Rename data-prototype to mpl-data-containers

Author: ksunden

.gitignore

@@ -103,4 +103,4 @@ doc/_static/constrained_layout*.png
 
 # setuptools_scm collateral
 
-data_prototype/_version.py
+mpl_data_containers/_version.py

CONTRIBUTING.rst

@@ -13,7 +13,7 @@ Types of Contributions
 Report Bugs
 ~~~~~~~~~~~
 
-Report bugs at https://github.com/tacaswell/data_prototype/issues.
+Report bugs at https://github.com/matplotlib/data-prototype/issues.
 
 If you are reporting a bug, please include:
 
@@ -35,14 +35,14 @@ is open to whoever wants to implement it.
 Write Documentation
 ~~~~~~~~~~~~~~~~~~~
 
-data_prototype could always use more documentation, whether
-as part of the official data_prototype docs, in docstrings,
+mpl_data_containers could always use more documentation, whether
+as part of the official mpl_data_containers docs, in docstrings,
 or even on the web in blog posts, articles, and such.
 
 Submit Feedback
 ~~~~~~~~~~~~~~~
 
-The best way to send feedback is to file an issue at https://github.com/tacaswell/data_prototype/issues.
+The best way to send feedback is to file an issue at https://github.com/matplotlib/mpl_data_containers/issues.
 
 If you are proposing a feature:
 
@@ -54,17 +54,17 @@ If you are proposing a feature:
 Get Started!
 ------------
 
-Ready to contribute? Here's how to set up `data_prototype` for local development.
+Ready to contribute? Here's how to set up `mpl_data_containers` for local development.
 
-1. Fork the `data_prototype` repo on GitHub.
+1. Fork the `mpl_data_containers` repo on GitHub.
 2. Clone your fork locally::
 
-    $ git clone [email protected]:your_name_here/data_prototype.git
+    $ git clone [email protected]:your_name_here/mpl_data_containers.git
 
 3. Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development::
 
-    $ mkvirtualenv data_prototype
-    $ cd data_prototype/
+    $ mkvirtualenv mpl_data_containers
+    $ cd mpl_data_containers/
     $ python setup.py develop
 
 4. Create a branch for local development::
@@ -98,7 +98,5 @@ Before you submit a pull request, check that it meets these guidelines:
 2. If the pull request adds functionality, the docs should be updated. Put
    your new functionality into a function with a docstring, and add the
    feature to the list in README.rst.
-3. The pull request should work for Python 2.7, 3.3, 3.4, 3.5 and for PyPy. Check
-   https://travis-ci.org/tacaswell/data_prototype/pull_requests
-   and make sure that the tests pass for all supported Python versions.
+3. The pull request should work for all supported python versions.
 

MANIFEST.in

@@ -9,7 +9,7 @@ recursive-exclude * *.py[co]
 
 recursive-include docs *.rst conf.py Makefile make.bat
 
-include data_prototype/_version.py
+include mpl_data_containers/_version.py
 
 # If including data files in the package, add them like:
 # include path/to/data_file

README.rst

@@ -1,5 +1,5 @@
 ==============
-data_prototype
+mpl_data_containers
 ==============
 
 Experimental code for the upcoming Matplotlib data refactor.

docs/source/api/index.rst

@@ -7,7 +7,7 @@ API
 Containers
 ==========
 
-.. automodule:: data_prototype.containers
+.. automodule:: mpl_data_containers.containers
    :members:
    :undoc-members:
 
@@ -16,10 +16,10 @@ Containers
 Wrappers
 ========
 
-.. automodule:: data_prototype.wrappers
+.. automodule:: mpl_data_containers.wrappers
    :members:
    :undoc-members:
 
-.. automodule:: data_prototype.patches
+.. automodule:: mpl_data_containers.patches
    :members:
    :undoc-members:

docs/source/conf.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
-# data_prototype documentation build configuration file, created by
+# mpl_data_containers documentation build configuration file, created by
 # sphinx-quickstart on Thu Jun 28 12:35:56 2018.
 #
 # This file is execfile()d with the current directory set to its
@@ -23,7 +23,7 @@
 # sys.path.insert(0, os.path.abspath('.'))
 from pathlib import Path
 
-import data_prototype
+import mpl_data_containers
 
 # are we running circle CI?
 CIRCLECI = "CIRCLECI" in os.environ
@@ -72,7 +72,7 @@
     ],
     "filename_pattern": "^((?!sgskip).)*$",
     "gallery_dirs": ["gallery"],
-    "doc_module": ("data_prototype",),
+    "doc_module": ("mpl_data_containers",),
     "reference_url": {
         "matplotlib": None,
     },
@@ -104,7 +104,7 @@
 master_doc = "index"
 
 # General information about the project.
-project = "data_prototype"
+project = "mpl_data_containers"
 copyright = "2022, Thomas A Caswell"
 author = "Thomas A Caswell"
 
@@ -114,9 +114,9 @@
 #
 
 # The short X.Y version.
-version = data_prototype.__version__
+version = mpl_data_containers.__version__
 # The full version, including alpha/beta/rc tags.
-release = data_prototype.__version__
+release = mpl_data_containers.__version__
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -179,7 +179,7 @@
 # -- Options for HTMLHelp output ------------------------------------------
 
 # Output file base name for HTML help builder.
-htmlhelp_basename = "data_prototype"
+htmlhelp_basename = "mpl_data_containers"
 
 
 # -- Options for LaTeX output ---------------------------------------------
@@ -205,8 +205,8 @@
 latex_documents = [
     (
         master_doc,
-        "data_prototype.tex",
-        "data_prototype Documentation",
+        "mpl_data_containers.tex",
+        "mpl_data_containers Documentation",
         "Contributors",
         "manual",
     ),
@@ -218,7 +218,13 @@
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
 man_pages = [
-    (master_doc, "data_prototype", "data_prototype Documentation", [author], 1)
+    (
+        master_doc,
+        "mpl_data_containers",
+        "mpl_data_containers Documentation",
+        [author],
+        1,
+    )
 ]
 
 
@@ -230,10 +236,10 @@
 texinfo_documents = [
     (
         master_doc,
-        "data_prototype",
-        "data_prototype Documentation",
+        "mpl_data_containers",
+        "mpl_data_containers Documentation",
         author,
-        "data_prototype",
+        "mpl_data_containers",
         "Experimental code for the upcoming Matplotlib data refactor.",
         "Miscellaneous",
     ),

docs/source/index.rst

@@ -3,7 +3,7 @@
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
 
-data_prototype Documentation
+mpl_data_containers Documentation
 ============================
 
 This is prototype development for the next generation of data structures for

docs/source/installation.rst

@@ -4,4 +4,4 @@ Installation
 
 At the command line::
 
-    $ pip install git+https://github.com/tacaswell/data-prototype.git@main
+    $ pip install git+https://github.com/matplotlib/data-prototype.git@main

examples/2Dfunc.py

@@ -10,9 +10,9 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from data_prototype.artist import CompatibilityAxes
-from data_prototype.image import Image
-from data_prototype.containers import FuncContainer
+from mpl_data_containers.artist import CompatibilityAxes
+from mpl_data_containers.image import Image
+from mpl_data_containers.containers import FuncContainer
 
 from matplotlib.colors import Normalize
 

examples/animation.py

@@ -17,14 +17,14 @@
 import matplotlib.pyplot as plt
 from matplotlib.animation import FuncAnimation
 
-from data_prototype.conversion_edge import Graph
-from data_prototype.description import Desc
+from mpl_data_containers.conversion_edge import Graph
+from mpl_data_containers.description import Desc
 
 
-from data_prototype.artist import CompatibilityAxes
-from data_prototype.line import Line
-from data_prototype.text import Text
-from data_prototype.conversion_edge import FuncEdge
+from mpl_data_containers.artist import CompatibilityAxes
+from mpl_data_containers.line import Line
+from mpl_data_containers.text import Text
+from mpl_data_containers.conversion_edge import FuncEdge
 
 
 class SinOfTime:

examples/data_frame.py

@@ -11,9 +11,9 @@
 import numpy as np
 import pandas as pd
 
-from data_prototype.artist import CompatibilityArtist as CA
-from data_prototype.line import Line
-from data_prototype.containers import DataFrameContainer
+from mpl_data_containers.artist import CompatibilityArtist as CA
+from mpl_data_containers.line import Line
+from mpl_data_containers.containers import DataFrameContainer
 
 th = np.linspace(0, 4 * np.pi, 256)
 

examples/errorbar.py

@@ -11,8 +11,8 @@
 import numpy as np
 
 
-from data_prototype.wrappers import ErrorbarWrapper
-from data_prototype.containers import ArrayContainer
+from mpl_data_containers.wrappers import ErrorbarWrapper
+from mpl_data_containers.containers import ArrayContainer
 
 x = np.arange(10)
 y = x**2

examples/first.py

@@ -11,9 +11,9 @@
 import numpy as np
 import pandas as pd
 
-from data_prototype.artist import CompatibilityAxes
-from data_prototype.line import Line
-from data_prototype.containers import FuncContainer, SeriesContainer
+from mpl_data_containers.artist import CompatibilityAxes
+from mpl_data_containers.line import Line
+from mpl_data_containers.containers import FuncContainer, SeriesContainer
 
 
 fc = FuncContainer({"x": (("N",), lambda x: x), "y": (("N",), lambda x: np.sin(1 / x))})

examples/hist.py

@@ -10,8 +10,8 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from data_prototype.wrappers import StepWrapper
-from data_prototype.containers import HistContainer
+from mpl_data_containers.wrappers import StepWrapper
+from mpl_data_containers.containers import HistContainer
 
 hc = HistContainer(
     np.concatenate([np.random.randn(5000), 0.1 * np.random.randn(500) + 5]), 25

examples/lissajous.py

@@ -19,10 +19,10 @@
 import matplotlib.markers as mmarkers
 from matplotlib.animation import FuncAnimation
 
-from data_prototype.conversion_edge import Graph
-from data_prototype.description import Desc
+from mpl_data_containers.conversion_edge import Graph
+from mpl_data_containers.description import Desc
 
-from data_prototype.wrappers import PathCollectionWrapper
+from mpl_data_containers.wrappers import PathCollectionWrapper
 
 
 class Lissajous:

examples/mandelbrot.py

@@ -13,9 +13,9 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from data_prototype.artist import CompatibilityAxes
-from data_prototype.image import Image
-from data_prototype.containers import FuncContainer
+from mpl_data_containers.artist import CompatibilityAxes
+from mpl_data_containers.image import Image
+from mpl_data_containers.containers import FuncContainer
 
 from matplotlib.colors import Normalize
 

examples/mapped.py

@@ -12,12 +12,12 @@
 
 from matplotlib.colors import Normalize
 
-from data_prototype.artist import CompatibilityAxes
-from data_prototype.line import Line
-from data_prototype.containers import ArrayContainer
-from data_prototype.description import Desc
-from data_prototype.conversion_edge import FuncEdge
-from data_prototype.text import Text
+from mpl_data_containers.artist import CompatibilityAxes
+from mpl_data_containers.line import Line
+from mpl_data_containers.containers import ArrayContainer
+from mpl_data_containers.description import Desc
+from mpl_data_containers.conversion_edge import FuncEdge
+from mpl_data_containers.text import Text
 
 
 cmap = plt.colormaps["viridis"]

examples/mulivariate_cmap.py

@@ -11,11 +11,11 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from data_prototype.image import Image
-from data_prototype.artist import CompatibilityAxes
-from data_prototype.description import Desc
-from data_prototype.containers import FuncContainer
-from data_prototype.conversion_edge import FuncEdge
+from mpl_data_containers.image import Image
+from mpl_data_containers.artist import CompatibilityAxes
+from mpl_data_containers.description import Desc
+from mpl_data_containers.containers import FuncContainer
+from mpl_data_containers.conversion_edge import FuncEdge
 
 from matplotlib.colors import hsv_to_rgb
 

examples/new_patch.py

@@ -12,9 +12,9 @@
 import matplotlib.pyplot as plt
 
 
-from data_prototype.artist import CompatibilityAxes
-from data_prototype.patches import Patch
-from data_prototype.containers import ArrayContainer
+from mpl_data_containers.artist import CompatibilityAxes
+from mpl_data_containers.patches import Patch
+from mpl_data_containers.containers import ArrayContainer
 
 from matplotlib.path import Path
 

examples/scatter_with_custom_axes.py

@@ -4,19 +4,19 @@
 =========================================
 
 This is a quick comparison between the current Matplotlib `scatter` and
-the version in :file:`data_prototype/axes.py`, which uses data containers
+the version in :file:`mpl_data_containers/axes.py`, which uses data containers
 and a conversion pipeline.
 
 This is here to show what does work and what does not work with the current
 implementation of container-based artist drawing.
 """
 
-import data_prototype.axes  # side-effect registers projection # noqa
+import mpl_data_containers.axes  # side-effect registers projection # noqa
 
 import matplotlib.pyplot as plt
 
 fig = plt.figure()
-newstyle = fig.add_subplot(2, 1, 1, projection="data-prototype")
+newstyle = fig.add_subplot(2, 1, 1, projection="mpl-data-containers")
 oldstyle = fig.add_subplot(2, 1, 2)
 
 newstyle.scatter([0, 1, 2], [2, 5, 1])