Data stored in a csv file can often contain JSON objects in one of the fields. The
csv data can easily be loaded into a Pandas Dataframe for analysis. Fields of
interest in the JSON object can also be extracted into their own column easily using
TabularData was introduced in iOS 15 and can be used to load data from csv or json
format into a DataFrame to explore and manipulate. This is not Python Pandas, but it
does provide some basic functionality for exploring data and is fast and efficient.
In this article, the data on the deaths from Covid is loaded, …
There is a filter method on Pandas DataFrame, but it is limited to only filtering
on the labels on the index columns. There are multiple ways to filter a DataFrame to
focus on the information required. This article demonstrates a number of ways to
filter data in a DataFrame.