def _delcache():
p1 = matplotlib.get_configdir() + "/fontList.py3k.cache"
p2 = matplotlib.get_cachedir() + "/fontList.py3k.cache"
p3 = matplotlib.get_configdir() + "/fontList.json"
p4 = matplotlib.get_cachedir() + "/fontList.json"
for p in [p1, p2, p3, p4]:
if os.path.isfile(p):
os.remove(p)
print("deleted matplotlib font cache:", p)
else:
print("path not found:", p)
def plt_show(model, img_name="plt.png"):
## Visualize Word Embedding
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.font_manager as fm
print('버전: ', mpl.__version__)
print('설치 위치: ', mpl.__file__)
print('설정 위치: ', mpl.get_configdir())
print('캐시 위치: ', mpl.get_cachedir())
font_list = fm.findSystemFonts(fontpaths=None, fontext='ttf')
[
print((f.name, f.fname)) for f in fm.fontManager.ttflist
if 'Nanum' in f.name
]
path = '/Users/actmember/Library/Fonts/NanumBarunGothic.otf'
fontprop = fm.FontProperties(fname=path, size=8)
mpl.rcParams['axes.unicode_minus'] = False
X = model[model.wv.vocab]
pca = PCA(n_components=2)
result = pca.fit_transform(X)
# create a scatter plot of the projection
plt.scatter(result[:, 0], result[:, 1])
words = list(model.wv.vocab)
for i, word in enumerate(words):
plt.annotate(word,
xy=(result[i, 0], result[i, 1]),
fontproperties=fontprop)
plt.savefig(img_name, quality=100, dpi=500)
plt.show()
def install_mpl_style() -> None:
"""
Will create a `phd.mplstyle` file in the appropriate directories from the `PLOT_PARAMS` defined in this
module. This enables one to use the style without importing `PLOT_PARAMS` and updating the rcParams,
but instead simply using `plt.style.use("phd")`.
Sometimes, matplotlib will not look for the file in its global config directory, but in the activated
environment's site-packages data. The file is installed in both places.
"""
logger.info("Installing matplotlib style")
style_content: str = "\n".join(f"{option} : {setting}"
for option, setting in PLOT_PARAMS.items())
mpl_config_stylelib = Path(matplotlib.get_configdir()) / "stylelib"
mpl_env_stylelib = Path(plt.style.core.BASE_LIBRARY_PATH)
logger.debug("Ensuring matplotlib 'stylelib' directory exists")
mpl_config_stylelib.mkdir(parents=True, exist_ok=True)
mpl_env_stylelib.mkdir(parents=True, exist_ok=True)
config_style_file = mpl_config_stylelib / "phd.mplstyle"
env_style_file = mpl_env_stylelib / "phd.mplstyle"
logger.debug(f"Creating style file at '{config_style_file.absolute()}'")
config_style_file.write_text(
style_content.replace("(", "").replace(")", ""))
logger.debug(f"Creating style file at '{env_style_file.absolute()}'")
env_style_file.write_text(style_content.replace("(", "").replace(")", ""))
logger.success("You can now use it with 'plt.style.use(\"phd\")'")
def _export_mplstyle(src=pyrolite_datafolder("_config") / "pyrolite.mplstyle",
refresh=False):
"""
Export a matplotlib style file to the matplotlib style library such that one can
use e.g. `matplotlib.style.use("pyrolite")`.
Parameters
-----------
src : :class:`str` | :class:`pathlib.Path`
File path for the style file to be exported.
refresh : :class:`bool`
Whether to re-export a style file (e.g. after updating) even if it
already exists in the matplotlib style libary.
"""
src_fn = Path(src)
dest_dir = Path(matplotlib.get_configdir()) / "stylelib"
dest_fn = dest_dir / src.name
if (not dest_fn.exists()) or refresh:
logger.debug(
"Exporting pyrolite.mplstyle to matplotlib config folder.")
if not dest_dir.exists():
dest_dir.mkdir(parents=True)
copy_file(src_fn, dest_dir) # copy to the destination DIR
logger.debug("Reloading matplotlib")
matplotlib.style.reload_library() # needed to load in pyrolite style NOW
def get_sample_data(fname, asfileobj=True):
"""
Check the cachedirectory ~/.matplotlib/sample_data for a sample_data
file. If it does not exist, fetch it with urllib from the mpl svn repo
http://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/sample_data/
and store it in the cachedir.
If asfileobj is True, a file object will be returned. Else the
path to the file as a string will be returned
To add a datafile to this directory, you need to check out
sample_data from matplotlib svn::
svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/sample_data
and svn add the data file you want to support. This is primarily
intended for use in mpl examples that need custom data
"""
myserver = get_sample_data.myserver
if myserver is None:
configdir = matplotlib.get_configdir()
cachedir = os.path.join(configdir, 'sample_data')
baseurl = 'http://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/sample_data/'
myserver = get_sample_data.myserver = ViewVCCachedServer(cachedir, baseurl)
return myserver.get_sample_data(fname, asfileobj=asfileobj)
def clean_cache(mapdir=None, maxsize=None):
"""Clean cache directory by checking its size
:Params:
- **mapdir**, optional: Directory where maps are cached
- **maxsize**, optional: Maximal size of directory in bytes.
Default value from :confopt:`[vacumm.misc.grid.basemap]max_cache_size`
configuration value.
"""
from ...misc.misc import dirsize
mapdir = get_map_dir(mapdir)
if mapdir is None:
mapdir = os.path.join(get_configdir(), 'basemap', 'cached_maps')
cache_size = dirsize(mapdir)
if maxsize is None:
maxsize = eval(get_config_value('vacumm.misc.grid.basemap', 'max_cache_size'))
if cache_size>maxsize:
files = [os.path.join(mapdir, ff) for ff in os.listdir(mapdir)]
files.sort(cmp=lambda f1, f2: cmp(os.stat(f1)[8], os.stat(f2)[8]))
for ff in files:
cache_size -= os.path.getsize(ff)
try:
os.remove(ff)
except:
vacumm_warn('Error while trying to clean basemap cache in: '+
os.path.dirname(ff))
return
if cache_size<=maxsize: break
def _main():
class MplBackendPathFinder(PathFinder):
def find_spec(self, fullname, path, target=None):
if path == __path__ and fullname.startswith(f"{__name__}."):
_, rest = fullname.split(".", 1)
for candidate in [f"matplotlib.backends.backend_{rest}", rest]:
spec = importlib.util.find_spec(candidate)
if spec is not None:
def exec_module(module):
sys.modules[f"{__name__}.{spec.name}"] = module
return type(spec.loader).exec_module(
spec.loader, module)
spec.loader.exec_module = exec_module
return spec
return super().find_spec(fullname, path, target)
sys.meta_path.append(MplBackendPathFinder())
mplrcpy_path = Path(mpl.get_configdir(), "matplotlibrc.py")
try:
with tokenize.open(mplrcpy_path) as file:
mplrcpy = file.read()
except IOError:
_log.warning(f"Failed to read {mplrcpy_path}; falling back to "
f"automatic backend selection.")
else:
exec(mplrcpy, {})
def test_install_mplstyles(self):
"""Install matplotlib style sheets."""
config_dir = os.path.join(mpl.get_configdir(), 'stylelib')
if os.path.isdir(config_dir):
created_dir = False
else:
os.mkdir(config_dir)
created_dir = True
typhon_styles = [
os.path.basename(s)
for s
in glob.glob(os.path.join('..', 'stylelib', '*.mplstyle'))
]
before = set(os.listdir(config_dir))
typhon.plots.install_mplstyles()
after = set(os.listdir(config_dir))
for sl in after - before:
if sl in typhon_styles:
os.remove(os.path.join(config_dir, sl))
if created_dir:
os.rmdir(config_dir)
assert set(typhon_styles).issubset(set(after))
def _fetch_historical_yahoo(self, ticker, date1, date2, freq=None, cachename=None):
"""matplotlib's implementation, modified to provide proxy support and frequency
Fetch historical data for ticker between date1 and date2. date1 and
date2 are date or datetime instances, or (year, month, day) sequences.
Ex:
fh = fetch_historical_yahoo('^GSPC', (2000, 1, 1), (2001, 12, 31))
cachename is the name of the local file cache. If None, will
default to the md5 hash or the url (which incorporates the ticker
and date range)
a file handle is returned
"""
if freq is None or type(freq) != str:
raise ValueError('Must enter a frequency as a string, m, w, or d')
proxy = self._proxy
ticker = ticker.upper()
configdir = get_configdir()
cachedir = os.path.join(configdir, 'finance.cache')
if iterable(date1):
d1 = (date1[1]-1, date1[2], date1[0])
else:
d1 = (date1.month-1, date1.day, date1.year)
if iterable(date2):
d2 = (date2[1]-1, date2[2], date2[0])
else:
d2 = (date2.month-1, date2.day, date2.year)
urlFmt = 'http://table.finance.yahoo.com/table.csv?a=%d&b=%d&c=%d&d=%d&e=%d&f=%d&s=%s&y=0&g=%s&ignore=.csv'
url = urlFmt % (d1[0], d1[1], d1[2],
d2[0], d2[1], d2[2], ticker, freq)
if proxy:
proxy_support = urllib2.ProxyHandler(proxy)
opener = urllib2.build_opener(proxy_support)
urllib2.install_opener(opener)
if cachename is None:
cachename = os.path.join(cachedir, md5(url).hexdigest())
if os.path.exists(cachename):
fh = file(cachename)
verbose.report('Using cachefile %s for %s'%(cachename, ticker))
else:
if not os.path.isdir(cachedir):
os.mkdir(cachedir)
urlfh = urllib2.urlopen(url)
fh = file(cachename, 'w')
fh.write(urlfh.read())
fh.close()
verbose.report('Saved %s data to cache file %s'%(ticker, cachename))
fh = file(cachename, 'r')
return fh
def copy_styles():
"""Copy rayoptics mpl styles to user's mpl_config dir."""
pth = Path(__file__).resolve().parent
styles_dir = Path(pth / 'styles')
mpl_configdir = Path(matplotlib.get_configdir()) / 'stylelib'
mpl_configdir.mkdir(exist_ok=True)
for mpl_style in styles_dir.glob('*.mplstyle'):
copy2(mpl_style, mpl_configdir)
def get_matplotlib_info():
print('버전: ', mpl.__version__)
print('설치 위치: ', mpl.__file__)
print('설정 위치: ', mpl.get_configdir())
print('캐시 위치: ', mpl.get_cachedir())
print('설정 파일 위치: ', mpl.matplotlib_fname())
font_list = fm.findSystemFonts(fontpaths=None, fontext='ttf')
print(len(font_list))
def copy_styles():
sd = os.path.join(get_configdir(), "stylelib")
source = os.path.dirname(os.path.realpath(__file__))
lsd = os.path.join(source, 'arviz', 'plots', 'styles')
styles = [f for f in os.listdir(lsd)]
if not os.path.isdir(sd):
os.makedirs(sd)
for s in styles:
shutil.copy(os.path.join(lsd, s), os.path.join(sd, s))
def install_style():
style = 'tp.mplstyle'
styledir = os.path.join(mpl.get_configdir(), 'stylelib')
if not os.path.exists(styledir):
os.makedirs(styledir)
shutil.copy(os.path.join(os.path.dirname(__file__), style),
os.path.join(styledir, style))
def register_style():
'''
Write all goose-styles to the relevant matplotlib configuration directory.
'''
import os
import matplotlib
styles = dict()
styles['bhuvy.mplstyle'] = '''
# Main Grids
figure.facecolor: F0F8FF
patch.antialiased: True
# Lines
lines.linewidth: 2.0
lines.solid_capstyle: butt
# Axes
axes.titlesize: 16
axes.labelsize: 12
axes.labelcolor: 000000
axes.facecolor: B2CEE6
axes.edgecolor: 000000
axes.axisbelow: True
axes.prop_cycle: cycler('color', ['268BD2', '2AA198', '859900', 'B58900', 'CB4B16', 'DC322F', 'D33682', '6C71C4'])
axes.spines.top: False
axes.spines.right: False
axes.grid: True
grid.color: FFFFFF
grid.linestyle: -
grid.linewidth: 1
xtick.color: 000000
xtick.direction: out
ytick.color: 000000
ytick.direction: out
# Font
font.family: sans-serif
font.sans-serif: {}
'''.format(find_custom_fonts())
dirname = os.path.abspath(
os.path.join(matplotlib.get_configdir(), 'stylelib'))
if not os.path.isdir(dirname): os.makedirs(dirname)
for fname, style in styles.items():
open(os.path.join(dirname, fname), 'w').write(style)
def install_style():
style = ['tp.mplstyle', 'tp-large.mplstyle']
styledir = os.path.join(get_configdir(), 'stylelib')
if not os.path.exists(styledir):
os.makedirs(styledir)
for plotting in style:
copy(os.path.join(os.path.dirname(__file__), plotting),
os.path.join(styledir, plotting))
def run(self):
import os
import matplotlib as mpl
os.system('cp -r mplhep/stylelib/ ' +
os.path.join(mpl.get_configdir() + '/'))
os.system('cp -r mplhep/fonts/ ' +
os.path.join(mpl.rcParams['datapath'] + '/'))
install.run(self)
def plot_tex(tex=False):
mpl.style.reload_library()
plt.style.use('zxx')
print('find zxx: ', os.path.isfile('zxx.mplstyle'))
if (os.path.isfile('zxx.mplstyle')):
plt.style.use('zxx.mplstyle')
if (tex):
plt.style.use('tex')
print(plt.style.available)
print(mpl.get_configdir())
def Abfragen_Matplotlib():
mpl_version = mpl.__version__
mpl_ort = mpl.__file__
mpl_config = mpl.get_configdir()
mpl_cache = mpl.get_cachedir()
print("Version von Matplotlib:", mpl_version)
print("Installationsort von Matplotlib:", mpl_ort)
print("Die Konfigurationsinformationen befinden sich bei:", mpl_config)
print("Der Zwischenspeicher / Cache befindet sich bei:", mpl_cache)
def main():
fname = "robertsons_rules.mplstyle"
config_dir = mpl.get_configdir()
style_dir = os.path.join(config_dir, "stylelib")
if not "stylelib" in os.listdir(config_dir):
os.mkdir(style_dir)
dest = os.path.join(style_dir, fname)
shutil.copyfile(fname, dest)
print(f"Copied {fname} to {style_dir}")
def makestyle(self, filename='mydefault', to_mpl=False):
if filename.startswith('scpy'):
error_('`scpy` is READ-ONLY. Please use an another style name.')
return
txt = ""
sline = ""
for key in mpl.rcParams.keys():
if key in ['animation.avconv_args', 'animation.avconv_path', 'animation.html_args', 'keymap.all_axes',
'mathtext.fallback_to_cm', 'validate_bool_maybe_none', 'savefig.jpeg_quality',
'text.latex.preview', 'backend', 'backend_fallback', 'date.epoch', 'docstring.hardcopy',
'figure.max_open_warning', 'figure.raise_window', 'interactive', 'savefig.directory', 'timezone',
'tk.window_focus', 'toolbar', 'webagg.address', 'webagg.open_in_browser', 'webagg.port',
'webagg.port_retries']:
continue
val = str(mpl.rcParams[key])
sav = ''
while val != sav:
sav = val
val = val.replace(' ', ' ')
line = f'{key:40s} : {val}\n'
if line[0] != sline:
txt += '\n'
sline = line[0]
if key not in ['axes.prop_cycle']:
line = line.replace('[', '').replace(']', "").replace('\'', '').replace('"', '')
if key == 'savefig.bbox':
line = f'{key:40s} : standard\n'
txt += line.replace("#", '')
# Non matplotlib parameters,
# some parameters are not saved in matplotlib style sheets so we willa dd them here
nonmplpars = ['method_1D', 'method_2D', 'method_3D', 'colorbar', 'show_projections', 'show_projection_x',
'show_projection_y', 'colormap', 'max_lines_in_stack', 'simplify', 'number_of_x_labels',
'number_of_y_labels', 'number_of_z_labels', 'number_of_contours', 'contour_alpha',
'contour_start', 'antialiased', 'rcount', 'ccount']
txt += '\n\n##\n## ADDITIONAL PARAMETERS FOR SPECTROCHEMPY\n##\n'
for par in nonmplpars:
txt += f"##@{par:37s} : {getattr(self, par)}\n"
stylesheet = (pathclean(self.stylesheets) / filename).with_suffix('.mplstyle')
stylesheet.write_text(txt)
if to_mpl:
# make it also accessible to pyplot
stylelib = (pathclean(mpl.get_configdir()) / 'stylelib' / filename).with_suffix('.mplstyle')
stylelib.write_text(txt)
# plot_preferences.traits()['style'].trait_types = plot_preferences.traits()['style'].trait_types +\
# (Unicode(filename),)
self.style = filename
return self.style
def creating_new_style():
import matplotlib
import os
from shutil import copy2
style_path = matplotlib.get_configdir()
style_path = os.path.join(style_path, 'stylelib')
if not os.path.exists(style_path):
os.makedirs(style_path)
copy2('presentation.mplstyle', style_path)
def install_styles():
style_files = glob.glob('styles/*.mplstyle', recursive=True)
# find stylelib directory, where the *.mplstyle file goes
mpl_stylelib_dir = os.path.join(matplotlib.get_configdir(), "stylelib")
if not os.path.exists(mpl_stylelib_dir):
os.makedirs(mpl_stylelib_dir)
# copy files over
for style_file in style_files:
shutil.copy(style_file, mpl_stylelib_dir)
def _install_matplotlib_styles(self):
import matplotlib as mpl
conf_dir = mpl.get_configdir()
if not os.path.exists(conf_dir):
os.mkdir(conf_dir)
style_dir = os.path.join(conf_dir, 'stylelib')
if not os.path.exists(style_dir):
os.mkdir(style_dir)
static_path = os.path.join(self._module_path(), 'static', 'styles')
for style in os.listdir(static_path):
target_path = os.path.join(style_dir, style)
if not os.path.exists(target_path):
shutil.copyfile(os.path.join(static_path, style), target_path)
def adapt_japanese_font(plt):
dest_font_path = Path(
mpl.matplotlib_fname()).parent / 'fonts' / 'ttf' / 'ipaexg.ttf'
source_font_path = Path(__file__).parent / 'font' / 'ipaexg.ttf'
shutil.copy(str(source_font_path), str(dest_font_path))
config_dir = Path(mpl.get_configdir())
for f in config_dir.glob('**/*'):
if f.is_file():
f.unlink()
else:
f.rmdir()
plt.rcParams['font.family'] = 'IPAexGothic'
def install_styles():
style_files = glob.glob('styles/**/*.mplstyle', recursive=True)
# find stylelib directory, where the *.mplstyle file goes
mpl_stylelib_dir = os.path.join(matplotlib.get_configdir(), "stylelib")
if not os.path.exists(mpl_stylelib_dir):
os.makedirs(mpl_stylelib_dir)
# copy files over
print(f"Installing styles into {mpl_stylelib_dir}")
for style_file in style_files:
shutil.copy(style_file,
os.path.join(mpl_stylelib_dir, os.path.basename(style_file)))
def install_styles():
# Find all style files
stylefiles = glob.glob('styles/**/*.mplstyle', recursive=True)
# Find stylelib directory (where the *.mplstyle files go)
mpl_stylelib_dir = os.path.join(matplotlib.get_configdir(), "stylelib")
if not os.path.exists(mpl_stylelib_dir):
os.makedirs(mpl_stylelib_dir)
# Copy files over
print("Installing styles into", mpl_stylelib_dir)
for stylefile in stylefiles:
print(os.path.basename(stylefile))
shutil.copy(
stylefile,
os.path.join(mpl_stylelib_dir, os.path.basename(stylefile)))
def main():
"""Put a copy of the matplotlib style spec in the expected location."""
this_dir = os.path.dirname(os.path.realpath(__file__))
style_path = os.path.join(this_dir, 'civis.mplstyle')
with open(style_path) as f:
style_doc = f.read()
mpl_style_dir = os.path.join(mpl.get_configdir(), 'stylelib')
if not os.path.exists(mpl_style_dir):
os.makedirs(mpl_style_dir)
path = os.path.join(mpl_style_dir, 'civis.mplstyle')
with open(path, 'w') as new_style:
new_style.write(style_doc)
print("The Civis matplotlib style was installed at %s" % path)
def copy_style():
import os
import matplotlib
from pkg_resources import resource_string
files = [
'styles/notebook_mplstyle',
]
for fname in files:
path = os.path.join(matplotlib.get_configdir(), fname)
text = resource_string(__name__, fname).decode()
open(path, 'w').write(text)
def copy_style():
import os
import matplotlib
from pkg_resources import resource_string
files = [
"college_track.mplstyle",
]
for fname in files:
path = os.path.join(matplotlib.get_configdir(), fname)
text = resource_string(__name__, fname).decode()
open(path, "w").write(text)
def install_stylesheet():
stylelib = os.path.join(mpl.get_configdir(), 'stylelib')
# in case you don't have a stylelib directory yet
try:
os.mkdir(stylelib)
except FileExistsError:
pass
try:
filepath = resource_filename('gpviz', 'styles/gpviz.mplstyle')
except ModuleNotFoundError:
filepath = resource_filename(__name__, 'styles/gpviz.mplstyle')
shutil.copy(filepath, stylelib)
def copy_plot_themes():
stylelib_path = os.path.join(matplotlib.get_configdir(), 'stylelib')
curr_dir = os.path.dirname(os.path.abspath(__file__))
file_list = glob.glob(os.path.join(curr_dir, '*.mplstyle'))
try:
if not os.path.exists(stylelib_path):
os.makedirs(stylelib_path)
for f in file_list:
fname = os.path.basename(f)
shutil.copy2(f, os.path.join(stylelib_path, fname))
print('Themes copied to %s' % stylelib_path)
except:
print(
'An error occured! Try to manually copy the *.mplstyle files. E.g.:\nmkdir -p %s && cp *.mplstyle %s'
% (stylelib_path, stylelib_path), )
def copy_style():
import os
import matplotlib
from pkg_resources import resource_string
files = [
'stylelib/goose-latex.mplstyle',
'stylelib/goose-tick-in.mplstyle',
'stylelib/goose-tick-lower.mplstyle',
'stylelib/goose.mplstyle',
]
for fname in files:
path = os.path.join(matplotlib.get_configdir(), fname)
text = resource_string(__name__, fname).decode()
open(path, 'w').write(text)
def write_style_file(name):
local_stylelib_dir = os.path.join(mpl.get_configdir(), 'stylelib')
os.makedirs(local_stylelib_dir, exist_ok=True)
local_file = os.path.join(local_stylelib_dir, f'{name}.mplstyle')
package_file = os.path.join(get_qncmbe_stylelib_dir(), f'{name}.mplstyle')
with open(local_file, 'w') as lf:
lf.write(get_header() + '\n')
with open(package_file, 'r') as pf:
lf.write(pf.read())
logger.info(f'Wrote to style file "{local_file}"')
plt.style.reload_library()
def get_sample_data(fname, asfileobj=True):
"""
Check the cachedirectory ~/.matplotlib/sample_data for a sample_data
file. If it does not exist, fetch it with urllib from the mpl svn repo
http://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/sample_data/
and store it in the cachedir.
If asfileobj is True, a file object will be returned. Else the
path to the file as a string will be returned
To add a datafile to this directory, you need to check out
sample_data from matplotlib svn::
svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/sample_data
and svn add the data file you want to support. This is primarily
intended for use in mpl examples that need custom data
"""
myserver = get_sample_data.myserver
if myserver is None:
configdir = matplotlib.get_configdir()
cachedir = os.path.join(configdir, 'sample_data')
baseurl = 'http://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/sample_data/'
get_sample_data.myserver = ViewVCCachedServer(cachedir, baseurl)
myserver = get_sample_data.myserver
return myserver.get_sample_data(fname, asfileobj=asfileobj)
def clean_cache(mapdir=None, maxsize=None):
"""Clean cache directory by checking its size
:Params:
- **mapdir**, optional: Directory where maps are cached
- **maxsize**, optional: Maximal size of directory in bytes.
Default value from :confopt:`[vacumm.misc.grid.basemap]max_cache_size`
configuration value.
"""
from ...misc.misc import dirsize
mapdir = get_map_dir(mapdir)
if mapdir is None:
mapdir = os.path.join(get_configdir(), 'basemap', 'cached_maps')
cache_size = dirsize(mapdir)
if maxsize is None:
maxsize = eval(get_config_value('vacumm.misc.grid.basemap', 'max_cache_size'))
if cache_size>maxsize:
files = [os.path.join(mapdir, ff) for ff in os.listdir(mapdir)]
files.sort(cmp=lambda f1, f2: cmp(os.stat(f1)[8], os.stat(f2)[8]))
for ff in files:
cache_size -= os.path.getsize(ff)
os.remove(ff)
if cache_size<=maxsize: break
def findfont(self, prop, fontext='ttf'):
"""Search the font dictionary for a font that exactly or closely
matches the specified font properties. See the FontProperties class
for a description.
The properties are searched in the following order: name, style,
variant, weight, stretch, and size. The font weight always matches
returning the closest weight, and the font size always matches for
scalable fonts. An oblique style font will be used inplace of a
missing italic style font if present. See the W3C Cascading Style
Sheet, Level 1 (CSS1; http://www.w3.org/TR/1998/REC-CSS2-19980512/)
documentation for a description of the font finding algorithm.
"""
cache_message = \
"""Saving AFM font cache for PS backend to %s.
Delete this file to have matplotlib rebuild the cache."""
debug = False
if prop.fname is not None:
fname = prop.fname
verbose.report('findfont returning %s'%fname, 'debug')
return fname
if fontext == 'afm':
if len(self.afmdict) == 0:
afmcache = os.path.join(get_configdir(), '.afmfont.cache')
try:
import cPickle as pickle
except ImportError:
import pickle
try:
self.afmdict = pickle.load(file(afmcache))
except:
self.afmdict = createFontDict(self.afmfiles, fontext='afm')
pickle.dump(self.afmdict, file(afmcache, 'w'))
verbose.report(cache_message % afmcache)
fontdict = self.afmdict
else:
fontdict = self.ttfdict
name = prop.get_family()[0]
style = prop.get_style()
variant = prop.get_variant()
weight = weight_as_number(prop.get_weight())
stretch = prop.get_stretch()
size = str(prop.get_size_in_points())
try:
fname = fontdict[name][style][variant][weight][stretch][size]
verbose.report('\tfindfont cached %(name)s, %(style)s, %(variant)s, %(weight)s, %(stretch)s, %(size)s'%locals(), 'debug')
verbose.report('findfont returning %s'%fname, 'debug')
return fname
except KeyError:
pass
for name in prop.get_family():
font = fontdict
if font.has_key(name):
font = font[name]
else:
verbose.report('\tfindfont failed %(name)s'%locals(), 'debug')
continue
if font.has_key(style):
font = font[style]
elif style == 'italics' and font.has_key('oblique'):
font = font['oblique']
else:
verbose.report('\tfindfont failed %(name)s, %(style)s'%locals(), 'debug')
continue
if font.has_key(variant):
font = font[variant]
else:
verbose.report('\tfindfont failed %(name)s, %(style)s, %(variant)s'%locals(), 'debug')
continue
if not font.has_key(weight):
setWeights(font)
font = font[weight]
# !!!! need improvement
if font.has_key(stretch):
font = font[stretch]
else:
verbose.report('\tfindfont failed %(name)s, %(style)s, %(variant)s %(weight)s, %(stretch)s'%locals(), 'debug')
continue
if font.has_key('scalable'):
fname = font['scalable']
elif font.has_key(size):
fname = font[size]
else:
verbose.report('\tfindfont failed %(name)s, %(style)s, %(variant)s %(weight)s, %(stretch)s, %(size)s'%locals(), 'debug')
continue
fontkey = FontKey(name, style, variant, weight, stretch, size)
add_filename(fontdict, fontkey, fname)
verbose.report('\tfindfont found %(name)s, %(style)s, %(variant)s %(weight)s, %(stretch)s, %(size)s'%locals(), 'debug')
verbose.report('findfont returning %s'%fname, 'debug')
return fname
fontkey = FontKey(name, style, variant, weight, stretch, size)
add_filename(fontdict, fontkey, self.defaultFont)
warnings.warn('Could not match %s, %s, %s. Returning %s' % (name, style, variant, self.defaultFont))
return self.defaultFont
def __init__(self, size=12.0, weight='normal'):
self.__default_size = size
self.__default_weight = weight
paths = [rcParams['datapath']]
# Create list of font paths
for pathname in ['TTFPATH', 'AFMPATH']:
if os.environ.has_key(pathname):
ttfpath = os.environ[pathname]
if ttfpath.find(';') >= 0: #win32 style
paths.extend(ttfpath.split(';'))
elif ttfpath.find(':') >= 0: # unix style
paths.extend(ttfpath.split(':'))
else:
paths.append(ttfpath)
verbose.report('font search path %s'%(str(paths)))
# Load TrueType fonts and create font dictionary.
self.ttffiles = findSystemFonts(paths) + findSystemFonts()
for fname in self.ttffiles:
verbose.report('trying fontname %s' % fname, 'debug')
if fname.lower().find('vera.ttf')>=0:
self.defaultFont = fname
break
else:
# use anything
self.defaultFont = self.ttffiles[0]
cache_message = \
"""Saving TTF font cache for non-PS backends to %s.
Delete this file to have matplotlib rebuild the cache."""
oldcache = os.path.join(get_home(), 'ttffont.cache')
ttfcache = os.path.join(get_configdir(), 'ttffont.cache')
if os.path.exists(oldcache):
print >> sys.stderr, 'Moving old ttfcache location "%s" to new location "%s"'%(oldcache, ttfcache)
shutil.move(oldcache, ttfcache)
try:
import cPickle as pickle
except ImportError:
import pickle
def rebuild():
self.ttfdict = createFontDict(self.ttffiles)
pickle.dump(self.ttfdict, file(ttfcache, 'w'))
verbose.report(cache_message % ttfcache)
try:
self.ttfdict = pickle.load(file(ttfcache))
except:
rebuild()
else:
# verify all the cached fnames still exist; if not rebuild
for fname in ttfdict_to_fnames(self.ttfdict):
if not os.path.exists(fname):
rebuild()
break
verbose.report('loaded ttfcache file %s'%ttfcache)
#self.ttfdict = createFontDict(self.ttffiles)
# Load AFM fonts for PostScript
# Only load file names at this stage, the font dictionary will be
# created when needed.
self.afmfiles = findSystemFonts(paths, fontext='afm') + \
findSystemFonts(fontext='afm')
self.afmdict = {}
import datetime
import numpy as np
from matplotlib import verbose, get_configdir
from matplotlib.dates import date2num
from matplotlib.cbook import iterable, mkdirs
from matplotlib.collections import LineCollection, PolyCollection
from matplotlib.colors import colorConverter
from matplotlib.lines import Line2D, TICKLEFT, TICKRIGHT
from matplotlib.patches import Rectangle
from matplotlib.transforms import Affine2D
configdir = get_configdir()
# cachedir will be None if there is no writable directory.
if configdir is not None:
cachedir = os.path.join(configdir, 'finance.cache')
else:
# Should only happen in a restricted environment (such as Google App
# Engine). Deal with this gracefully by not caching finance data.
cachedir = None
stock_dt = np.dtype([('date', object),
('year', np.int16),
('month', np.int8),
('day', np.int8),
('d', np.float), # mpl datenum
('open', np.float),
if __name__=='__main__':
referenceLabel='Delivered'#from which label,lumi unit should be calculated
labels=['Delivered','Recorded']#default label order
allowedActions = ['run','time','fill','perday','instpeakperday']
beamChoices=['PROTPHYS','IONPHYS','PAPHYS']
allowedscales=['linear','log','both']
beamModeChoices = [ "stable", "quiet", "either"]
amodetagChoices = [ "PROTPHYS","IONPHYS",'PAPHYS' ]
actiontofilebasemap={'time':'lumivstime','run':'lumivsrun','fill':'lumivsfill','perday':'lumiperday','instpeakperday':'lumipeak'}
#
# parse figure configuration if found
#
currentdir=os.getcwd()
rcparamfile='.lumiplotrc'
mplrcdir=matplotlib.get_configdir()
mpllumiconfig=os.path.join(mplrcdir,rcparamfile)
locallumiconfig=os.path.join(currentdir,rcparamfile)
figureparams={'sizex':7.5,'sizey':5.7,'dpi':135}
if os.path.exists(locallumiconfig):
import ConfigParser
try:
config=ConfigParser.RawConfigParser()
config.read(locallumiconfig)
figureparams['sizex']=config.getfloat('sizex')
figureparams['sizey']=config.getfloat('sizey')
figureparams['dpi']=config.getint('dpi')
except ConfigParser.NoOptionError:
pass
elif os.path.exists(mpllumiconfig):
import ConfigParser
import jupyter_core.paths
import matplotlib as mpl
# Root directory of repository (where this file is located)
root_dir = os.path.realpath(os.path.dirname(__file__))
# Get IPython configuration directory
ipython_dir = IPython.paths.get_ipython_dir()
# Destination directories for each source directory
# (except IPython, which depends on the profile to be used...)
dest_dirs = {
'.ipython': ipython_dir,
'.jupyter': jupyter_core.paths.jupyter_config_dir(),
'.matplotlib': mpl.get_configdir(),
}
# Proper function to get raw input from user in Python 2 or 3
if sys.version_info.major == 2:
get_input = raw_input
else:
get_input = input
# Symbolic link function for unix vs windows
try:
symlink = os.symlink
except AttributeError:
# https://www.datacamp.com/community/tutorials/machine-learning-python
import numpy as np
from sklearn import datasets
digits = datasets.load_digits()
#print(digits)
import matplotlib
from sklearn.decomposition import RandomizedPCA
from sklearn.decomposition import PCA
print "config dir=", matplotlib.get_configdir()
matplotlib.use('TkAgg')
# the same dataset as above but from another location
#import pandas as pd
#digits = pd.read_csv("http://archive.ics.uci.edu/ml/machine-learning-databases/optdigits/optdigits.tra", header=None)
print " ---- KEYS ------"
print digits.keys()
print " ---- DATA ----"
print digits.data
print " == DESCR ==="
#print digits.DESCR
# Isolate the `digits` data
digits_data = digits.data
print "there are 1797 samples and that there are 64 features "
# Inspect the shape
print(digits_data.shape)
# Isolate the target values with `target`
from numpy import *
import scipy.constants as con
from scipy.ndimage.filters import median_filter
from matplotlib.pyplot import *
import matplotlib.patches as patches
import matplotlib.image as mpimg
import profile
from matplotlib import rc
import dm3lib_v099 as dm3
print matplotlib.get_configdir()
print args, fullpath
# with file('log.txt', 'w') as outfile:
# outfile.write('# Args\n')
# outfile.write(str(args))
rc("savefig", dpi=600)
rc("xtick", direction="out")
rc("ytick", direction="out")
rc("lines", markeredgewidth=1)
print "Welcome to Diffraction Ring Profiler. This program will measure electron diffraction rings"
print " and extract intensity profiles from the diffraction pattern."
import os
import sys
from os.path import join, exists, expanduser
import matplotlib as mpl
mplrc_dir = mpl.get_configdir()
if sys.platform.startswith('linux'):
mplrc_dir = expanduser('~/.config/matplotlib')
# To conform with the XDG base directory standard,
# this configuration location has been deprecated on Linux,
# and the new location is now '/home/joncrall/.config'/matplotlib/.
# Please move your configuration there to ensure that matplotlib will
# continue to find it in the future.
mplrc_fpath = join(mplrc_dir, 'matplotlibrc')
mplrc_text = '''
backend : qt4agg
'''
if not exists(mplrc_dir):
os.makedirs(mplrc_dir)
with open(mplrc_fpath, 'w') as file_:
file_.write(mplrc_text)
print('wrote %r' % mplrc_fpath)
# -*- coding:utf8 -*-
import matplotlib as mpl
print mpl.rcParams
print len(mpl.rcParams)
mpl.rc('lines', linewidth=2, color='r')
print mpl.get_configdir()
def get_map_dir(mapdir=None):
"""Get the directory where cqched maps are stored"""
if mapdir is None:
mapdir = os.path.join(get_configdir(), 'basemap', 'cached_maps')
return mapdir
def findfont(prop, fontext='ttf'):
if not is_string_like(prop):
prop = prop.get_fontconfig_pattern()
cached = _fc_match_cache.get(prop)
if cached is not None:
return cached
result = fc_match(prop, fontext)
if result is None:
result = fc_match(':', fontext)
_fc_match_cache[prop] = result
return result
else:
_fmcache = os.path.join(get_configdir(), 'fontManager.cache')
fontManager = None
def _rebuild():
global fontManager
fontManager = FontManager()
pickle_dump(fontManager, _fmcache)
verbose.report("generated new fontManager")
try:
fontManager = pickle_load(_fmcache)
fontManager.default_size = None
verbose.report("Using fontManager instance from %s" % _fmcache)
except:
_rebuild()
return None
_fc_match_regex = re.compile(r'\sfile:\s+"([^"]*)"')
_fc_match_cache = {}
def findfont(prop, fontext='ttf'):
if not is_string_like(prop):
prop = prop.get_fontconfig_pattern()
cached = _fc_match_cache.get(prop)
if cached is not None:
return cached
result = fc_match(prop, fontext)
if result is None:
result = fc_match(':', fontext)
_fc_match_cache[prop] = result
return result
else:
_fmcache = os.path.join(get_configdir(), 'fontList.cache')
fontManager = None
def _rebuild():
global fontManager
fontManager = FontManager()
pickle_dump(fontManager, _fmcache)
verbose.report("generated new fontManager")
try:
fontManager = pickle_load(_fmcache)
if (not hasattr(fontManager, '_version') or
fontManager._version != FontManager.__version__):
_rebuild()
else:
fontManager.default_size = None
verbose.report("Using fontManager instance from %s" % _fmcache)
except:
import contextlib
import os
import re
import warnings
import matplotlib as mpl
from matplotlib import rc_params_from_file, rcParamsDefault
from matplotlib.cbook import MatplotlibDeprecationWarning
__all__ = ['use', 'context', 'available', 'library', 'reload_library']
BASE_LIBRARY_PATH = os.path.join(mpl.get_data_path(), 'stylelib')
# Users may want multiple library paths, so store a list of paths.
USER_LIBRARY_PATHS = [os.path.join(mpl.get_configdir(), 'stylelib')]
STYLE_EXTENSION = 'mplstyle'
STYLE_FILE_PATTERN = re.compile(r'([\S]+).%s$' % STYLE_EXTENSION)
# A list of rcParams that should not be applied from styles
STYLE_BLACKLIST = {
'interactive', 'backend', 'backend.qt4', 'webagg.port', 'webagg.address',
'webagg.port_retries', 'webagg.open_in_browser', 'backend_fallback',
'toolbar', 'timezone', 'datapath', 'figure.max_open_warning',
'savefig.directory', 'tk.window_focus', 'docstring.hardcopy'}
def _remove_blacklisted_style_params(d, warn=True):
o = {}
for key, val in d.items():
from numpy.random import *
from matplotlib import pyplot as plt
import matplotlib as mpl
import matplotlib.font_manager as fm
print(mpl.get_configdir())
print(fm.findSystemFonts())
# 乱数生成
rand_nums = randn(100)
# 追加部分 フォントを指定する。
plt.rcParams["font.family"] = "IPAexGothic"
# ヒストグラム表示
plt.hist(rand_nums)
plt.xlabel("X軸と表示したい")
plt.ylabel("Y軸と表示したい")
plt.show()
import os
import shutil
import matplotlib as mpl
stylelib = os.path.join(mpl.get_configdir(), 'stylelib')
# in case you don't have a stylelib directory yet
try:
os.mkdir(stylelib)
except FileExistsError:
pass
# copy the files into the stylelib directory
[shutil.copy(f, stylelib) for f in os.listdir('.') if f.endswith('.mplstyle')]
"""
Created on Jun 12, 2015
precisa colocar o argumento py2exe
@author: Paloschi
"""
import matplotlib
matplotlib.use("Agg") # overrule configuration
print(matplotlib.get_configdir())
from distutils.core import setup
import py2exe
Mydata_files = [("images", ["images/icons/icon_trator.png"])]
setup(
windows=["CyMP.py"],
data_files=(matplotlib.get_py2exe_datafiles()),
options={
"py2exe": {
# "dll_excludes" : [],
"dll_excludes": [
"MSVCP90.dll",
"HID.DLL",
"api-ms-win-core-processthreads-l1-1-2.dll",
"api-ms-win-core-delayload-l1-1-1.dll",
"api-ms-win-core-errorhandling-l1-1-1.dll",
"api-ms-win-core-sysinfo-l1-2-1.dll",
"api-ms-win-core-heap-l2-1-0.dll",
"api-ms-win-core-profile-l1-1-0.dll",
from __future__ import division
import numpy as np
import pandas as pd
import matplotlib
matplotlib.get_configdir()
matplotlib.use('Agg') # Must be before importing matplotlib.pyplot or pylab!
import matplotlib.pyplot as plt
from pylab import *
from matplotlib import rcParams
from scipy import integrate
# Getting SVN number
GIT=
# Help to find the fonts properly!
# You can find the list of fonts installed on the system with:
#fonts = "\n".join(matplotlib.font_manager.findSystemFonts(fontpaths=None, fontext="ttf"))
#print fonts
# If Times New Roman is listed in the system, check if it is listed in python:
#print [f.name for f in matplotlib.font_manager.fontManager.ttflist]
# Maybe the python package have its own fonts folder, find it and add the file times.ttf
# Then, you need to remove the fontmanager cache so the code will read the new file
# Find the cache location with:
#print matplotlib.get_cachedir()
# Defining fonts to be used in plots
rcParams.update({'figure.autolayout': True})
rcParams.update({'font.family':'Times New Roman'})
rcParams.update({'font.size':20})
