#data_manipulation

[edujournalblogs]

Pandas for Data Science

Pandas are powerful libraries in python for data manipulation and analysis, providing data structure and functionality for efficient operations.it is well suited for working with tabular data such as spreadsheets or database. Also, Pandas help in Data Cleaning, Data manipulation, pre-processing, sorting etc. from the Data Frame. It is built on top of NumPy library and the data is used for Data Visualization in Seaborn, Matplotlib, Plotty etc.

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[phonemantra-blog]

The update is available for Windows and macOS In 2020, scientists decided to simply rework the alphanumeric characters they used to represent genes, rather than try to figure out the Excel function that interpreted their data as dates and automatically reformatted it. Recently, a member of the Excel team announced that the company is releasing an update for Windows and macOS. Excel's automatic conversions are designed to make entering certain types of frequently entered data, such as numbers and dates, easier and faster. But for scientists, this feature can corrupt input data, as a 2016 study found. [caption id="attachment_72975" align="aligncenter" width="780"] Microsoft Fixes Excel Function[/caption] Microsoft Fixes Excel Function That Was Breaking Scientific Data Microsoft detailed the update on its blog, adding an option in Settings to “Convert continuous letters and numbers to a date.” The update builds on the automatic data conversion settings the company added last year, which included Excel's ability to let you load a file without automatic conversion so you can be sure the feature won't mess anything up. Microsoft's blog has caveats - for example, Excel avoids conversion by storing data as text, which means the data may not work for further calculations. There is also a known issue where conversions cannot be disabled when running macros.