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Scraper function for sphinx-gallery, in plotly.io #1577

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28 changes: 28 additions & 0 deletions doc/Makefile
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# Minimal makefile for Sphinx documentation
#

# You can set these variables from the command line.
PYTHON ?= python3
SPHINXOPTS ?= -j $(shell nproc || getconf _NPROCESSORS_ONLN || 1)
SPHINXBUILD ?= $(PYTHON) -m sphinx
SPHINXPROJ = plotly
SOURCEDIR = .
BUILDDIR = _build

# Put it first so that "make" without argument is like "make help".
help:
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

.PHONY: help Makefile

# Catch-all target: route all unknown targets to Sphinx using the new
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
%: Makefile
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)


clean:
rm -rf $(BUILDDIR)/*
rm -rf auto_examples/
rm -rf gen_modules/

15 changes: 15 additions & 0 deletions doc/api.rst
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API documentation
=================

API below is generated, a lot of room for customizing the design


.. automodule:: plotly.plotly
:members:

.. automodule:: plotly.graph_objs
:members:

.. automodule:: plotly.tools
:members:

199 changes: 199 additions & 0 deletions doc/conf.py
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# -*- coding: utf-8 -*-
#
# plotly documentation build configuration file, created by
# sphinx-quickstart on Wed May 1 15:00:57 2019.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.

# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
import os
import sys
sys.path.insert(0, os.path.abspath('..'))
sys.setrecursionlimit(1500)

# -- General configuration ------------------------------------------------

# If your documentation needs a minimal Sphinx version, state it here.
#
# needs_sphinx = '1.0'

# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'numpydoc',
'sphinx.ext.autosummary',
'sphinx.ext.doctest',
'sphinx.ext.intersphinx',
'sphinx.ext.todo',
'sphinx.ext.coverage',
'sphinx.ext.mathjax',
'sphinx_gallery.gen_gallery',
]

autosummary_generate = True

# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']

# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
#
# source_suffix = ['.rst', '.md']
source_suffix = '.rst'

# The master toctree document.
master_doc = 'index'

# General information about the project.
project = u'plotly'
copyright = u'2019, Plotly'
author = u'Plotly'

# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version.
import plotly
version = '3.8' #plotly.__version__

# The full version, including alpha/beta/rc tags.
release = '3.8' #plotly.__version__

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#
# This is also used if you do content translation via gettext catalogs.
# Usually you set "language" from the command line for these cases.
language = None

# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This patterns also effect to html_static_path and html_extra_path
exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']

# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'

# If true, `todo` and `todoList` produce output, else they produce nothing.
todo_include_todos = True


# -- Options for HTML output ----------------------------------------------

# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
html_theme = 'alabaster'

# Theme options are theme-specific and customize the look and feel of a theme
# further. For a list of options available for each theme, see the
# documentation.
#
# html_theme_options = {}

# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']

# Custom sidebar templates, must be a dictionary that maps document names
# to template names.
#
# This is required for the alabaster theme
# refs: http://alabaster.readthedocs.io/en/latest/installation.html#sidebars
html_sidebars = {
'**': [
'relations.html', # needs 'show_related': True theme option to display
'searchbox.html',
]
}


# -- Options for HTMLHelp output ------------------------------------------

# Output file base name for HTML help builder.
htmlhelp_basename = 'plotlydoc'


# -- Options for LaTeX output ---------------------------------------------

latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#
# 'papersize': 'letterpaper',

# The font size ('10pt', '11pt' or '12pt').
#
# 'pointsize': '10pt',

# Additional stuff for the LaTeX preamble.
#
# 'preamble': '',

# Latex figure (float) alignment
#
# 'figure_align': 'htbp',
}

# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
(master_doc, 'plotly.tex', u'plotly Documentation',
u'Plotly', 'manual'),
]


# -- Options for manual page output ---------------------------------------

# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
(master_doc, 'plotly', u'plotly Documentation',
[author], 1)
]


# -- Options for Texinfo output -------------------------------------------

# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
(master_doc, 'plotly', u'plotly Documentation',
author, 'plotly', 'One line description of project.',
'Miscellaneous'),
]




# Example configuration for intersphinx: refer to the Python standard library.
intersphinx_mapping = {'https://docs.python.org/': None}

from plotly.io._sg_scraper import plotly_sg_scraper
image_scrapers = ('matplotlib', plotly_sg_scraper,)


sphinx_gallery_conf = {
'doc_module': ('plotly',),
'examples_dirs': '../examples', # path to your example scripts
'backreferences_dir': 'api',
'reference_url': {'plotly': None,
},
'image_scrapers': image_scrapers,
}

24 changes: 24 additions & 0 deletions doc/index.rst
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.. plotly documentation master file, created by
sphinx-quickstart on Wed May 1 15:00:57 2019.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.

Welcome to plotly's documentation!
==================================

.. toctree::
:maxdepth: 2
:caption: Contents:

auto_examples/index
api
tutorial



Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
4 changes: 4 additions & 0 deletions doc/tutorial.rst
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Narrative documentation
=======================

goes here
4 changes: 4 additions & 0 deletions examples/README.txt
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Gallery of examples
===================

Some examples using plotly.
36 changes: 36 additions & 0 deletions examples/plot_plotly.py
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"""
A simple scatter plot
=====================

A scatter plot is created with the plotly library. The figure is interactive,
information are displayed on hover and it is possible to zoom and pan through
the figure.
"""
import plotly.graph_objs as go
import plotly

# Create random data with numpy
import numpy as np

N = 200
random_x = np.random.randn(N)
random_y_0 = np.random.randn(N)
random_y_1 = np.random.randn(N) - 1

# Create traces
trace_0 = go.Scatter(
x=random_x,
y=random_y_0,
mode='markers',
name='Above',
)
trace_1 = go.Scatter(
x=random_x,
y=random_y_1,
mode='markers',
name='Below',
)

fig = go.Figure(data=[trace_0, trace_1])
plotly.io.show(fig)

31 changes: 31 additions & 0 deletions examples/plot_plotly_3d.py
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"""
Topographical 3D Surface Plot
=============================

A 3D surface plot showing the topograph of Mount Bruno (Quebec). Try to
rotate (left button and drag) and scale (scroll) this animated 3D plot.
"""
import plotly
import plotly.graph_objs as go

import pandas as pd

# Read data from a csv
z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv')

data = [go.Surface(z=z_data)
]
layout = go.Layout(
title='Mt Bruno Elevation',
autosize=False,
width=600,
height=600,
margin=dict(
l=65,
r=50,
b=65,
t=90
)
)
fig = go.Figure(data=data, layout=layout)
plotly.io.show(fig)
22 changes: 21 additions & 1 deletion plotly/io/_base_renderers.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,10 +6,12 @@
import os

import six
from plotly.io import to_json, to_image
from plotly.io import to_json, to_image, write_image
from plotly import utils, optional_imports
from plotly.io._orca import ensure_server
from plotly.offline.offline import _get_jconfig, get_plotlyjs
from plotly.offline import plot
from plotly.tools import return_figure_from_figure_or_data

ipython_display = optional_imports.get_module('IPython.display')
IPython = optional_imports.get_module('IPython')
Expand Down Expand Up @@ -631,3 +633,21 @@ def render(self, fig_dict):
default_height='100%',
)
open_html_in_browser(html, self.using, self.new, self.autoraise)


class SphinxGalleryRenderer(ExternalRenderer):

def render(self, fig_dict):
stack = inspect.stack()
# Name of script from which plot function was called is retrieved
try:
filename = stack[3].filename # let's hope this is robust...
except: #python 2
filename = stack[3][1]
filename_root, _ = os.path.splitext(filename)
filename_html = filename_root + '.html'
filename_png = filename_root + '.png'
figure = return_figure_from_figure_or_data(fig_dict, True)
_ = plot(fig_dict, auto_open=False,
filename=filename_html)
write_image(figure, filename_png)
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