Legacy – Capabilities of Pandas
- 01:09
Learn about the features available in the Pandas Library.
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Glossary
Feature Of Pandas Pandas LibraryTranscript
One of the main reasons that we use pandas is because we want to load a data set or an Excel file into Python in order to visualise it and analyse it. Excel is quite good with smaller data sets. But once the data size increases Excels incomponent, meaning we cannot at least open the Excel file it takes a long time. So that's the reason we want pandas are firstly Python to be able to take in a data file and analyse it. In order for Python to take in a data file. We need some kind of a medium that will allow us to do it. That's the reason we use pandas library. The pandas library lets you import any kind of a data file even an SQL database into Python to clean it and to prepare it for further data analysis and visualisation or even modelling to be able to make some predictions. Pandas would import data from different formats and would let you transform it into a DataFrame. That DataFrame can further be used to either clean the data for visualisation using matplotlib or even store the clean transform data into a database to refer back in the future for further analysis or reference or even modelling