Tag: data

How to drop duplicate rows in Pandas Python

Do you ever accidentally have repeat rows in your data Duplicates will be eliminated for you by Pandas Drop. Any duplicate rows or a subset of duplicate rows will be eliminated from your DataFrame by using Pandas DataFrame.drop duplicates(). ...
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LINQ for beginners: pick the right methods!

LINQ is a set of methods that help developers perform operations on sets of items. There are tons of methods – do you know which is the one for you? ...
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GraphQL errors: the Good, the Bad and the Ugly

Returning errors in GraphQL is a challenging task, and we tried a lot of different approaches over time. Keep reading to know what we’ve learned along the way. ...
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How to use Pandas to check cell value is NaN

This article explores how to use Pandas to determine whether a cell value is NaN (np.nan). The latter is often referred to as Not a Number or NaN. Pandas uses nump.nan as NaN. Call the numpy.isnan() function with the value supplied as an input to determine whether a value in a particular place in the Pandas database is NaN or not. ...
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How to get the current date and time in JavaScript

When developing web applications, it is necessary to include the current date and time on which a particular operation was performed according to the user’s local zone. This requirement can be filled out using the date class. For instance, when you submit data via a form, you may want to include the date that the data was created or when the data was submitted. ...
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How to add elements into an array in JavaScript

An array is a unique variable capable of holding more than one value. It is one of the most common datatypes used when working with an ordered list of values. It can hold many values under a single name, which can be accessed by referring to an index number. ...
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Pandas Get Index Values

We might need to retrieve the row or index names when examining real datasets, which are frequently very large, to carry out specific actions. Dataframe indexes refer to the indexes of rows, whereas available column names refer to the indexes of columns. Most of the time, indexes retrieve or store data within a dataframe. But by utilizing the .index property, we can also get the index itself. ...
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2022 Roundup of Web Research

We’ve started making a tradition of rounding up the latest front-end research at the end of each year. We did it in 2020 and again in 2021. Reports are released throughout the year by a bunch of different companies … 2022 Roundup of Web Research originally published on CSS-Tricks, which is part of the DigitalOcean family. You should get the newsletter. ...
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WordPress Plugin Development Best Practices: Template Files

When we talk about templates in WordPress we are normally referring to page template files in the theme. However, there are plugins that use template files to display content, and… Read more The post WordPress Plugin Development Best Practices: Template Files appeared first on Delicious Brains. ...
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Pandas Drop Column explained with examples

When working with data in Pandas, we might exclude a column or several columns from a Pandas DataFrame. They are often eliminated if columns or rows are no longer required for further research. There are several approaches. However, the .drop() approach in Pandas is the most effective. Columns in a DataFrame that are not related to the research can frequently be found. To focus on the remaining columns, such columns should be eliminated...
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