def html(buildername='html'):
"""Build Sphinx 'html' target. """
check_build()
generate_frontpage_pngs()
rc = '../lib/matplotlib/mpl-data/matplotlibrc'
default_rc = os.path.join(matplotlib._get_data_path(), 'matplotlibrc')
if not os.path.exists(rc) and os.path.exists(default_rc):
rc = default_rc
copy_if_out_of_date(rc, '_static/matplotlibrc')
if small_docs:
options = "-D plot_formats=png:100"
else:
options = ''
if warnings_as_errors:
options = options + ' -W'
if os.system('sphinx-build -j %d %s -b %s -d build/doctrees . build/%s' % (
n_proc, options, buildername, buildername)):
raise SystemExit("Building HTML failed.")
# Clean out PDF files from the _images directory
for filename in glob.glob('build/%s/_images/*.pdf' % buildername):
os.remove(filename)
shutil.copy('../CHANGELOG', 'build/%s/_static/CHANGELOG' % buildername)
def html(buildername='html'):
"""Build Sphinx 'html' target. """
check_build()
fetch_depsy_badge()
rc = '../lib/matplotlib/mpl-data/matplotlibrc'
default_rc = os.path.join(matplotlib._get_data_path(), 'matplotlibrc')
if not os.path.exists(rc) and os.path.exists(default_rc):
rc = default_rc
copy_if_out_of_date(rc, '_static/matplotlibrc')
options = [
'-j{}'.format(n_proc), '-b{}'.format(buildername), '-dbuild/doctrees'
]
if small_docs:
options += ['-Dplot_formats=png:100']
if warnings_as_errors:
options += ['-W']
if subprocess.call(
[sys.executable, '-msphinx', '.', 'build/{}'.format(buildername)] +
options):
raise SystemExit("Building HTML failed.")
# Clean out PDF files from the _images directory
for filename in glob.glob('build/%s/_images/*.pdf' % buildername):
os.remove(filename)
def html(buildername='html'):
"""Build Sphinx 'html' target. """
check_build()
generate_frontpage_pngs()
fetch_depsy_badge()
rc = '../lib/matplotlib/mpl-data/matplotlibrc'
default_rc = os.path.join(matplotlib._get_data_path(), 'matplotlibrc')
if not os.path.exists(rc) and os.path.exists(default_rc):
rc = default_rc
copy_if_out_of_date(rc, '_static/matplotlibrc')
if small_docs:
options = "-D plot_formats=png:100"
else:
options = ''
if warnings_as_errors:
options = options + ' -W'
if os.system('sphinx-build -j %d %s -b %s -d build/doctrees . build/%s' %
(n_proc, options, buildername, buildername)):
raise SystemExit("Building HTML failed.")
# Clean out PDF files from the _images directory
for filename in glob.glob('build/%s/_images/*.pdf' % buildername):
os.remove(filename)
shutil.copy('../CHANGELOG', 'build/%s/_static/CHANGELOG' % buildername)
def html(buildername='html'):
"""Build Sphinx 'html' target. """
check_build()
fetch_depsy_badge()
rc = '../lib/matplotlib/mpl-data/matplotlibrc'
default_rc = os.path.join(matplotlib._get_data_path(), 'matplotlibrc')
if not os.path.exists(rc) and os.path.exists(default_rc):
rc = default_rc
copy_if_out_of_date(rc, '_static/matplotlibrc')
options = ['-j{}'.format(n_proc),
'-b{}'.format(buildername),
'-dbuild/doctrees']
if small_docs:
options += ['-Dplot_formats=png:100']
if warnings_as_errors:
options += ['-W']
if subprocess.call(
[sys.executable, '-msphinx', '.', 'build/{}'.format(buildername)]
+ options):
raise SystemExit("Building HTML failed.")
# Clean out PDF files from the _images directory
for filename in glob.glob('build/%s/_images/*.pdf' % buildername):
os.remove(filename)
def test_font_styles():
from matplotlib import _get_data_path
data_path = _get_data_path()
def find_matplotlib_font(**kw):
prop = FontProperties(**kw)
path = findfont(prop, directory=data_path)
return FontProperties(fname=path)
from matplotlib.font_manager import FontProperties, findfont
warnings.filterwarnings(
"ignore",
("findfont: Font family \[u?'Foo'\] not found. Falling back to ."),
UserWarning,
module="matplotlib.font_manager",
)
plt.figure()
ax = plt.subplot(1, 1, 1)
normalFont = find_matplotlib_font(family="sans-serif", style="normal", variant="normal", size=14)
ax.annotate("Normal Font", (0.1, 0.1), xycoords="axes fraction", fontproperties=normalFont)
boldFont = find_matplotlib_font(family="Foo", style="normal", variant="normal", weight="bold", stretch=500, size=14)
ax.annotate("Bold Font", (0.1, 0.2), xycoords="axes fraction", fontproperties=boldFont)
boldItemFont = find_matplotlib_font(
family="sans serif", style="italic", variant="normal", weight=750, stretch=500, size=14
)
ax.annotate("Bold Italic Font", (0.1, 0.3), xycoords="axes fraction", fontproperties=boldItemFont)
lightFont = find_matplotlib_font(
family="sans-serif", style="normal", variant="normal", weight=200, stretch=500, size=14
)
ax.annotate("Light Font", (0.1, 0.4), xycoords="axes fraction", fontproperties=lightFont)
condensedFont = find_matplotlib_font(
family="sans-serif", style="normal", variant="normal", weight=500, stretch=100, size=14
)
ax.annotate("Condensed Font", (0.1, 0.5), xycoords="axes fraction", fontproperties=condensedFont)
ax.set_xticks([])
ax.set_yticks([])
def test_font_styles():
from matplotlib import _get_data_path
data_path = _get_data_path()
def find_matplotlib_font(**kw):
prop = FontProperties(**kw)
path = findfont(prop, directory=data_path)
return FontProperties(fname=path)
from matplotlib.font_manager import FontProperties, findfont
warnings.filterwarnings('ignore', ('findfont: Font family \[u?\'Foo\'\] ' +
'not found. Falling back to .'),
UserWarning,
module='matplotlib.font_manager')
fig = plt.figure()
ax = plt.subplot(1, 1, 1)
normalFont = find_matplotlib_font(
family="sans-serif",
style="normal",
variant="normal",
size=14,
)
ax.annotate("Normal Font", (0.1, 0.1),
xycoords='axes fraction',
fontproperties=normalFont)
boldFont = find_matplotlib_font(
family="Foo",
style="normal",
variant="normal",
weight="bold",
stretch=500,
size=14,
)
ax.annotate("Bold Font", (0.1, 0.2),
xycoords='axes fraction',
fontproperties=boldFont)
boldItemFont = find_matplotlib_font(
family="sans serif",
style="italic",
variant="normal",
weight=750,
stretch=500,
size=14,
)
ax.annotate("Bold Italic Font", (0.1, 0.3),
xycoords='axes fraction',
fontproperties=boldItemFont)
lightFont = find_matplotlib_font(
family="sans-serif",
style="normal",
variant="normal",
weight=200,
stretch=500,
size=14,
)
ax.annotate("Light Font", (0.1, 0.4),
xycoords='axes fraction',
fontproperties=lightFont)
condensedFont = find_matplotlib_font(
family="sans-serif",
style="normal",
variant="normal",
weight=500,
stretch=100,
size=14,
)
ax.annotate("Condensed Font", (0.1, 0.5),
xycoords='axes fraction',
fontproperties=condensedFont)
ax.set_xticks([])
ax.set_yticks([])
#Once the conda-forge channel has been enabled, matplotlib, matplotlib-base, mpl_sample_data can be installed with:
conda install matplotlib matplotlib-base mpl_sample_data
#It is possible to list all of the versions of matplotlib available on your platform with:
conda search matplotlib --channel conda-forge
"""
years = mdates.YearLocator() # every year
months = mdates.MonthLocator() # every month
yearsFmt = mdates.DateFormatter('%Y')
# Load a numpy record array from yahoo csv data with fields date, open, close,
# volume, adj_close from the mpl-data/example directory. The record array
# stores the date as an np.datetime64 with a day unit ('D') in the date column.
with open(os.path.join(matplotlib._get_data_path(), 'sample_data/goog.npz'),
mode='rb') as datafile:
r = np.load(datafile)['price_data'].view(np.recarray)
with open(os.path.join(matplotlib._get_data_path(), 'sample_data/aapl.npz'),
mode='rb') as datafile:
r2 = np.load(datafile)['price_data'].view(np.recarray)
fig, ax = plt.subplots()
ax.plot(r.date, r.adj_close)
ax.plot(r2.date, r2.adj_close)
# format the ticks
ax.xaxis.set_major_locator(years)
ax.xaxis.set_major_formatter(yearsFmt)
ax.xaxis.set_minor_locator(months)
