def formatter():
"""
Create slide for feature highlight of simplified tick formatters.
"""
fig = new_slide()
slide_heading(fig, '3.3 Feature: simplified tick formatters')
fig.text(
0.05, 0.8, """\
ax.xaxis.set_major_formatter(
StrMethodFormatter('{x} km'))
\N{Rightwards Double Arrow} ax.xaxis.set_major_formatter('{x} km')
""", **CODE)
fig.text(
0.05, 0.5, """\
def fmt(x, pos):
return f'{x} km'
ax.xaxis.set_major_formatter(FuncFormatter(fmt))
\N{Rightwards Double Arrow} ax.xaxis.set_major_formatter(fmt)
""", **CODE)
annotate_pr_author(fig, 'toddrjen', pr=16715)
return fig
def axline():
"""
Create slide for feature highlight of axline.
"""
fig = new_slide()
slide_heading(fig, '3.3 Feature: axline for infinite lines')
fig.text(
0.05, 0.8, """\
fig, ax = plt.subplots()
ax.axline((0.1, 0.1), slope=5, color='C0')
ax.axline((0.1, 0.2), (0.8, 0.7), color='C3')
""", **CODE)
ax = fig.add_axes((0.1, 0.1, 0.8, 0.5))
ax.axline((0.1, 0.1), slope=5, color='C0', lw=3, label='by slope')
ax.axline((0.1, 0.2), (0.8, 0.7), color='C3', lw=3, label='by points')
ax.legend()
annotate_pr_author(fig,
'QuLogic',
'dstansby',
'anntzer',
'timhoffm',
pr=15330)
return fig
def docs():
fig = new_slide()
slide_heading(fig, 'Documentation')
props = dict(fontproperties=FONT,
fontsize=56,
alpha=0.7,
verticalalignment='top')
fig.text(0.05, 0.8, 'Large and ongoing documentation rewrite', **props)
fig.text(0.1, 0.8, f'\n{BULLET} Refreshed homepage', **props)
fig.text(0.1, 0.8, f'\n\n{BULLET} 323 Pull Requests in 3.3 alone', **props)
fig.text(0.05, 0.5, "3.3 What's New?", **props)
t = fig.text(0.1, 0.5,
'\nhttps://matplotlib.org/3.3.0/users/whats_new.html',
**props)
t.set_url('https://matplotlib.org/3.3.0/users/whats_new.html')
fig.text(0.05, 0.3, 'Cheatsheets! By @rougier', **props)
t = fig.text(0.1, 0.3, '\nhttps://github.com/matplotlib/cheatsheets/',
**props)
t.set_url('https://github.com/matplotlib/cheatsheets/')
return fig
def slides(mpl_path):
"""
Create slide for release history.
Parameters
----------
mpl_path : str or pathlib.Path
Path to the Matplotlib checkout used to find release tags and dates.
"""
fig = new_slide()
slide_heading(fig, 'Release History')
tags = subprocess.run(['git', 'tag', '-l',
'--format=%(refname:strip=2) %(creatordate:short)'],
cwd=mpl_path, capture_output=True, text=True)
dates = []
names = []
for item in tags.stdout.splitlines():
tag_name, date = item.split(' ', 1)
if 'rc' not in tag_name and 'b' not in tag_name:
dates.append(datetime.fromisoformat(date))
names.append(tag_name)
levels = np.tile([-5, 5, -3, 3, -1, 1],
int(np.ceil(len(dates) / 6)))[:len(dates)]
ax = fig.add_axes((0.05, 0.11, 0.9, 0.7))
ax.vlines(dates, 0, levels, color="tab:red", linewidth=3)
ax.plot(dates, np.zeros_like(dates), "-o",
color="k", markerfacecolor="w", linewidth=3, markersize=10)
# Annotate lines.
for d, l, r in zip(dates, levels, names):
ax.annotate(r, xy=(d, l),
xytext=(-3, np.sign(l)*3), textcoords="offset points",
horizontalalignment="right",
verticalalignment="bottom" if l > 0 else "top",
fontsize=24)
# Format xaxis with 4 month intervals.
ax.get_xaxis().set_major_locator(mdates.MonthLocator(interval=4))
ax.get_xaxis().set_major_formatter(mdates.DateFormatter("%b %Y"))
plt.setp(ax.get_xticklabels(), rotation=30, ha="right", fontsize=24)
# Remove y axis and spines.
ax.get_yaxis().set_visible(False)
for spine in ["left", "top", "right"]:
ax.spines[spine].set_visible(False)
ax.margins(y=0.1)
# Annotate range between SciPy 2019 and SciPy 2020.
ax.axvspan(datetime(2019, 7, 8), datetime(2020, 7, 6), alpha=0.5)
# Only plot the last 5 years before SciPy 2020.
ax.set_xlim(datetime(2015, 7, 6), datetime(2020, 7, 6))
return fig
def slides():
"""
Create slide for future plans.
"""
fig = new_slide()
slide_heading(fig, 'Future Plans')
props = dict(fontproperties=FONT, fontsize=56, alpha=0.7,
verticalalignment='top')
fig.text(0.05, 0.8, 'Next feature release: 3.4', **props)
fig.text(0.1, 0.7, f'{BULLET} September 2020', **props)
fig.text(0.1, 0.6,
f'{BULLET} Dropping support for Python 3.6 & NumPy 1.15',
**props)
fig.text(0.05, 0.4, 'Google Season of Docs 2020', **props)
fig.text(0.05, 0.2, 'Check out our blog!', **props)
t = fig.text(0.1, 0.2, '\nhttps://matplotlib.org/matplotblog/',
**props)
t.set_url('https://matplotlib.org/matplotblog/')
return fig
def sharing():
"""
Create slide for feature highlight of post-hoc Axes sharing.
"""
fig = new_slide()
slide_heading(fig, '3.3 Feature: post-hoc Axes sharing')
fig.text(
0.05, 0.8, """\
axd['histx'].sharex(axd['scat'])
axd['histy'].sharey(axd['scat'])""", **CODE)
np.random.seed(0)
x = np.random.random(100) * 100 + 20
y = np.random.random(100) * 50 + 25
c = np.random.random(100) - 0.5
with plt.rc_context({'xtick.labelsize': 20, 'ytick.labelsize': 20}):
axd = fig.subplot_mosaic(
[['.', 'histx'], ['histy', 'scat']],
gridspec_kw={
'width_ratios': [1, 7],
'height_ratios': [2, 7],
# Don't overlay title and code.
'top': 0.65
})
im = axd['scat'].scatter(x, y, c=c, cmap='RdBu', picker=True)
fig.colorbar(
im,
orientation='horizontal',
# Semantically, the colorbar isn't really related to
# 'histy', but since we can't use constrained layout in
# the slides, we add it anyway to make things shrink
# correctly.
ax=[axd['scat'], axd['histy']],
# Since we're stealing space from the 'histy' Axes as
# well, re-jigger the size and anchoring so that it only
# appears under the 'scat' Axes.
shrink=0.8,
anchor=(1, 1),
panchor=(1, 0),
aspect=50)
_, _, patchesx = axd['histx'].hist(x)
_, _, patchesy = axd['histy'].hist(y, orientation='horizontal')
axd['histy'].invert_xaxis()
axd['histx'].sharex(axd['scat'])
axd['histy'].sharey(axd['scat'])
annotate_pr_author(fig, 'anntzer', pr=15287)
return fig
def slides():
"""
Create end slide.
"""
fig = new_slide()
slide_heading(fig, 'Thank You!')
props = dict(fontproperties=FONT,
fontsize=56,
alpha=0.7,
horizontalalignment='center')
fig.text(0.5, 0.5, 'This entire presentation was made in Matplotlib:',
**props)
t = fig.text(0.5, 0.4, '\nhttps://github.com/QuLogic/scipy2020-mpl-update',
**props)
t.set_url('https://github.com/QuLogic/scipy2020-mpl-update')
return fig
def feature32_bar3d():
"""
Create slide for feature highlight of bar3d light source.
"""
fig = new_slide()
slide_heading(fig, '3.2 Feature: bar3d light source')
# Plot two different light source angles.
for i, angle in [(1, 90), (2, 0)]:
# This example comes from the Pull Request adding this support:
# https://github.com/matplotlib/matplotlib/pull/15099#issuecomment-523981989
ax = fig.add_subplot(1, 2, i, projection="3d")
ls = mcolors.LightSource(azdeg=45, altdeg=angle)
cmap = plt.get_cmap("coolwarm")
length, width = 3, 4
area = length * width
norm = mcolors.Normalize(0, area-1)
x, y = np.meshgrid(np.arange(length), np.arange(width))
x = x.ravel()
y = y.ravel()
dz = x + y
color = cmap(norm(np.arange(area)))
ax.bar3d(x=x, y=y, z=0,
dx=1, dy=1, dz=dz,
color=color, shade=True, lightsource=ls)
annotate_pr_author(fig, 'fourpoints', pr=15099)
return fig
def mosaic():
"""
Create slide for feature highlight of subplot_mosaic.
"""
example1 = """
'''
A.C
BBB
.D.
'''"""
example2 = """[
['.', 'histx'],
['histy', 'scat'],
]"""
for text in [example1, example2]:
fig = new_slide()
slide_heading(fig, '3.3 Feature: subplot_mosaic')
fig.text(0.05, 0.8, f'plt.figure().subplot_mosaic({text})', **CODE)
ax_dict = fig.subplot_mosaic(
eval(text.lstrip()),
# Don't overlay title and code.
gridspec_kw={
'left': 0.3,
'top': 0.7,
'right': 0.97
})
identify_axes(ax_dict)
annotate_pr_author(fig, 'tacaswell', pr=16603)
yield fig
def slides():
"""
Create slide for general news.
"""
fig = new_slide()
slide_heading(fig, 'General News')
level1 = partial(bullet_level1, fig)
level2 = partial(bullet_level2, fig)
t = level1(0.8, f'{BULLET} Chan Zuckerberg Institute grant')
t.set_url('https://matplotlib.org/matplotblog/posts/matplotlib-rsef/')
level1(0.8, '\n \N{EM dash} Essential Open Source Software for Science')
level2(0.8,
'\n\nThomas Caswell, Hannah Aizenman,\nElliott Sales de Andrade')
t = level1(0.5, f'{BULLET} Google Summer of Code')
t.set_url(
'https://matplotlib.org/matplotblog/posts/introductory-gsoc2020-post/')
level2(0.5,
'\nSidharth Bansal \N{EM dash} test baseline images relocation')
level1(0.35, f'{BULLET} Discourse')
t = level2(0.35, '\nhttps://discourse.matplotlib.org/')
t.set_url('https://discourse.matplotlib.org/')
level1(0.2, f'{BULLET} PyPI classifier')
t = level2(0.2, '\nFramework :: Matplotlib')
t.set_url('https://pypi.org/search/?c=Framework+%3A%3A+Matplotlib')
return fig
