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+---
+title: "Pandas Extending & Plotting"
+numberOfPeople: "5-10" # How many people you expect to be able to accommodate.
+pythonLevel: "Intermediate" # Any, Beginner, Intermediate, or Advanced.
+contactPerson: # The main person to reach out to regarding the sprint.
+  name: "Julian Harbeck"
+  email: harbeck@tu-berlin.de
+  github: https://github.com/Julian-Harbeck
+  twitter:
+links: # Add as many links as relevant.
+  - title: "Project pandas GitHub repo"
+    url: "https://github.com/pandas-dev/pandas/"
+  - title: "Project astropy GitHub repo"
+    url: "https://github.com/astropy/astropy"
+  - title:
+      "Project astropy-pandas GitHub repo (extending pandas with astropy object
+      support)"
+    url: "https://github.com/janpipek/pandas-units-extension"
+  - title:
+      "Project skyfield-pandas GitHub repo (extending pandas with skyfield
+      object support)"
+    url: "https://github.com/Julian-Harbeck/pandas-skyfield-extension"
+---
+
+Pandas has a powerful extension API that allows other libraries to create their
+own dtype and ExtensionArray (EA) and define their behaviour, e.g. arithmetic
+operation with scalars and arrays. In the past year I have both worked on the
+pandas EA API (e.g. adding a plotting API) and implementing/updating EA for
+other packages (astropy, skyfield, see links above). In `astropy-pandas` we have
+implemented an EA supporting `Quantity` objects, arrays with a physical unit
+attached to them. This includes arithmetic operations, but also unit conversions
+(`ft` -> `m`) or reductions like `.mean()`, more examples can be found in
+[doc/units.ipynb](https://github.com/janpipek/pandas-units-extension/blob/main/doc/units.ipynb).
+`skyfield-pandas` implements an EA wrapper for the Skyfield library for orbit
+propagation of satellites and fast vectorized operations on them (exampels see
+[doc/skyfield_position.ipynb](https://github.com/Julian-Harbeck/pandas-skyfield-extension/blob/main/doc/skyfield_position.ipynb)).
+
+For this sprint I am open to work on one or more of the following topics
+depending where the most interested is in:
+
+- Conitinue working on one of the two existing extensions, giving an
+  introduction how they work and implement smaller new features (e.g. JSON
+  serialization, accumulative operations) including tests.
+- Start the development of an entirely new EA. Which array-like object did you
+  always wanted to be compatible with pandas including vectorized operations?
+  Let's develop a first working prototype of an EA supporting the basic
+  functionallity.
+- Working on pandas directly, how to write a good first issue, how to implement
+  and test a new feature locally and how to create a good PR. I am not an export
+  on the whole pandas package yet as I have only joined the team recently, but I
+  have worked especially on the ExtensionArray and plotting API.