USEncrypt® + Pandas#
As per Pandas’ website, Pandas is a “fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.”
It relies on their
DataFrame object, which can contain multiple rows and columns of data. Due to its many applications, we have extended
DataFrame objects to support objects encrypted with USEncrypt®, bringing all their benefits to working with encrypted data. For more information about how to work with encrypted
DataFrame objects, please refer to the following demos:
- USEncrypt® + Pandas: Basic Operations
A collection of basic overloaded Pandas operations available for encrypted data, showcasing the USEncrypt® + Pandas compatibility, particularly encrypted
- USEncrypt® + Pandas: Encrypted DataFrame Search
An example showing how to perform a simple search on a Pandas
DataFrameencrypted with the USEncrypt® library, further showcasing the benefits of the USEncrypt® + Pandas compatibility.
- USEncrypt® + Pandas: Getting Averages
A simple example working with a Pandas
DataFrameencrypted with the USEncrypt® library. Using USEncrypt®, Pandas, and NumPy, we are able to easily manipulate the encrypted sample Height-Weight to find the mean height and weight for each category.