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loads/molotov
molotov/util.py
request
def request(endpoint, verb='GET', session_options=None, **options): """Performs a synchronous request. Uses a dedicated event loop and aiohttp.ClientSession object. Options: - endpoint: the endpoint to call - verb: the HTTP verb to use (defaults: GET) - session_options: a dict containing opti...
python
def request(endpoint, verb='GET', session_options=None, **options): """Performs a synchronous request. Uses a dedicated event loop and aiohttp.ClientSession object. Options: - endpoint: the endpoint to call - verb: the HTTP verb to use (defaults: GET) - session_options: a dict containing opti...
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Performs a synchronous request. Uses a dedicated event loop and aiohttp.ClientSession object. Options: - endpoint: the endpoint to call - verb: the HTTP verb to use (defaults: GET) - session_options: a dict containing options to initialize the session (defaults: None) - options: extra o...
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loads/molotov
molotov/util.py
json_request
def json_request(endpoint, verb='GET', session_options=None, **options): """Like :func:`molotov.request` but extracts json from the response. """ req = functools.partial(_request, endpoint, verb, session_options, json=True, **options) return _run_in_fresh_loop(req)
python
def json_request(endpoint, verb='GET', session_options=None, **options): """Like :func:`molotov.request` but extracts json from the response. """ req = functools.partial(_request, endpoint, verb, session_options, json=True, **options) return _run_in_fresh_loop(req)
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loads/molotov
molotov/util.py
get_var
def get_var(name, factory=None): """Gets a global variable given its name. If factory is not None and the variable is not set, factory is a callable that will set the variable. If not set, returns None. """ if name not in _VARS and factory is not None: _VARS[name] = factory() retur...
python
def get_var(name, factory=None): """Gets a global variable given its name. If factory is not None and the variable is not set, factory is a callable that will set the variable. If not set, returns None. """ if name not in _VARS and factory is not None: _VARS[name] = factory() retur...
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loads/molotov
molotov/worker.py
Worker.step
async def step(self, step_id, session, scenario=None): """ single scenario call. When it returns 1, it works. -1 the script failed, 0 the test is stopping or needs to stop. """ if scenario is None: scenario = pick_scenario(self.wid, step_id) try: ...
python
async def step(self, step_id, session, scenario=None): """ single scenario call. When it returns 1, it works. -1 the script failed, 0 the test is stopping or needs to stop. """ if scenario is None: scenario = pick_scenario(self.wid, step_id) try: ...
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loads/molotov
molotov/slave.py
main
def main(): """Moloslave clones a git repo and runs a molotov test """ parser = argparse.ArgumentParser(description='Github-based load test') parser.add_argument('--version', action='store_true', default=False, help='Displays version and exits.') parser.add_argument('--virt...
python
def main(): """Moloslave clones a git repo and runs a molotov test """ parser = argparse.ArgumentParser(description='Github-based load test') parser.add_argument('--version', action='store_true', default=False, help='Displays version and exits.') parser.add_argument('--virt...
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joeyespo/gitpress
gitpress/helpers.py
remove_directory
def remove_directory(directory, show_warnings=True): """Deletes a directory and its contents. Returns a list of errors in form (function, path, excinfo).""" errors = [] def onerror(function, path, excinfo): if show_warnings: print 'Cannot delete %s: %s' % (os.path.relpath(directory)...
python
def remove_directory(directory, show_warnings=True): """Deletes a directory and its contents. Returns a list of errors in form (function, path, excinfo).""" errors = [] def onerror(function, path, excinfo): if show_warnings: print 'Cannot delete %s: %s' % (os.path.relpath(directory)...
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joeyespo/gitpress
gitpress/helpers.py
copy_files
def copy_files(source_files, target_directory, source_directory=None): """Copies a list of files to the specified directory. If source_directory is provided, it will be prepended to each source file.""" try: os.makedirs(target_directory) except: # TODO: specific exception? pass f...
python
def copy_files(source_files, target_directory, source_directory=None): """Copies a list of files to the specified directory. If source_directory is provided, it will be prepended to each source file.""" try: os.makedirs(target_directory) except: # TODO: specific exception? pass f...
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joeyespo/gitpress
gitpress/helpers.py
yes_or_no
def yes_or_no(message): """Gets user input and returns True for yes and False for no.""" while True: print message, '(yes/no)', line = raw_input() if line is None: return None line = line.lower() if line == 'y' or line == 'ye' or line == 'yes': ret...
python
def yes_or_no(message): """Gets user input and returns True for yes and False for no.""" while True: print message, '(yes/no)', line = raw_input() if line is None: return None line = line.lower() if line == 'y' or line == 'ye' or line == 'yes': ret...
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joeyespo/gitpress
gitpress/plugins.py
list_plugins
def list_plugins(directory=None): """Gets a list of the installed themes.""" repo = require_repo(directory) plugins = get_value(repo, 'plugins') if not plugins or not isinstance(plugins, dict): return None return plugins.keys()
python
def list_plugins(directory=None): """Gets a list of the installed themes.""" repo = require_repo(directory) plugins = get_value(repo, 'plugins') if not plugins or not isinstance(plugins, dict): return None return plugins.keys()
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joeyespo/gitpress
gitpress/plugins.py
add_plugin
def add_plugin(plugin, directory=None): """Adds the specified plugin. This returns False if it was already added.""" repo = require_repo(directory) plugins = get_value(repo, 'plugins', expect_type=dict) if plugin in plugins: return False plugins[plugin] = {} set_value(repo, 'plugins', p...
python
def add_plugin(plugin, directory=None): """Adds the specified plugin. This returns False if it was already added.""" repo = require_repo(directory) plugins = get_value(repo, 'plugins', expect_type=dict) if plugin in plugins: return False plugins[plugin] = {} set_value(repo, 'plugins', p...
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joeyespo/gitpress
gitpress/plugins.py
get_plugin_settings
def get_plugin_settings(plugin, directory=None): """Gets the settings for the specified plugin.""" repo = require_repo(directory) plugins = get_value(repo, 'plugins') return plugins.get(plugin) if isinstance(plugins, dict) else None
python
def get_plugin_settings(plugin, directory=None): """Gets the settings for the specified plugin.""" repo = require_repo(directory) plugins = get_value(repo, 'plugins') return plugins.get(plugin) if isinstance(plugins, dict) else None
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joeyespo/gitpress
gitpress/previewing.py
preview
def preview(directory=None, host=None, port=None, watch=True): """Runs a local server to preview the working directory of a repository.""" directory = directory or '.' host = host or '127.0.0.1' port = port or 5000 # TODO: admin interface # TODO: use cache_only to keep from modifying output di...
python
def preview(directory=None, host=None, port=None, watch=True): """Runs a local server to preview the working directory of a repository.""" directory = directory or '.' host = host or '127.0.0.1' port = port or 5000 # TODO: admin interface # TODO: use cache_only to keep from modifying output di...
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joeyespo/gitpress
gitpress/repository.py
require_repo
def require_repo(directory=None): """Checks for a presentation repository and raises an exception if not found.""" if directory and not os.path.isdir(directory): raise ValueError('Directory not found: ' + repr(directory)) repo = repo_path(directory) if not os.path.isdir(repo): raise Repo...
python
def require_repo(directory=None): """Checks for a presentation repository and raises an exception if not found.""" if directory and not os.path.isdir(directory): raise ValueError('Directory not found: ' + repr(directory)) repo = repo_path(directory) if not os.path.isdir(repo): raise Repo...
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joeyespo/gitpress
gitpress/repository.py
init
def init(directory=None): """Initializes a Gitpress presentation repository at the specified directory.""" repo = repo_path(directory) if os.path.isdir(repo): raise RepositoryAlreadyExistsError(directory, repo) # Initialize repository with default template shutil.copytree(default_template_p...
python
def init(directory=None): """Initializes a Gitpress presentation repository at the specified directory.""" repo = repo_path(directory) if os.path.isdir(repo): raise RepositoryAlreadyExistsError(directory, repo) # Initialize repository with default template shutil.copytree(default_template_p...
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joeyespo/gitpress
gitpress/repository.py
iterate_presentation_files
def iterate_presentation_files(path=None, excludes=None, includes=None): """Iterates the repository presentation files relative to 'path', not including themes. Note that 'includes' take priority.""" # Defaults if includes is None: includes = [] if excludes is None: excludes = [] ...
python
def iterate_presentation_files(path=None, excludes=None, includes=None): """Iterates the repository presentation files relative to 'path', not including themes. Note that 'includes' take priority.""" # Defaults if includes is None: includes = [] if excludes is None: excludes = [] ...
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joeyespo/gitpress
gitpress/config.py
read_config_file
def read_config_file(path): """Returns the configuration from the specified file.""" try: with open(path, 'r') as f: return json.load(f, object_pairs_hook=OrderedDict) except IOError as ex: if ex != errno.ENOENT: raise return {}
python
def read_config_file(path): """Returns the configuration from the specified file.""" try: with open(path, 'r') as f: return json.load(f, object_pairs_hook=OrderedDict) except IOError as ex: if ex != errno.ENOENT: raise return {}
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joeyespo/gitpress
gitpress/config.py
write_config
def write_config(repo_directory, config): """Writes the specified configuration to the presentation repository.""" return write_config_file(os.path.join(repo_directory, config_file), config)
python
def write_config(repo_directory, config): """Writes the specified configuration to the presentation repository.""" return write_config_file(os.path.join(repo_directory, config_file), config)
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joeyespo/gitpress
gitpress/config.py
write_config_file
def write_config_file(path, config): """Writes the specified configuration to the specified file.""" contents = json.dumps(config, indent=4, separators=(',', ': ')) + '\n' try: with open(path, 'w') as f: f.write(contents) return True except IOError as ex: if ex != err...
python
def write_config_file(path, config): """Writes the specified configuration to the specified file.""" contents = json.dumps(config, indent=4, separators=(',', ': ')) + '\n' try: with open(path, 'w') as f: f.write(contents) return True except IOError as ex: if ex != err...
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joeyespo/gitpress
gitpress/config.py
get_value
def get_value(repo_directory, key, expect_type=None): """Gets the value of the specified key in the config file.""" config = read_config(repo_directory) value = config.get(key) if expect_type and value is not None and not isinstance(value, expect_type): raise ConfigSchemaError('Expected config v...
python
def get_value(repo_directory, key, expect_type=None): """Gets the value of the specified key in the config file.""" config = read_config(repo_directory) value = config.get(key) if expect_type and value is not None and not isinstance(value, expect_type): raise ConfigSchemaError('Expected config v...
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joeyespo/gitpress
gitpress/config.py
set_value
def set_value(repo_directory, key, value, strict=True): """Sets the value of a particular key in the config file. This has no effect when setting to the same value.""" if value is None: raise ValueError('Argument "value" must not be None.') # Read values and do nothing if not making any changes ...
python
def set_value(repo_directory, key, value, strict=True): """Sets the value of a particular key in the config file. This has no effect when setting to the same value.""" if value is None: raise ValueError('Argument "value" must not be None.') # Read values and do nothing if not making any changes ...
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joeyespo/gitpress
gitpress/building.py
build
def build(content_directory=None, out_directory=None): """Builds the site from its content and presentation repository.""" content_directory = content_directory or '.' out_directory = os.path.abspath(out_directory or default_out_directory) repo = require_repo(content_directory) # Prevent user mista...
python
def build(content_directory=None, out_directory=None): """Builds the site from its content and presentation repository.""" content_directory = content_directory or '.' out_directory = os.path.abspath(out_directory or default_out_directory) repo = require_repo(content_directory) # Prevent user mista...
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Builds the site from its content and presentation repository.
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train
https://github.com/joeyespo/gitpress/blob/a23edb80b6e4a113d167217475344a01c92b5c6d/gitpress/building.py#L9-L31
joeyespo/gitpress
gitpress/command.py
main
def main(argv=None): """The entry point of the application.""" if argv is None: argv = sys.argv[1:] usage = '\n\n\n'.join(__doc__.split('\n\n\n')[1:]) version = 'Gitpress ' + __version__ # Parse options args = docopt(usage, argv=argv, version=version) # Execute command try: ...
python
def main(argv=None): """The entry point of the application.""" if argv is None: argv = sys.argv[1:] usage = '\n\n\n'.join(__doc__.split('\n\n\n')[1:]) version = 'Gitpress ' + __version__ # Parse options args = docopt(usage, argv=argv, version=version) # Execute command try: ...
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The entry point of the application.
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train
https://github.com/joeyespo/gitpress/blob/a23edb80b6e4a113d167217475344a01c92b5c6d/gitpress/command.py#L40-L54
joeyespo/gitpress
gitpress/command.py
execute
def execute(args): """Executes the command indicated by the specified parsed arguments.""" def info(*message): """Displays a message unless -q was specified.""" if not args['-q']: print ' '.join(map(str, message)) if args['init']: try: repo = init(args['<dir...
python
def execute(args): """Executes the command indicated by the specified parsed arguments.""" def info(*message): """Displays a message unless -q was specified.""" if not args['-q']: print ' '.join(map(str, message)) if args['init']: try: repo = init(args['<dir...
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Executes the command indicated by the specified parsed arguments.
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train
https://github.com/joeyespo/gitpress/blob/a23edb80b6e4a113d167217475344a01c92b5c6d/gitpress/command.py#L57-L145
joeyespo/gitpress
gitpress/command.py
gpp
def gpp(argv=None): """Shortcut function for running the previewing command.""" if argv is None: argv = sys.argv[1:] argv.insert(0, 'preview') return main(argv)
python
def gpp(argv=None): """Shortcut function for running the previewing command.""" if argv is None: argv = sys.argv[1:] argv.insert(0, 'preview') return main(argv)
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Shortcut function for running the previewing command.
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train
https://github.com/joeyespo/gitpress/blob/a23edb80b6e4a113d167217475344a01c92b5c6d/gitpress/command.py#L152-L157
joeyespo/gitpress
gitpress/themes.py
list_themes
def list_themes(directory=None): """Gets a list of the installed themes.""" repo = require_repo(directory) path = os.path.join(repo, themes_dir) return os.listdir(path) if os.path.isdir(path) else None
python
def list_themes(directory=None): """Gets a list of the installed themes.""" repo = require_repo(directory) path = os.path.join(repo, themes_dir) return os.listdir(path) if os.path.isdir(path) else None
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Gets a list of the installed themes.
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train
https://github.com/joeyespo/gitpress/blob/a23edb80b6e4a113d167217475344a01c92b5c6d/gitpress/themes.py#L17-L21
joeyespo/gitpress
gitpress/themes.py
use_theme
def use_theme(theme, directory=None): """Switches to the specified theme. This returns False if switching to the already active theme.""" repo = require_repo(directory) if theme not in list_themes(directory): raise ThemeNotFoundError(theme) old_theme = set_value(repo, 'theme', theme) return...
python
def use_theme(theme, directory=None): """Switches to the specified theme. This returns False if switching to the already active theme.""" repo = require_repo(directory) if theme not in list_themes(directory): raise ThemeNotFoundError(theme) old_theme = set_value(repo, 'theme', theme) return...
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Switches to the specified theme. This returns False if switching to the already active theme.
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train
https://github.com/joeyespo/gitpress/blob/a23edb80b6e4a113d167217475344a01c92b5c6d/gitpress/themes.py#L24-L31
wrobstory/vincent
vincent/properties.py
PropertySet.fill_opacity
def fill_opacity(value): """ValueRef : int or float, opacity of the fill (0 to 1) """ if value.value: _assert_is_type('fill_opacity.value', value.value, (float, int)) if value.value < 0 or value.value > 1: raise ValueError( ...
python
def fill_opacity(value): """ValueRef : int or float, opacity of the fill (0 to 1) """ if value.value: _assert_is_type('fill_opacity.value', value.value, (float, int)) if value.value < 0 or value.value > 1: raise ValueError( ...
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ValueRef : int or float, opacity of the fill (0 to 1)
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/properties.py#L89-L97
wrobstory/vincent
vincent/properties.py
PropertySet.stroke_width
def stroke_width(value): """ValueRef : int, width of the stroke in pixels """ if value.value: _assert_is_type('stroke_width.value', value.value, int) if value.value < 0: raise ValueError('stroke width cannot be negative')
python
def stroke_width(value): """ValueRef : int, width of the stroke in pixels """ if value.value: _assert_is_type('stroke_width.value', value.value, int) if value.value < 0: raise ValueError('stroke width cannot be negative')
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ValueRef : int, width of the stroke in pixels
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https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/properties.py#L111-L117
wrobstory/vincent
vincent/properties.py
PropertySet.stroke_opacity
def stroke_opacity(value): """ValueRef : number, opacity of the stroke (0 to 1) """ if value.value: _assert_is_type('stroke_opacity.value', value.value, (float, int)) if value.value < 0 or value.value > 1: raise ValueError( ...
python
def stroke_opacity(value): """ValueRef : number, opacity of the stroke (0 to 1) """ if value.value: _assert_is_type('stroke_opacity.value', value.value, (float, int)) if value.value < 0 or value.value > 1: raise ValueError( ...
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ValueRef : number, opacity of the stroke (0 to 1)
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https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/properties.py#L120-L128
wrobstory/vincent
vincent/properties.py
PropertySet.size
def size(value): """ValueRef : number, area of the mark in pixels This is the total area of a symbol. For example, a value of 500 and a ``shape`` of ``'circle'`` would result in circles with an area of 500 square pixels. Only used if ``type`` is ``'symbol'``. """ if valu...
python
def size(value): """ValueRef : number, area of the mark in pixels This is the total area of a symbol. For example, a value of 500 and a ``shape`` of ``'circle'`` would result in circles with an area of 500 square pixels. Only used if ``type`` is ``'symbol'``. """ if valu...
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ValueRef : number, area of the mark in pixels This is the total area of a symbol. For example, a value of 500 and a ``shape`` of ``'circle'`` would result in circles with an area of 500 square pixels. Only used if ``type`` is ``'symbol'``.
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/properties.py#L131-L141
wrobstory/vincent
vincent/properties.py
PropertySet.shape
def shape(value): """ValueRef : string, type of symbol to use Possible values are ``'circle'`` (default), ``'square'``, ``'cross'``, ``'diamond'``, ``'triangle-up'``, and ``'triangle-down'``. Only used if ``type`` is ``'symbol'``. """ if value.value: _assert_...
python
def shape(value): """ValueRef : string, type of symbol to use Possible values are ``'circle'`` (default), ``'square'``, ``'cross'``, ``'diamond'``, ``'triangle-up'``, and ``'triangle-down'``. Only used if ``type`` is ``'symbol'``. """ if value.value: _assert_...
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ValueRef : string, type of symbol to use Possible values are ``'circle'`` (default), ``'square'``, ``'cross'``, ``'diamond'``, ``'triangle-up'``, and ``'triangle-down'``. Only used if ``type`` is ``'symbol'``.
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/properties.py#L148-L158
wrobstory/vincent
vincent/properties.py
PropertySet.interpolate
def interpolate(value): """ValueRef : string, line interpolation method to use Possible values for ``area`` types are `'linear'`, ``'step-before'``, ``'step-after'``, ``'basis'``, ``'basis-open'``, ``'cardinal'``, ``'cardinal-open'``, ``'monotone'``. ``line`` types have all valu...
python
def interpolate(value): """ValueRef : string, line interpolation method to use Possible values for ``area`` types are `'linear'`, ``'step-before'``, ``'step-after'``, ``'basis'``, ``'basis-open'``, ``'cardinal'``, ``'cardinal-open'``, ``'monotone'``. ``line`` types have all valu...
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ValueRef : string, line interpolation method to use Possible values for ``area`` types are `'linear'`, ``'step-before'``, ``'step-after'``, ``'basis'``, ``'basis-open'``, ``'cardinal'``, ``'cardinal-open'``, ``'monotone'``. ``line`` types have all values for ``area`` as well as ``'basis...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/properties.py#L206-L220
wrobstory/vincent
vincent/properties.py
PropertySet.align
def align(value): """ValueRef : string, horizontal alignment of mark Possible values are ``'left'``, ``'right'``, and ``'center'``. Only used if ``type`` is ``'image'`` or ``'text'``. """ if value.value: _assert_is_type('shape.value', value.value, str_types) ...
python
def align(value): """ValueRef : string, horizontal alignment of mark Possible values are ``'left'``, ``'right'``, and ``'center'``. Only used if ``type`` is ``'image'`` or ``'text'``. """ if value.value: _assert_is_type('shape.value', value.value, str_types) ...
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ValueRef : string, horizontal alignment of mark Possible values are ``'left'``, ``'right'``, and ``'center'``. Only used if ``type`` is ``'image'`` or ``'text'``.
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/properties.py#L239-L248
wrobstory/vincent
vincent/properties.py
PropertySet.baseline
def baseline(value): """ValueRef : string, vertical alignment of mark Possible values are ``'top'``, ``'middle'``, and ``'bottom'``. Only used if ``type`` is ``'image'`` or ``'text'``. """ if value.value: _assert_is_type('shape.value', value.value, str_types) ...
python
def baseline(value): """ValueRef : string, vertical alignment of mark Possible values are ``'top'``, ``'middle'``, and ``'bottom'``. Only used if ``type`` is ``'image'`` or ``'text'``. """ if value.value: _assert_is_type('shape.value', value.value, str_types) ...
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ValueRef : string, vertical alignment of mark Possible values are ``'top'``, ``'middle'``, and ``'bottom'``. Only used if ``type`` is ``'image'`` or ``'text'``.
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/properties.py#L253-L262
wrobstory/vincent
vincent/transforms.py
Transform.type
def type(value): """string: property name in which to store the computed transform value. The valid transform types are as follows: 'array', 'copy', 'cross', 'facet', 'filter', 'flatten', 'fold', 'formula', 'slice', 'sort', 'stats', 'truncate', 'unique', 'window', 'zip',...
python
def type(value): """string: property name in which to store the computed transform value. The valid transform types are as follows: 'array', 'copy', 'cross', 'facet', 'filter', 'flatten', 'fold', 'formula', 'slice', 'sort', 'stats', 'truncate', 'unique', 'window', 'zip',...
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string: property name in which to store the computed transform value. The valid transform types are as follows: 'array', 'copy', 'cross', 'facet', 'filter', 'flatten', 'fold', 'formula', 'slice', 'sort', 'stats', 'truncate', 'unique', 'window', 'zip', 'force', 'geo', 'geopath', ...
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wrobstory/vincent
vincent/charts.py
data_type
def data_type(data, grouped=False, columns=None, key_on='idx', iter_idx=None): '''Data type check for automatic import''' if iter_idx: return Data.from_mult_iters(idx=iter_idx, **data) if pd: if isinstance(data, (pd.Series, pd.DataFrame)): return Data.from_pandas(data, grouped=gr...
python
def data_type(data, grouped=False, columns=None, key_on='idx', iter_idx=None): '''Data type check for automatic import''' if iter_idx: return Data.from_mult_iters(idx=iter_idx, **data) if pd: if isinstance(data, (pd.Series, pd.DataFrame)): return Data.from_pandas(data, grouped=gr...
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Data type check for automatic import
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wrobstory/vincent
vincent/charts.py
Map.rebind
def rebind(self, column=None, brew='GnBu'): """Bind a new column to the data map Parameters ---------- column: str, default None Pandas DataFrame column name brew: str, default None Color brewer abbreviation. See colors.py """ self.data['...
python
def rebind(self, column=None, brew='GnBu'): """Bind a new column to the data map Parameters ---------- column: str, default None Pandas DataFrame column name brew: str, default None Color brewer abbreviation. See colors.py """ self.data['...
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wrobstory/vincent
vincent/visualization.py
Visualization.viewport
def viewport(value): """2-element list of ints : Dimensions of the viewport The viewport is a bounding box containing the visualization. If the dimensions of the visualization are larger than the viewport, then the visualization will be scrollable. If undefined, then the full v...
python
def viewport(value): """2-element list of ints : Dimensions of the viewport The viewport is a bounding box containing the visualization. If the dimensions of the visualization are larger than the viewport, then the visualization will be scrollable. If undefined, then the full v...
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2-element list of ints : Dimensions of the viewport The viewport is a bounding box containing the visualization. If the dimensions of the visualization are larger than the viewport, then the visualization will be scrollable. If undefined, then the full visualization is shown.
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wrobstory/vincent
vincent/visualization.py
Visualization.padding
def padding(value): """int or dict : Padding around visualization The padding defines the distance between the edge of the visualization canvas to the visualization box. It does not count as part of the visualization width/height. Values cannot be negative. If a dict, padding m...
python
def padding(value): """int or dict : Padding around visualization The padding defines the distance between the edge of the visualization canvas to the visualization box. It does not count as part of the visualization width/height. Values cannot be negative. If a dict, padding m...
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int or dict : Padding around visualization The padding defines the distance between the edge of the visualization canvas to the visualization box. It does not count as part of the visualization width/height. Values cannot be negative. If a dict, padding must have all keys ``''top'``, `...
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wrobstory/vincent
vincent/visualization.py
Visualization.data
def data(value): """list or KeyedList of ``Data`` : Data definitions This defines the data being visualized. See the :class:`Data` class for details. """ for i, entry in enumerate(value): _assert_is_type('data[{0}]'.format(i), entry, Data)
python
def data(value): """list or KeyedList of ``Data`` : Data definitions This defines the data being visualized. See the :class:`Data` class for details. """ for i, entry in enumerate(value): _assert_is_type('data[{0}]'.format(i), entry, Data)
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list or KeyedList of ``Data`` : Data definitions This defines the data being visualized. See the :class:`Data` class for details.
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wrobstory/vincent
vincent/visualization.py
Visualization.scales
def scales(value): """list or KeyedList of ``Scale`` : Scale definitions Scales map the data from the domain of the data to some visualization space (such as an x-axis). See the :class:`Scale` class for details. """ for i, entry in enumerate(value): _assert_i...
python
def scales(value): """list or KeyedList of ``Scale`` : Scale definitions Scales map the data from the domain of the data to some visualization space (such as an x-axis). See the :class:`Scale` class for details. """ for i, entry in enumerate(value): _assert_i...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/visualization.py#L132-L140
wrobstory/vincent
vincent/visualization.py
Visualization.axes
def axes(value): """list or KeyedList of ``Axis`` : Axis definitions Axes define the locations of the data being mapped by the scales. See the :class:`Axis` class for details. """ for i, entry in enumerate(value): _assert_is_type('axes[{0}]'.format(i), entry, Axis)
python
def axes(value): """list or KeyedList of ``Axis`` : Axis definitions Axes define the locations of the data being mapped by the scales. See the :class:`Axis` class for details. """ for i, entry in enumerate(value): _assert_is_type('axes[{0}]'.format(i), entry, Axis)
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list or KeyedList of ``Axis`` : Axis definitions Axes define the locations of the data being mapped by the scales. See the :class:`Axis` class for details.
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/visualization.py#L143-L150
wrobstory/vincent
vincent/visualization.py
Visualization.marks
def marks(value): """list or KeyedList of ``Mark`` : Mark definitions Marks are the visual objects (such as lines, bars, etc.) that represent the data in the visualization space. See the :class:`Mark` class for details. """ for i, entry in enumerate(value): _...
python
def marks(value): """list or KeyedList of ``Mark`` : Mark definitions Marks are the visual objects (such as lines, bars, etc.) that represent the data in the visualization space. See the :class:`Mark` class for details. """ for i, entry in enumerate(value): _...
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list or KeyedList of ``Mark`` : Mark definitions Marks are the visual objects (such as lines, bars, etc.) that represent the data in the visualization space. See the :class:`Mark` class for details.
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/visualization.py#L153-L161
wrobstory/vincent
vincent/visualization.py
Visualization.legends
def legends(value): """list or KeyedList of ``Legends`` : Legend definitions Legends visualize scales, and take one or more scales as their input. They can be customized via a LegendProperty object. """ for i, entry in enumerate(value): _assert_is_type('legends[{0}]'...
python
def legends(value): """list or KeyedList of ``Legends`` : Legend definitions Legends visualize scales, and take one or more scales as their input. They can be customized via a LegendProperty object. """ for i, entry in enumerate(value): _assert_is_type('legends[{0}]'...
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list or KeyedList of ``Legends`` : Legend definitions Legends visualize scales, and take one or more scales as their input. They can be customized via a LegendProperty object.
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train
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wrobstory/vincent
vincent/visualization.py
Visualization.axis_titles
def axis_titles(self, x=None, y=None): """Apply axis titles to the figure. This is a convenience method for manually modifying the "Axes" mark. Parameters ---------- x: string, default 'null' X-axis title y: string, default 'null' Y-axis title ...
python
def axis_titles(self, x=None, y=None): """Apply axis titles to the figure. This is a convenience method for manually modifying the "Axes" mark. Parameters ---------- x: string, default 'null' X-axis title y: string, default 'null' Y-axis title ...
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Apply axis titles to the figure. This is a convenience method for manually modifying the "Axes" mark. Parameters ---------- x: string, default 'null' X-axis title y: string, default 'null' Y-axis title Example ------- >>>vis.axis...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/visualization.py#L173-L201
wrobstory/vincent
vincent/visualization.py
Visualization._set_axis_properties
def _set_axis_properties(self, axis): """Set AxisProperties and PropertySets""" if not getattr(axis, 'properties'): axis.properties = AxisProperties() for prop in ['ticks', 'axis', 'major_ticks', 'minor_ticks', 'title', 'labels']: setattr(...
python
def _set_axis_properties(self, axis): """Set AxisProperties and PropertySets""" if not getattr(axis, 'properties'): axis.properties = AxisProperties() for prop in ['ticks', 'axis', 'major_ticks', 'minor_ticks', 'title', 'labels']: setattr(...
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wrobstory/vincent
vincent/visualization.py
Visualization._set_all_axis_color
def _set_all_axis_color(self, axis, color): """Set axis ticks, title, labels to given color""" for prop in ['ticks', 'axis', 'major_ticks', 'minor_ticks', 'title', 'labels']: prop_set = getattr(axis.properties, prop) if color and prop in ['title', 'labels']: ...
python
def _set_all_axis_color(self, axis, color): """Set axis ticks, title, labels to given color""" for prop in ['ticks', 'axis', 'major_ticks', 'minor_ticks', 'title', 'labels']: prop_set = getattr(axis.properties, prop) if color and prop in ['title', 'labels']: ...
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wrobstory/vincent
vincent/visualization.py
Visualization._axis_properties
def _axis_properties(self, axis, title_size, title_offset, label_angle, label_align, color): """Assign axis properties""" if self.axes: axis = [a for a in self.axes if a.scale == axis][0] self._set_axis_properties(axis) self._set_all_axis_colo...
python
def _axis_properties(self, axis, title_size, title_offset, label_angle, label_align, color): """Assign axis properties""" if self.axes: axis = [a for a in self.axes if a.scale == axis][0] self._set_axis_properties(axis) self._set_all_axis_colo...
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wrobstory/vincent
vincent/visualization.py
Visualization.common_axis_properties
def common_axis_properties(self, color=None, title_size=None): """Set common axis properties such as color Parameters ---------- color: str, default None Hex color str, etc """ if self.axes: for axis in self.axes: self._set_axis_pr...
python
def common_axis_properties(self, color=None, title_size=None): """Set common axis properties such as color Parameters ---------- color: str, default None Hex color str, etc """ if self.axes: for axis in self.axes: self._set_axis_pr...
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Set common axis properties such as color Parameters ---------- color: str, default None Hex color str, etc
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wrobstory/vincent
vincent/visualization.py
Visualization.x_axis_properties
def x_axis_properties(self, title_size=None, title_offset=None, label_angle=None, label_align=None, color=None): """Change x-axis title font size and label angle Parameters ---------- title_size: int, default None Title size, in px title_off...
python
def x_axis_properties(self, title_size=None, title_offset=None, label_angle=None, label_align=None, color=None): """Change x-axis title font size and label angle Parameters ---------- title_size: int, default None Title size, in px title_off...
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wrobstory/vincent
vincent/visualization.py
Visualization.y_axis_properties
def y_axis_properties(self, title_size=None, title_offset=None, label_angle=None, label_align=None, color=None): """Change y-axis title font size and label angle Parameters ---------- title_size: int, default None Title size, in px title_off...
python
def y_axis_properties(self, title_size=None, title_offset=None, label_angle=None, label_align=None, color=None): """Change y-axis title font size and label angle Parameters ---------- title_size: int, default None Title size, in px title_off...
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wrobstory/vincent
vincent/visualization.py
Visualization.legend
def legend(self, title=None, scale='color', text_color=None): """Convience method for adding a legend to the figure. Important: This defaults to the color scale that is generated with Line, Area, Stacked Line, etc charts. For bar charts, the scale ref is usually 'y'. Parameters...
python
def legend(self, title=None, scale='color', text_color=None): """Convience method for adding a legend to the figure. Important: This defaults to the color scale that is generated with Line, Area, Stacked Line, etc charts. For bar charts, the scale ref is usually 'y'. Parameters...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/visualization.py#L302-L325
wrobstory/vincent
vincent/visualization.py
Visualization.colors
def colors(self, brew=None, range_=None): """Convenience method for adding color brewer scales to charts with a color scale, such as stacked or grouped bars. See the colors here: http://colorbrewer2.org/ Or here: http://bl.ocks.org/mbostock/5577023 This assumes that a 'color' ...
python
def colors(self, brew=None, range_=None): """Convenience method for adding color brewer scales to charts with a color scale, such as stacked or grouped bars. See the colors here: http://colorbrewer2.org/ Or here: http://bl.ocks.org/mbostock/5577023 This assumes that a 'color' ...
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wrobstory/vincent
vincent/visualization.py
Visualization.validate
def validate(self, require_all=True, scale='colors'): """Validate the visualization contents. Parameters ---------- require_all : boolean, default True If True (default), then all fields ``data``, ``scales``, ``axes``, and ``marks`` must be defined. The user is a...
python
def validate(self, require_all=True, scale='colors'): """Validate the visualization contents. Parameters ---------- require_all : boolean, default True If True (default), then all fields ``data``, ``scales``, ``axes``, and ``marks`` must be defined. The user is a...
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wrobstory/vincent
vincent/visualization.py
Visualization._repr_html_
def _repr_html_(self): """Build the HTML representation for IPython.""" vis_id = str(uuid4()).replace("-", "") html = """<div id="vis%s"></div> <script> ( function() { var _do_plot = function() { if (typeof vg === 'undefined') { window.addEventListener('vincent_libs_loade...
python
def _repr_html_(self): """Build the HTML representation for IPython.""" vis_id = str(uuid4()).replace("-", "") html = """<div id="vis%s"></div> <script> ( function() { var _do_plot = function() { if (typeof vg === 'undefined') { window.addEventListener('vincent_libs_loade...
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Build the HTML representation for IPython.
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wrobstory/vincent
vincent/visualization.py
Visualization.display
def display(self): """Display the visualization inline in the IPython notebook. This is deprecated, use the following instead:: from IPython.display import display display(viz) """ from IPython.core.display import display, HTML display(HTML(self._repr_ht...
python
def display(self): """Display the visualization inline in the IPython notebook. This is deprecated, use the following instead:: from IPython.display import display display(viz) """ from IPython.core.display import display, HTML display(HTML(self._repr_ht...
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Display the visualization inline in the IPython notebook. This is deprecated, use the following instead:: from IPython.display import display display(viz)
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train
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wrobstory/vincent
vincent/data.py
Data.validate
def validate(self, *args): """Validate contents of class """ super(self.__class__, self).validate(*args) if not self.name: raise ValidationError('name is required for Data')
python
def validate(self, *args): """Validate contents of class """ super(self.__class__, self).validate(*args) if not self.name: raise ValidationError('name is required for Data')
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wrobstory/vincent
vincent/data.py
Data.serialize
def serialize(obj): """Convert an object into a JSON-serializable value This is used by the ``from_pandas`` and ``from_numpy`` functions to convert data to JSON-serializable types when loading. """ if isinstance(obj, str_types): return obj elif hasattr(obj, '...
python
def serialize(obj): """Convert an object into a JSON-serializable value This is used by the ``from_pandas`` and ``from_numpy`` functions to convert data to JSON-serializable types when loading. """ if isinstance(obj, str_types): return obj elif hasattr(obj, '...
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wrobstory/vincent
vincent/data.py
Data.from_pandas
def from_pandas(cls, data, columns=None, key_on='idx', name=None, series_key='data', grouped=False, records=False, **kwargs): """Load values from a pandas ``Series`` or ``DataFrame`` object Parameters ---------- data : pandas ``Series`` or ``DataFrame`` P...
python
def from_pandas(cls, data, columns=None, key_on='idx', name=None, series_key='data', grouped=False, records=False, **kwargs): """Load values from a pandas ``Series`` or ``DataFrame`` object Parameters ---------- data : pandas ``Series`` or ``DataFrame`` P...
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Load values from a pandas ``Series`` or ``DataFrame`` object Parameters ---------- data : pandas ``Series`` or ``DataFrame`` Pandas object to import data from. columns: list, default None DataFrame columns to convert to Data. Keys default to col names. ...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/data.py#L154-L234
wrobstory/vincent
vincent/data.py
Data.from_numpy
def from_numpy(cls, np_obj, name, columns, index=None, index_key=None, **kwargs): """Load values from a numpy array Parameters ---------- np_obj : numpy.ndarray numpy array to load data from name : string ``name`` field for the data ...
python
def from_numpy(cls, np_obj, name, columns, index=None, index_key=None, **kwargs): """Load values from a numpy array Parameters ---------- np_obj : numpy.ndarray numpy array to load data from name : string ``name`` field for the data ...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/data.py#L237-L291
wrobstory/vincent
vincent/data.py
Data.from_mult_iters
def from_mult_iters(cls, name=None, idx=None, **kwargs): """Load values from multiple iters Parameters ---------- name : string, default None Name of the data set. If None (default), the name will be set to ``'table'``. idx: string, default None ...
python
def from_mult_iters(cls, name=None, idx=None, **kwargs): """Load values from multiple iters Parameters ---------- name : string, default None Name of the data set. If None (default), the name will be set to ``'table'``. idx: string, default None ...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/data.py#L294-L339
wrobstory/vincent
vincent/data.py
Data.from_iter
def from_iter(cls, data, name=None): """Convenience method for loading data from an iterable. Defaults to numerical indexing for x-axis. Parameters ---------- data: iterable An iterable of data (list, tuple, dict of key/val pairs) name: string, default None ...
python
def from_iter(cls, data, name=None): """Convenience method for loading data from an iterable. Defaults to numerical indexing for x-axis. Parameters ---------- data: iterable An iterable of data (list, tuple, dict of key/val pairs) name: string, default None ...
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Convenience method for loading data from an iterable. Defaults to numerical indexing for x-axis. Parameters ---------- data: iterable An iterable of data (list, tuple, dict of key/val pairs) name: string, default None Name of the data set. If None (defau...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/data.py#L342-L364
wrobstory/vincent
vincent/data.py
Data.keypairs
def keypairs(cls, data, columns=None, use_index=False, name=None): """This will format the data as Key: Value pairs, rather than the idx/col/val style. This is useful for some transforms, and to key choropleth map data Standard Data Types: List: [0, 10, 20, 30, 40] ...
python
def keypairs(cls, data, columns=None, use_index=False, name=None): """This will format the data as Key: Value pairs, rather than the idx/col/val style. This is useful for some transforms, and to key choropleth map data Standard Data Types: List: [0, 10, 20, 30, 40] ...
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This will format the data as Key: Value pairs, rather than the idx/col/val style. This is useful for some transforms, and to key choropleth map data Standard Data Types: List: [0, 10, 20, 30, 40] Paired Tuples: ((0, 1), (0, 2), (0, 3)) Dict: {'A': 10, 'B': 20...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/data.py#L367-L430
wrobstory/vincent
vincent/data.py
Data._numpy_to_values
def _numpy_to_values(data): '''Convert a NumPy array to values attribute''' def to_list_no_index(xvals, yvals): return [{"x": x, "y": np.asscalar(y)} for x, y in zip(xvals, yvals)] if len(data.shape) == 1 or data.shape[1] == 1: xvals = range(data.shap...
python
def _numpy_to_values(data): '''Convert a NumPy array to values attribute''' def to_list_no_index(xvals, yvals): return [{"x": x, "y": np.asscalar(y)} for x, y in zip(xvals, yvals)] if len(data.shape) == 1 or data.shape[1] == 1: xvals = range(data.shap...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/data.py#L433-L460
wrobstory/vincent
vincent/data.py
Data.to_json
def to_json(self, validate=False, pretty_print=True, data_path=None): """Convert data to JSON Parameters ---------- data_path : string If not None, then data is written to a separate file at the specified path. Note that the ``url`` attribute if the data must ...
python
def to_json(self, validate=False, pretty_print=True, data_path=None): """Convert data to JSON Parameters ---------- data_path : string If not None, then data is written to a separate file at the specified path. Note that the ``url`` attribute if the data must ...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/data.py#L462-L479
wrobstory/vincent
vincent/core.py
initialize_notebook
def initialize_notebook(): """Initialize the IPython notebook display elements""" try: from IPython.core.display import display, HTML except ImportError: print("IPython Notebook could not be loaded.") # Thanks to @jakevdp: # https://github.com/jakevdp/mpld3/blob/master/mpld3/_displa...
python
def initialize_notebook(): """Initialize the IPython notebook display elements""" try: from IPython.core.display import display, HTML except ImportError: print("IPython Notebook could not be loaded.") # Thanks to @jakevdp: # https://github.com/jakevdp/mpld3/blob/master/mpld3/_displa...
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Initialize the IPython notebook display elements
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train
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wrobstory/vincent
vincent/core.py
_assert_is_type
def _assert_is_type(name, value, value_type): """Assert that a value must be a given type.""" if not isinstance(value, value_type): if type(value_type) is tuple: types = ', '.join(t.__name__ for t in value_type) raise ValueError('{0} must be one of ({1})'.format(name, types)) ...
python
def _assert_is_type(name, value, value_type): """Assert that a value must be a given type.""" if not isinstance(value, value_type): if type(value_type) is tuple: types = ', '.join(t.__name__ for t in value_type) raise ValueError('{0} must be one of ({1})'.format(name, types)) ...
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Assert that a value must be a given type.
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/core.py#L107-L115
wrobstory/vincent
vincent/core.py
grammar
def grammar(grammar_type=None, grammar_name=None): """Decorator to define properties that map to the ``grammar`` dict. This dict is the canonical representation of the Vega grammar within Vincent. This decorator is intended for classes that map to some pre-defined JSON structure, such as axes, data...
python
def grammar(grammar_type=None, grammar_name=None): """Decorator to define properties that map to the ``grammar`` dict. This dict is the canonical representation of the Vega grammar within Vincent. This decorator is intended for classes that map to some pre-defined JSON structure, such as axes, data...
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Decorator to define properties that map to the ``grammar`` dict. This dict is the canonical representation of the Vega grammar within Vincent. This decorator is intended for classes that map to some pre-defined JSON structure, such as axes, data, marks, scales, etc. It is assumed that this decorate...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/core.py#L179-L250
wrobstory/vincent
vincent/core.py
GrammarClass.validate
def validate(self): """Validate the contents of the object. This calls ``setattr`` for each of the class's grammar properties. It will catch ``ValueError``s raised by the grammar property's setters and re-raise them as :class:`ValidationError`. """ for key, val in self.g...
python
def validate(self): """Validate the contents of the object. This calls ``setattr`` for each of the class's grammar properties. It will catch ``ValueError``s raised by the grammar property's setters and re-raise them as :class:`ValidationError`. """ for key, val in self.g...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/core.py#L302-L313
wrobstory/vincent
vincent/core.py
GrammarClass.to_json
def to_json(self, path=None, html_out=False, html_path='vega_template.html', validate=False, pretty_print=True): """Convert object to JSON Parameters ---------- path: string, default None Path to write JSON out. If there is no path provided, J...
python
def to_json(self, path=None, html_out=False, html_path='vega_template.html', validate=False, pretty_print=True): """Convert object to JSON Parameters ---------- path: string, default None Path to write JSON out. If there is no path provided, J...
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Convert object to JSON Parameters ---------- path: string, default None Path to write JSON out. If there is no path provided, JSON will be returned as a string to the console. html_out: boolean, default False If True, vincent will output an simple HTM...
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train
https://github.com/wrobstory/vincent/blob/c5a06e50179015fbb788a7a42e4570ff4467a9e9/vincent/core.py#L315-L366
alephdata/pantomime
pantomime/__init__.py
useful_mimetype
def useful_mimetype(text): """Check to see if the given mime type is a MIME type which is useful in terms of how to treat this file. """ if text is None: return False mimetype = normalize_mimetype(text) return mimetype not in [DEFAULT, PLAIN, None]
python
def useful_mimetype(text): """Check to see if the given mime type is a MIME type which is useful in terms of how to treat this file. """ if text is None: return False mimetype = normalize_mimetype(text) return mimetype not in [DEFAULT, PLAIN, None]
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Check to see if the given mime type is a MIME type which is useful in terms of how to treat this file.
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train
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alephdata/pantomime
pantomime/__init__.py
normalize_extension
def normalize_extension(extension): """Normalise a file name extension.""" extension = decode_path(extension) if extension is None: return if extension.startswith('.'): extension = extension[1:] if '.' in extension: _, extension = os.path.splitext(extension) extension = s...
python
def normalize_extension(extension): """Normalise a file name extension.""" extension = decode_path(extension) if extension is None: return if extension.startswith('.'): extension = extension[1:] if '.' in extension: _, extension = os.path.splitext(extension) extension = s...
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Normalise a file name extension.
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train
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alphardex/looter
looter/__init__.py
fetch
def fetch(url: str, **kwargs) -> Selector: """ Send HTTP request and parse it as a DOM tree. Args: url (str): The url of the site. Returns: Selector: allows you to select parts of HTML text using CSS or XPath expressions. """ kwargs.setdefault('headers', DEFAULT_HEADERS) tr...
python
def fetch(url: str, **kwargs) -> Selector: """ Send HTTP request and parse it as a DOM tree. Args: url (str): The url of the site. Returns: Selector: allows you to select parts of HTML text using CSS or XPath expressions. """ kwargs.setdefault('headers', DEFAULT_HEADERS) tr...
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train
https://github.com/alphardex/looter/blob/47fb7e44fe39c8528c1d6be94791798660d8804e/looter/__init__.py#L60-L79
alphardex/looter
looter/__init__.py
async_fetch
async def async_fetch(url: str, **kwargs) -> Selector: """ Do the fetch in an async style. Args: url (str): The url of the site. Returns: Selector: allows you to select parts of HTML text using CSS or XPath expressions. """ kwargs.setdefault('headers', DEFAULT_HEADERS) asyn...
python
async def async_fetch(url: str, **kwargs) -> Selector: """ Do the fetch in an async style. Args: url (str): The url of the site. Returns: Selector: allows you to select parts of HTML text using CSS or XPath expressions. """ kwargs.setdefault('headers', DEFAULT_HEADERS) asyn...
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train
https://github.com/alphardex/looter/blob/47fb7e44fe39c8528c1d6be94791798660d8804e/looter/__init__.py#L82-L97
alphardex/looter
looter/__init__.py
view
def view(url: str, **kwargs) -> bool: """ View the page whether rendered properly. (ensure the <base> tag to make external links work) Args: url (str): The url of the site. """ kwargs.setdefault('headers', DEFAULT_HEADERS) html = requests.get(url, **kwargs).content if b'<base' not i...
python
def view(url: str, **kwargs) -> bool: """ View the page whether rendered properly. (ensure the <base> tag to make external links work) Args: url (str): The url of the site. """ kwargs.setdefault('headers', DEFAULT_HEADERS) html = requests.get(url, **kwargs).content if b'<base' not i...
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View the page whether rendered properly. (ensure the <base> tag to make external links work) Args: url (str): The url of the site.
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train
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alphardex/looter
looter/__init__.py
links
def links(res: requests.models.Response, search: str = None, pattern: str = None) -> list: """Get the links of the page. Args: res (requests.models.Response): The response of the page. search (str, optional): Defaults to None. Search the links you want. pattern (str,...
python
def links(res: requests.models.Response, search: str = None, pattern: str = None) -> list: """Get the links of the page. Args: res (requests.models.Response): The response of the page. search (str, optional): Defaults to None. Search the links you want. pattern (str,...
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train
https://github.com/alphardex/looter/blob/47fb7e44fe39c8528c1d6be94791798660d8804e/looter/__init__.py#L118-L136
alphardex/looter
looter/__init__.py
save_as_json
def save_as_json(total: list, name='data.json', sort_by: str = None, no_duplicate=False, order='asc'): """Save what you crawled as a json file. Args: total (list): Total of data you crawled. name (str, optional): Defaults to 'd...
python
def save_as_json(total: list, name='data.json', sort_by: str = None, no_duplicate=False, order='asc'): """Save what you crawled as a json file. Args: total (list): Total of data you crawled. name (str, optional): Defaults to 'd...
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Save what you crawled as a json file. Args: total (list): Total of data you crawled. name (str, optional): Defaults to 'data.json'. The name of the file. sort_by (str, optional): Defaults to None. Sort items by a specific key. no_duplicate (bool, optional): Defaults to False. If Tru...
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train
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alphardex/looter
looter/__init__.py
cli
def cli(): """ Commandline for looter :d """ argv = docopt(__doc__, version=VERSION) if argv['genspider']: name = f"{argv['<name>']}.py" use_async = argv['--async'] template = 'data_async.tmpl' if use_async else 'data.tmpl' package_dir = Path(__file__).parent ...
python
def cli(): """ Commandline for looter :d """ argv = docopt(__doc__, version=VERSION) if argv['genspider']: name = f"{argv['<name>']}.py" use_async = argv['--async'] template = 'data_async.tmpl' if use_async else 'data.tmpl' package_dir = Path(__file__).parent ...
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Commandline for looter :d
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train
https://github.com/alphardex/looter/blob/47fb7e44fe39c8528c1d6be94791798660d8804e/looter/__init__.py#L162-L187
gtaylor/python-colormath
colormath/color_objects.py
ColorBase.get_value_tuple
def get_value_tuple(self): """ Returns a tuple of the color's values (in order). For example, an LabColor object will return (lab_l, lab_a, lab_b), where each member of the tuple is the float value for said variable. """ retval = tuple() for val in self.VALUES: ...
python
def get_value_tuple(self): """ Returns a tuple of the color's values (in order). For example, an LabColor object will return (lab_l, lab_a, lab_b), where each member of the tuple is the float value for said variable. """ retval = tuple() for val in self.VALUES: ...
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Returns a tuple of the color's values (in order). For example, an LabColor object will return (lab_l, lab_a, lab_b), where each member of the tuple is the float value for said variable.
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https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/color_objects.py#L32-L41
gtaylor/python-colormath
colormath/color_objects.py
IlluminantMixin.set_observer
def set_observer(self, observer): """ Validates and sets the color's observer angle. .. note:: This only changes the observer angle value. It does no conversion of the color's coordinates. :param str observer: One of '2' or '10'. """ observer = str(observer)...
python
def set_observer(self, observer): """ Validates and sets the color's observer angle. .. note:: This only changes the observer angle value. It does no conversion of the color's coordinates. :param str observer: One of '2' or '10'. """ observer = str(observer)...
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Validates and sets the color's observer angle. .. note:: This only changes the observer angle value. It does no conversion of the color's coordinates. :param str observer: One of '2' or '10'.
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train
https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/color_objects.py#L71-L83
gtaylor/python-colormath
colormath/color_objects.py
IlluminantMixin.set_illuminant
def set_illuminant(self, illuminant): """ Validates and sets the color's illuminant. .. note:: This only changes the illuminant. It does no conversion of the color's coordinates. For this, you'll want to refer to :py:meth:`XYZColor.apply_adaptation <colormath.color_objec...
python
def set_illuminant(self, illuminant): """ Validates and sets the color's illuminant. .. note:: This only changes the illuminant. It does no conversion of the color's coordinates. For this, you'll want to refer to :py:meth:`XYZColor.apply_adaptation <colormath.color_objec...
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Validates and sets the color's illuminant. .. note:: This only changes the illuminant. It does no conversion of the color's coordinates. For this, you'll want to refer to :py:meth:`XYZColor.apply_adaptation <colormath.color_objects.XYZColor.apply_adaptation>`. .. tip:: Call thi...
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train
https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/color_objects.py#L86-L101
gtaylor/python-colormath
colormath/color_objects.py
IlluminantMixin.get_illuminant_xyz
def get_illuminant_xyz(self, observer=None, illuminant=None): """ :param str observer: Get the XYZ values for another observer angle. Must be either '2' or '10'. :param str illuminant: Get the XYZ values for another illuminant. :returns: the color's illuminant's XYZ values. ...
python
def get_illuminant_xyz(self, observer=None, illuminant=None): """ :param str observer: Get the XYZ values for another observer angle. Must be either '2' or '10'. :param str illuminant: Get the XYZ values for another illuminant. :returns: the color's illuminant's XYZ values. ...
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:param str observer: Get the XYZ values for another observer angle. Must be either '2' or '10'. :param str illuminant: Get the XYZ values for another illuminant. :returns: the color's illuminant's XYZ values.
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train
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gtaylor/python-colormath
colormath/color_objects.py
SpectralColor.get_numpy_array
def get_numpy_array(self): """ Dump this color into NumPy array. """ # This holds the obect's spectral data, and will be passed to # numpy.array() to create a numpy array (matrix) for the matrix math # that will be done during the conversion to XYZ. values = [] ...
python
def get_numpy_array(self): """ Dump this color into NumPy array. """ # This holds the obect's spectral data, and will be passed to # numpy.array() to create a numpy array (matrix) for the matrix math # that will be done during the conversion to XYZ. values = [] ...
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train
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gtaylor/python-colormath
colormath/color_objects.py
SpectralColor.calc_density
def calc_density(self, density_standard=None): """ Calculates the density of the SpectralColor. By default, Status T density is used, and the correct density distribution (Red, Green, or Blue) is chosen by comparing the Red, Green, and Blue components of the spectral sample (the ...
python
def calc_density(self, density_standard=None): """ Calculates the density of the SpectralColor. By default, Status T density is used, and the correct density distribution (Red, Green, or Blue) is chosen by comparing the Red, Green, and Blue components of the spectral sample (the ...
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Calculates the density of the SpectralColor. By default, Status T density is used, and the correct density distribution (Red, Green, or Blue) is chosen by comparing the Red, Green, and Blue components of the spectral sample (the values being red in via "filters").
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https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/color_objects.py#L264-L274
gtaylor/python-colormath
colormath/color_objects.py
XYZColor.apply_adaptation
def apply_adaptation(self, target_illuminant, adaptation='bradford'): """ This applies an adaptation matrix to change the XYZ color's illuminant. You'll most likely only need this during RGB conversions. """ logger.debug(" \- Original illuminant: %s", self.illuminant) lo...
python
def apply_adaptation(self, target_illuminant, adaptation='bradford'): """ This applies an adaptation matrix to change the XYZ color's illuminant. You'll most likely only need this during RGB conversions. """ logger.debug(" \- Original illuminant: %s", self.illuminant) lo...
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gtaylor/python-colormath
colormath/color_objects.py
BaseRGBColor._clamp_rgb_coordinate
def _clamp_rgb_coordinate(self, coord): """ Clamps an RGB coordinate, taking into account whether or not the color is upscaled or not. :param float coord: The coordinate value. :rtype: float :returns: The clamped value. """ if not self.is_upscaled: ...
python
def _clamp_rgb_coordinate(self, coord): """ Clamps an RGB coordinate, taking into account whether or not the color is upscaled or not. :param float coord: The coordinate value. :rtype: float :returns: The clamped value. """ if not self.is_upscaled: ...
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Clamps an RGB coordinate, taking into account whether or not the color is upscaled or not. :param float coord: The coordinate value. :rtype: float :returns: The clamped value.
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gtaylor/python-colormath
colormath/color_objects.py
BaseRGBColor.get_upscaled_value_tuple
def get_upscaled_value_tuple(self): """ Scales an RGB color object from decimal 0.0-1.0 to int 0-255. """ # Scale up to 0-255 values. rgb_r = int(math.floor(0.5 + self.rgb_r * 255)) rgb_g = int(math.floor(0.5 + self.rgb_g * 255)) rgb_b = int(math.floor(0.5 + self....
python
def get_upscaled_value_tuple(self): """ Scales an RGB color object from decimal 0.0-1.0 to int 0-255. """ # Scale up to 0-255 values. rgb_r = int(math.floor(0.5 + self.rgb_r * 255)) rgb_g = int(math.floor(0.5 + self.rgb_g * 255)) rgb_b = int(math.floor(0.5 + self....
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train
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gtaylor/python-colormath
colormath/color_objects.py
BaseRGBColor.get_rgb_hex
def get_rgb_hex(self): """ Converts the RGB value to a hex value in the form of: #RRGGBB :rtype: str """ rgb_r, rgb_g, rgb_b = self.get_upscaled_value_tuple() return '#%02x%02x%02x' % (rgb_r, rgb_g, rgb_b)
python
def get_rgb_hex(self): """ Converts the RGB value to a hex value in the form of: #RRGGBB :rtype: str """ rgb_r, rgb_g, rgb_b = self.get_upscaled_value_tuple() return '#%02x%02x%02x' % (rgb_r, rgb_g, rgb_b)
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Converts the RGB value to a hex value in the form of: #RRGGBB :rtype: str
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gtaylor/python-colormath
colormath/color_objects.py
BaseRGBColor.new_from_rgb_hex
def new_from_rgb_hex(cls, hex_str): """ Converts an RGB hex string like #RRGGBB and assigns the values to this sRGBColor object. :rtype: sRGBColor """ colorstring = hex_str.strip() if colorstring[0] == '#': colorstring = colorstring[1:] if len...
python
def new_from_rgb_hex(cls, hex_str): """ Converts an RGB hex string like #RRGGBB and assigns the values to this sRGBColor object. :rtype: sRGBColor """ colorstring = hex_str.strip() if colorstring[0] == '#': colorstring = colorstring[1:] if len...
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Converts an RGB hex string like #RRGGBB and assigns the values to this sRGBColor object. :rtype: sRGBColor
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train
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gtaylor/python-colormath
colormath/color_diff_matrix.py
delta_e_cie1976
def delta_e_cie1976(lab_color_vector, lab_color_matrix): """ Calculates the Delta E (CIE1976) between `lab_color_vector` and all colors in `lab_color_matrix`. """ return numpy.sqrt( numpy.sum(numpy.power(lab_color_vector - lab_color_matrix, 2), axis=1))
python
def delta_e_cie1976(lab_color_vector, lab_color_matrix): """ Calculates the Delta E (CIE1976) between `lab_color_vector` and all colors in `lab_color_matrix`. """ return numpy.sqrt( numpy.sum(numpy.power(lab_color_vector - lab_color_matrix, 2), axis=1))
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Calculates the Delta E (CIE1976) between `lab_color_vector` and all colors in `lab_color_matrix`.
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gtaylor/python-colormath
colormath/color_diff_matrix.py
delta_e_cie1994
def delta_e_cie1994(lab_color_vector, lab_color_matrix, K_L=1, K_C=1, K_H=1, K_1=0.045, K_2=0.015): """ Calculates the Delta E (CIE1994) of two colors. K_l: 0.045 graphic arts 0.048 textiles K_2: 0.015 graphic arts 0.014 textiles K_L: 1 default ...
python
def delta_e_cie1994(lab_color_vector, lab_color_matrix, K_L=1, K_C=1, K_H=1, K_1=0.045, K_2=0.015): """ Calculates the Delta E (CIE1994) of two colors. K_l: 0.045 graphic arts 0.048 textiles K_2: 0.015 graphic arts 0.014 textiles K_L: 1 default ...
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Calculates the Delta E (CIE1994) of two colors. K_l: 0.045 graphic arts 0.048 textiles K_2: 0.015 graphic arts 0.014 textiles K_L: 1 default 2 textiles
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train
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gtaylor/python-colormath
colormath/color_diff_matrix.py
delta_e_cmc
def delta_e_cmc(lab_color_vector, lab_color_matrix, pl=2, pc=1): """ Calculates the Delta E (CIE1994) of two colors. CMC values Acceptability: pl=2, pc=1 Perceptability: pl=1, pc=1 """ L, a, b = lab_color_vector C_1 = numpy.sqrt(numpy.sum(numpy.power(lab_color_vector[1:], 2))) ...
python
def delta_e_cmc(lab_color_vector, lab_color_matrix, pl=2, pc=1): """ Calculates the Delta E (CIE1994) of two colors. CMC values Acceptability: pl=2, pc=1 Perceptability: pl=1, pc=1 """ L, a, b = lab_color_vector C_1 = numpy.sqrt(numpy.sum(numpy.power(lab_color_vector[1:], 2))) ...
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train
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gtaylor/python-colormath
colormath/color_diff_matrix.py
delta_e_cie2000
def delta_e_cie2000(lab_color_vector, lab_color_matrix, Kl=1, Kc=1, Kh=1): """ Calculates the Delta E (CIE2000) of two colors. """ L, a, b = lab_color_vector avg_Lp = (L + lab_color_matrix[:, 0]) / 2.0 C1 = numpy.sqrt(numpy.sum(numpy.power(lab_color_vector[1:], 2))) C2 = numpy.sqrt(numpy.s...
python
def delta_e_cie2000(lab_color_vector, lab_color_matrix, Kl=1, Kc=1, Kh=1): """ Calculates the Delta E (CIE2000) of two colors. """ L, a, b = lab_color_vector avg_Lp = (L + lab_color_matrix[:, 0]) / 2.0 C1 = numpy.sqrt(numpy.sum(numpy.power(lab_color_vector[1:], 2))) C2 = numpy.sqrt(numpy.s...
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gtaylor/python-colormath
colormath/density.py
ansi_density
def ansi_density(color, density_standard): """ Calculates density for the given SpectralColor using the spectral weighting function provided. For example, ANSI_STATUS_T_RED. These may be found in :py:mod:`colormath.density_standards`. :param SpectralColor color: The SpectralColor object to calculat...
python
def ansi_density(color, density_standard): """ Calculates density for the given SpectralColor using the spectral weighting function provided. For example, ANSI_STATUS_T_RED. These may be found in :py:mod:`colormath.density_standards`. :param SpectralColor color: The SpectralColor object to calculat...
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Calculates density for the given SpectralColor using the spectral weighting function provided. For example, ANSI_STATUS_T_RED. These may be found in :py:mod:`colormath.density_standards`. :param SpectralColor color: The SpectralColor object to calculate density for. :param numpy.ndarray density...
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gtaylor/python-colormath
colormath/density.py
auto_density
def auto_density(color): """ Given a SpectralColor, automatically choose the correct ANSI T filter. Returns a tuple with a string representation of the filter the calculated density. :param SpectralColor color: The SpectralColor object to calculate density for. :rtype: float :return...
python
def auto_density(color): """ Given a SpectralColor, automatically choose the correct ANSI T filter. Returns a tuple with a string representation of the filter the calculated density. :param SpectralColor color: The SpectralColor object to calculate density for. :rtype: float :return...
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train
https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/density.py#L38-L67
gtaylor/python-colormath
colormath/color_diff.py
_get_lab_color1_vector
def _get_lab_color1_vector(color): """ Converts an LabColor into a NumPy vector. :param LabColor color: :rtype: numpy.ndarray """ if not color.__class__.__name__ == 'LabColor': raise ValueError( "Delta E functions can only be used with two LabColor objects.") return nump...
python
def _get_lab_color1_vector(color): """ Converts an LabColor into a NumPy vector. :param LabColor color: :rtype: numpy.ndarray """ if not color.__class__.__name__ == 'LabColor': raise ValueError( "Delta E functions can only be used with two LabColor objects.") return nump...
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Converts an LabColor into a NumPy vector. :param LabColor color: :rtype: numpy.ndarray
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train
https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/color_diff.py#L12-L22
gtaylor/python-colormath
colormath/color_diff.py
delta_e_cie1976
def delta_e_cie1976(color1, color2): """ Calculates the Delta E (CIE1976) of two colors. """ color1_vector = _get_lab_color1_vector(color1) color2_matrix = _get_lab_color2_matrix(color2) delta_e = color_diff_matrix.delta_e_cie1976(color1_vector, color2_matrix)[0] return numpy.asscalar(delta_...
python
def delta_e_cie1976(color1, color2): """ Calculates the Delta E (CIE1976) of two colors. """ color1_vector = _get_lab_color1_vector(color1) color2_matrix = _get_lab_color2_matrix(color2) delta_e = color_diff_matrix.delta_e_cie1976(color1_vector, color2_matrix)[0] return numpy.asscalar(delta_...
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train
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gtaylor/python-colormath
colormath/color_diff.py
delta_e_cie1994
def delta_e_cie1994(color1, color2, K_L=1, K_C=1, K_H=1, K_1=0.045, K_2=0.015): """ Calculates the Delta E (CIE1994) of two colors. K_l: 0.045 graphic arts 0.048 textiles K_2: 0.015 graphic arts 0.014 textiles K_L: 1 default 2 textiles """ color1_vector =...
python
def delta_e_cie1994(color1, color2, K_L=1, K_C=1, K_H=1, K_1=0.045, K_2=0.015): """ Calculates the Delta E (CIE1994) of two colors. K_l: 0.045 graphic arts 0.048 textiles K_2: 0.015 graphic arts 0.014 textiles K_L: 1 default 2 textiles """ color1_vector =...
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Calculates the Delta E (CIE1994) of two colors. K_l: 0.045 graphic arts 0.048 textiles K_2: 0.015 graphic arts 0.014 textiles K_L: 1 default 2 textiles
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train
https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/color_diff.py#L50-L68
gtaylor/python-colormath
colormath/color_diff.py
delta_e_cie2000
def delta_e_cie2000(color1, color2, Kl=1, Kc=1, Kh=1): """ Calculates the Delta E (CIE2000) of two colors. """ color1_vector = _get_lab_color1_vector(color1) color2_matrix = _get_lab_color2_matrix(color2) delta_e = color_diff_matrix.delta_e_cie2000( color1_vector, color2_matrix, Kl=Kl, K...
python
def delta_e_cie2000(color1, color2, Kl=1, Kc=1, Kh=1): """ Calculates the Delta E (CIE2000) of two colors. """ color1_vector = _get_lab_color1_vector(color1) color2_matrix = _get_lab_color2_matrix(color2) delta_e = color_diff_matrix.delta_e_cie2000( color1_vector, color2_matrix, Kl=Kl, K...
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Calculates the Delta E (CIE2000) of two colors.
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train
https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/color_diff.py#L72-L80
gtaylor/python-colormath
colormath/color_diff.py
delta_e_cmc
def delta_e_cmc(color1, color2, pl=2, pc=1): """ Calculates the Delta E (CMC) of two colors. CMC values Acceptability: pl=2, pc=1 Perceptability: pl=1, pc=1 """ color1_vector = _get_lab_color1_vector(color1) color2_matrix = _get_lab_color2_matrix(color2) delta_e = color_diff_mat...
python
def delta_e_cmc(color1, color2, pl=2, pc=1): """ Calculates the Delta E (CMC) of two colors. CMC values Acceptability: pl=2, pc=1 Perceptability: pl=1, pc=1 """ color1_vector = _get_lab_color1_vector(color1) color2_matrix = _get_lab_color2_matrix(color2) delta_e = color_diff_mat...
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Calculates the Delta E (CMC) of two colors. CMC values Acceptability: pl=2, pc=1 Perceptability: pl=1, pc=1
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train
https://github.com/gtaylor/python-colormath/blob/1d168613718d2d7d31ec4230524e987ef66823c7/colormath/color_diff.py#L84-L96