6 Things That You Probably Didn’t Know You Could Do With Pandas
<p>With its powerful and flexible functionalities, Pandas has become an indispensable tool for data scientists and analysts.</p>
<p>Referring to the <a href="https://pepy.tech/project/pandas" rel="noopener ugc nofollow" target="_blank">statistics reported by PyPI</a>, can you imagine that Padnas receives over <strong>3M downloads daily</strong>?</p>
<p>Of course, this statistic gives very little information about the number of users. Nonetheless, it does highlight its widespread popularity.</p>
<p>While many of its users are already aware of its fundamental features, there are still many hidden gems in pandas that you probably aren’t aware of.</p>
<p>Thus, in this blog, I’ll share six interesting things you can do with Pandas, that can supercharge your data analysis.</p>
<p><strong>Let’s begin </strong></p>
<h1>#1) Display plots in a DataFrame column</h1>
<p>Jupyter is a web-based IDE. Thus, whenever we print a DataFrame, it is rendered using HTML and CSS.</p>
<p>This allows us to format the output just like any other web page.</p>
<p>One interesting way to format this is by embedding inline plots which appear as a column of a dataframe, also called sparklines, to get something like this:</p>
<p><a href="https://towardsdatascience.com/6-things-that-you-probably-didnt-know-you-could-do-with-pandas-d365b3362a55"><strong>Website</strong></a></p>