you can install XlsxWriter. The easiest method would be using the Python package installer called pip. Open up a terminal and run the command pip install xlsxwriter.