The latest articles on DEV Community by Ifiokobong Akpan (@ifiokobong_akpan_86dc8bf1). https://dev.to/ifiokobong_akpan_86dc8bf1 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1615284%2F177e5c64-c66d-4804-bbcb-32888e3b1228.jpg https://dev.to/ifiokobong_akpan_86dc8bf1 en Ifiokobong Akpan Fri, 16 Aug 2024 12:06:04 +0000 https://dev.to/ifiokobong_akpan_86dc8bf1/deprecated-fillnamethodffil-method-in-pandas-discovered-1pm8 https://dev.to/ifiokobong_akpan_86dc8bf1/deprecated-fillnamethodffil-method-in-pandas-discovered-1pm8 <p>In the fast-evolving world of data science and analysis, Python's Pandas library has long been a trusted tool for handling and manipulating data. One of its many powerful features is the ability to fill missing values using the .fillna() method, which allows users to fill NaN (Not a Number) values in a DataFrame or Series. Traditionally, this method has supported the use of various techniques, including forward filling (method="ffill") and backward filling (method="bfill"), to populate missing data. However, recent developments have brought to light the deprecation of the .fillna(method="ffill") method, causing a stir among data professionals.</p> <ul> <li>diuhijd</li> <li>sebfhjdf</li> <li>sbgfkghb</li> </ul> <p>``</p> <p><strong>What Does "Deprecation" Mean?</strong><br> Deprecation in the context of software refers to the process of phasing out a feature or functionality. While deprecated features may still be available for use, they are no longer being actively maintained or updated. Eventually, these features are often removed from the software entirely, making it crucial for users to transition to alternative solutions.</p> <p>The .fillna(method="ffill") Method: </p> <h3> A Brief Overview Deprecated Pandas ffill method </h3> <p>The .fillna() method in Pandas has been a go-to function for data scientists and analysts when dealing with missing data. The method="ffill" argument, short for "forward fill," is used to propagate the last valid observation forward to the next valid point. This is particularly useful in time series data where a previous value might logically fill a missing one.</p> <p><a href="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fj1vpoai8b76kyxeczrvl.png" class="article-body-image-wrapper"><img src="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fj1vpoai8b76kyxeczrvl.png" alt="Image description" width="800" height="327"></a></p> pandas ffill deprecated fillna Ifiokobong Akpan Wed, 12 Jun 2024 12:39:30 +0000 https://dev.to/ifiokobong_akpan_86dc8bf1/my-first-blog-post-on-pgadmin-576a https://dev.to/ifiokobong_akpan_86dc8bf1/my-first-blog-post-on-pgadmin-576a <p>This is how i was able to generate and save erd in pgadmin.</p> <p><a href="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fgg9qb6p0z5eo93gd21bc.png" class="article-body-image-wrapper"><img src="https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fgg9qb6p0z5eo93gd21bc.png" alt="Image description" width="800" height="456"></a></p>