Pandas Time Series Internals

Handling temporal data and performing string manipulations at scale. Pandas Time Series Internals turns that idea into something you can manipulate directly and watch respond.

Handling temporal data and performing string manipulations at scale. It focuses on DatetimeIndex, Resampling, str accessor, dt accessor, Timedelta from the “Specialized Data: Time Series and Text” section.

The sliders change the key inputs. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

Pandas is the definitive open-source Python library for high-performance data analysis and manipulation, centered around its powerful DataFrame and Series structures. This documentation course covers the entire ecosyste… This demo is the interactive piece for the “Specialized Data: Time Series and Text” section. Open the full pandas documentation course wiki at https://www.getlykke.com/explore/public/pandas-documentation-fd56bdc9-3ee0-47fa-b411-17a802c549ef for notes, flashcards, quizzes and the other demos.

You'll build intuition for DatetimeIndex, Resampling, str accessor, dt accessor, Timedelta — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on pandas documentation alone.