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Rename data-prototype to mpl-data-containers
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.gitignore

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# setuptools_scm collateral
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data_prototype/_version.py
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mpl_data_containers/_version.py

CONTRIBUTING.rst

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Report Bugs
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~~~~~~~~~~~
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Report bugs at https://github.com/tacaswell/data_prototype/issues.
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Report bugs at https://github.com/matplotlib/data-prototype/issues.
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If you are reporting a bug, please include:
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Write Documentation
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~~~~~~~~~~~~~~~~~~~
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data_prototype could always use more documentation, whether
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as part of the official data_prototype docs, in docstrings,
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mpl_data_containers could always use more documentation, whether
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as part of the official mpl_data_containers docs, in docstrings,
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or even on the web in blog posts, articles, and such.
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Submit Feedback
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~~~~~~~~~~~~~~~
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The best way to send feedback is to file an issue at https://github.com/tacaswell/data_prototype/issues.
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The best way to send feedback is to file an issue at https://github.com/matplotlib/mpl_data_containers/issues.
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If you are proposing a feature:
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Get Started!
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------------
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Ready to contribute? Here's how to set up `data_prototype` for local development.
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Ready to contribute? Here's how to set up `mpl_data_containers` for local development.
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1. Fork the `data_prototype` repo on GitHub.
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1. Fork the `mpl_data_containers` repo on GitHub.
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2. Clone your fork locally::
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$ git clone [email protected]:your_name_here/data_prototype.git
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$ git clone [email protected]:your_name_here/mpl_data_containers.git
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3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development::
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$ mkvirtualenv data_prototype
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$ cd data_prototype/
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$ mkvirtualenv mpl_data_containers
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$ cd mpl_data_containers/
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$ python setup.py develop
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4. Create a branch for local development::
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2. If the pull request adds functionality, the docs should be updated. Put
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your new functionality into a function with a docstring, and add the
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feature to the list in README.rst.
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3. The pull request should work for Python 2.7, 3.3, 3.4, 3.5 and for PyPy. Check
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https://travis-ci.org/tacaswell/data_prototype/pull_requests
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and make sure that the tests pass for all supported Python versions.
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3. The pull request should work for all supported python versions.
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MANIFEST.in

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recursive-include docs *.rst conf.py Makefile make.bat
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include data_prototype/_version.py
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include mpl_data_containers/_version.py
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# If including data files in the package, add them like:
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# include path/to/data_file

README.rst

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==============
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data_prototype
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mpl_data_containers
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==============
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Experimental code for the upcoming Matplotlib data refactor.

docs/source/api/index.rst

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Containers
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==========
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.. automodule:: data_prototype.containers
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.. automodule:: mpl_data_containers.containers
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:members:
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:undoc-members:
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Wrappers
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========
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.. automodule:: data_prototype.wrappers
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.. automodule:: mpl_data_containers.wrappers
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:members:
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:undoc-members:
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.. automodule:: data_prototype.patches
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.. automodule:: mpl_data_containers.patches
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:members:
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:undoc-members:

docs/source/conf.py

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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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#
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# data_prototype documentation build configuration file, created by
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# mpl_data_containers documentation build configuration file, created by
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# sphinx-quickstart on Thu Jun 28 12:35:56 2018.
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#
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# This file is execfile()d with the current directory set to its
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# sys.path.insert(0, os.path.abspath('.'))
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from pathlib import Path
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import data_prototype
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import mpl_data_containers
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# are we running circle CI?
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CIRCLECI = "CIRCLECI" in os.environ
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],
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"filename_pattern": "^((?!sgskip).)*$",
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"gallery_dirs": ["gallery"],
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"doc_module": ("data_prototype",),
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"doc_module": ("mpl_data_containers",),
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"reference_url": {
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"matplotlib": None,
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},
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master_doc = "index"
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# General information about the project.
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project = "data_prototype"
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project = "mpl_data_containers"
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copyright = "2022, Thomas A Caswell"
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author = "Thomas A Caswell"
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#
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# The short X.Y version.
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version = data_prototype.__version__
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version = mpl_data_containers.__version__
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# The full version, including alpha/beta/rc tags.
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release = data_prototype.__version__
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release = mpl_data_containers.__version__
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# The language for content autogenerated by Sphinx. Refer to documentation
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# for a list of supported languages.
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# -- Options for HTMLHelp output ------------------------------------------
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# Output file base name for HTML help builder.
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htmlhelp_basename = "data_prototype"
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htmlhelp_basename = "mpl_data_containers"
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# -- Options for LaTeX output ---------------------------------------------
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latex_documents = [
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(
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master_doc,
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"data_prototype.tex",
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"data_prototype Documentation",
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"mpl_data_containers.tex",
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"mpl_data_containers Documentation",
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"Contributors",
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"manual",
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),
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# One entry per manual page. List of tuples
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# (source start file, name, description, authors, manual section).
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man_pages = [
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(master_doc, "data_prototype", "data_prototype Documentation", [author], 1)
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(
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master_doc,
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"mpl_data_containers",
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"mpl_data_containers Documentation",
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[author],
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1,
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)
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]
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texinfo_documents = [
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(
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master_doc,
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"data_prototype",
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"data_prototype Documentation",
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"mpl_data_containers",
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"mpl_data_containers Documentation",
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author,
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"data_prototype",
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"mpl_data_containers",
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"Experimental code for the upcoming Matplotlib data refactor.",
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"Miscellaneous",
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),

docs/source/index.rst

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You can adapt this file completely to your liking, but it should at least
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contain the root `toctree` directive.
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data_prototype Documentation
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mpl_data_containers Documentation
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============================
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This is prototype development for the next generation of data structures for

docs/source/installation.rst

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At the command line::
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$ pip install git+https://github.com/tacaswell/data-prototype.git@main
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$ pip install git+https://github.com/matplotlib/data-prototype.git@main

examples/2Dfunc.py

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import matplotlib.pyplot as plt
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import numpy as np
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from data_prototype.artist import CompatibilityAxes
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from data_prototype.image import Image
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from data_prototype.containers import FuncContainer
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from mpl_data_containers.artist import CompatibilityAxes
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from mpl_data_containers.image import Image
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from mpl_data_containers.containers import FuncContainer
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from matplotlib.colors import Normalize
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examples/animation.py

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import matplotlib.pyplot as plt
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from matplotlib.animation import FuncAnimation
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from data_prototype.conversion_edge import Graph
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from data_prototype.description import Desc
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from mpl_data_containers.conversion_edge import Graph
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from mpl_data_containers.description import Desc
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from data_prototype.artist import CompatibilityAxes
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from data_prototype.line import Line
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from data_prototype.text import Text
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from data_prototype.conversion_edge import FuncEdge
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from mpl_data_containers.artist import CompatibilityAxes
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from mpl_data_containers.line import Line
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from mpl_data_containers.text import Text
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from mpl_data_containers.conversion_edge import FuncEdge
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class SinOfTime:

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