Merge remote-tracking branch 'upstream/master'

Author: Marc Garcia

_posts/2019-06-05-pandas-viz.md

@@ -50,9 +50,12 @@ In this sprint we will continue the work, by working on different tasks:
 - Document current pandas functionality
 
 We also can work on other pandas issues, for example:
-- https://github.com/pandas-dev/pandas/issues/26601
-- https://github.com/pandas-dev/pandas/issues/24173 / https://github.com/pandas-dev/pandas/issues/24661
-- https://github.com/pandas-dev/pandas/issues/24507
+- pytest-azurepipelines: <https://github.com/pandas-dev/pandas/issues/26601>
+- Documentation warnings: <https://github.com/pandas-dev/pandas/issues/24173> / <https://github.com/pandas-dev/pandas/issues/24661>
+- PandasArray in API docs: <https://github.com/pandas-dev/pandas/issues/24507>
+- pyarrow failure: <https://github.com/pandas-dev/pandas/issues/26656>
+- Organise dependencies: <https://github.com/pandas-dev/pandas/issues/26659>
+- Remove isort dependency: <https://github.com/pandas-dev/pandas/issues/26661>
 - Feel free to propose yours
 
 As usual, we will give priority to join the sprint to the next people:

_posts/2019-06-26-pandas-viz2.md

@@ -0,0 +1,86 @@
+---
+category: "london"
+title: "pandas visualisation vol.2"
+level: "All"
+time: "18:00"
+rsvp_link: https://www.meetup.com/Python-Sprints/events/262426168/
+project:
+sponsor: ecom
+---
+
+Let's continue working on visualisation in `pandas`.
+
+Plotting in `pandas` is very easy, mainly by using `Series.plot()` and `DataFrame.plot()` methods.
+There is a plotting subsystem in `pandas` based in `matplotlib` that implement different types of
+plots (e.g. lines, bars, boxplots, kde...).
+
+In the last months, several new projects have been create to address new use cases for visualising
+in `pandas`. For example, to generate interactive plots. Some of these projects are:
+
+- https://hvplot.pyviz.org
+- https://github.com/PatrikHlobil/Pandas-Bokeh
+- https://github.com/altair-viz/pdvega/
+
+Those libraries have been monkey patching `pandas` to be able to plot easily, so plotting can be
+done by using `DataFrame.hvplot()`, `DataFrame.plot_bokeh()`...
+
+But a better design would be to decouple the existing plotting code in pandas into an extension
+registered with the `pandas` extension capabilities, and be able to select with an option with
+plotting backend the user wants to use. The resulting code would be:
+
+```python
+pandas.set_option('plotting.backend', 'hvplot')
+df.plot()
+```
+
+With this architecture, there are several advantages:
+
+- Developing new plotting backends for pandas becomes much simpler
+- Plotting backends share a common API
+- Users of pandas don't need to learn a new syntax for each plugin
+- Migrating existing code becomes trivial, by just adding a single line of code setting the option for the backend
+- Internal pandas code becomes cleaner, with the plotting code fully decoupled from the rest
+
+Work on this is already going on, with a first PR that decoupled the current plotting code:
+
+https://github.com/pandas-dev/pandas/pull/26414
+
+In this sprint we will continue the work, by working on different tasks:
+- Defining and documenting the pandas plotting API
+- Porting [hvplot](https://hvplot.pyviz.org/) to the new plotting API
+- Improve pandas plotting documentation
+- Try to move plots like andrews_curves, lag_plot... to the "standard" `.plot(kind=X)` API
+
+We also can work on other pandas issues, for example:
+- pytest-azurepipelines: <https://github.com/pandas-dev/pandas/issues/26601>
+- Disable codecov commenting: <https://github.com/pandas-dev/pandas/issues/26896>
+- Implement web service to write GitHub comments with the CI results <https://github.com/pandas-dev/pandas/issues/26930>
+- Validate title capitalisation in the docs <https://github.com/pandas-dev/pandas/issues/26941>
+- Fix Azure pipelines problem with $PATH <https://github.com/pandas-dev/pandas/issues/26962>
+- Fix `pipe` example in the documentation <https://github.com/pandas-dev/pandas/issues/27054>
+- Bug in the validation of docstrings <https://github.com/pandas-dev/pandas/issues/27055>
+- Feel free to propose yours
+
+As usual, we will give priority to join the sprint to the next people:
+
+- Experienced open source contributors
+- People from underrepresented minorities in our sprints
+
+Agenda
+------
+
+- 6:00pm: Food and networking
+- 6:30pm: Presentation of the project and the sponsor
+- 6:45pm: Coding
+
+
+The day of the sprint
+---------------------
+
+- Bring your own laptop if you can
+- Join the [Gitter channel](https://gitter.im/py-sprints/pandas-bokeh) of the sprint
+
+Code of Conduct
+---------------
+
+- Please be reminded that all participants are expected to follow the [NumFOCUS Code of Conduct](https://numfocus.org/code-of-conduct)

_sponsors/ecom.md

@@ -0,0 +1,10 @@
+---
+obj_id: ecom
+name: "Ecom Recruitment"
+logo: static/images/sponsors/ecom.png
+link: https://www.interquestgroup.com/brands/ecom
+address: "Cannon Green, 27 Bush Lane, London, United Kingdom, EC4R 0AA"
+lat: 51.510744
+lng: -0.0917458
+---
+ECOM is the digital talent brand of InterQuest Group. We have won the award for being LinkedIn’ most socially engaged staffing agency in 2016, 2017 and 2018. We operate at the forefront of digital transformation. We recruit the in-demand, technical skills that are shaping the new digital economy across analytics, information security, digital, information technology, networks & change management. We look to partner with our clients to bring optimized solutions to help them create opportunities for talented individuals across the verticals we serve.

pandas/guide/_sources/pandas_setup.rst.txt

@@ -104,7 +104,7 @@ To fetch the latest updates from the pandas repository, follow the steps in
 
 * Create a conda environment: ::
 
-    conda env create -n pandas_dev -f <path-to-pandas-dir>/ci/environment-dev.yaml
+    conda env create -n pandas_dev -f <path-to-pandas-dir>/environment.yaml
 
   .. note::
     **Windows users**: If you're copy-pasting the path, replace all pasted
@@ -116,7 +116,7 @@ To fetch the latest updates from the pandas repository, follow the steps in
 
 * Install pandas development dependencies: ::
 
-    conda install -c defaults -c conda-forge --file=<path-to-pandas-dir>/ci/requirements-optional-conda.txt
+    conda install -c defaults -c conda-forge --file=<path-to-pandas-dir>/requirements-dev.txt
 
 4. Compile C code in pandas
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~