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 Dataframe.Apply.

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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, …

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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.

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