496 lines
15 KiB
Python
496 lines
15 KiB
Python
import textwrap
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import pkgutil
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import copy
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import os
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import json
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from functools import reduce
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try:
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from math import gcd
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except ImportError:
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# Python 2
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from fractions import gcd
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# Create Lazy sentinal object to indicate that a template should be loaded
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# on-demand from package_data
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Lazy = object()
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# Templates configuration class
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# -----------------------------
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class TemplatesConfig(object):
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"""
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Singleton object containing the current figure templates (aka themes)
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"""
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def __init__(self):
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# Initialize properties dict
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self._templates = {}
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# Initialize built-in templates
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default_templates = [
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"ggplot2",
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"seaborn",
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"simple_white",
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"plotly",
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"plotly_white",
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"plotly_dark",
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"presentation",
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"xgridoff",
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"ygridoff",
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"gridon",
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"none",
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]
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for template_name in default_templates:
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self._templates[template_name] = Lazy
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self._validator = None
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self._default = None
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# ### Magic methods ###
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# Make this act as a dict of templates
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def __len__(self):
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return len(self._templates)
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def __contains__(self, item):
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return item in self._templates
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def __iter__(self):
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return iter(self._templates)
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def __getitem__(self, item):
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if isinstance(item, str):
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template_names = item.split("+")
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else:
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template_names = [item]
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templates = []
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for template_name in template_names:
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template = self._templates[template_name]
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if template is Lazy:
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from plotly.graph_objs.layout import Template
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if template_name == "none":
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# "none" is a special built-in named template that applied no defaults
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template = Template(data_scatter=[{}])
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self._templates[template_name] = template
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else:
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# Load template from package data
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path = os.path.join(
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"package_data", "templates", template_name + ".json"
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)
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template_str = pkgutil.get_data("plotly", path).decode("utf-8")
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template_dict = json.loads(template_str)
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template = Template(template_dict, _validate=False)
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self._templates[template_name] = template
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templates.append(self._templates[template_name])
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return self.merge_templates(*templates)
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def __setitem__(self, key, value):
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self._templates[key] = self._validate(value)
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def __delitem__(self, key):
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# Remove template
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del self._templates[key]
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# Check if we need to remove it as the default
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if self._default == key:
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self._default = None
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def _validate(self, value):
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if not self._validator:
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from plotly.validators.layout import TemplateValidator
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self._validator = TemplateValidator()
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return self._validator.validate_coerce(value)
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def keys(self):
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return self._templates.keys()
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def items(self):
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return self._templates.items()
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def update(self, d={}, **kwargs):
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"""
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Update one or more templates from a dict or from input keyword
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arguments.
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Parameters
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----------
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d: dict
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Dictionary from template names to new template values.
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kwargs
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Named argument value pairs where the name is a template name
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and the value is a new template value.
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"""
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for k, v in dict(d, **kwargs).items():
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self[k] = v
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# ### Properties ###
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@property
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def default(self):
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"""
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The name of the default template, or None if no there is no default
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If not None, the default template is automatically applied to all
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figures during figure construction if no explicit template is
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specified.
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The names of available templates may be retrieved with:
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>>> import plotly.io as pio
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>>> list(pio.templates)
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Returns
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-------
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str
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"""
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return self._default
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@default.setter
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def default(self, value):
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# Validate value
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# Could be a Template object, the key of a registered template,
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# Or a string containing the names of multiple templates joined on
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# '+' characters
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self._validate(value)
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self._default = value
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def __repr__(self):
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return """\
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Templates configuration
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-----------------------
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Default template: {default}
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Available templates:
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{available}
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""".format(
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default=repr(self.default), available=self._available_templates_str()
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)
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def _available_templates_str(self):
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"""
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Return nicely wrapped string representation of all
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available template names
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"""
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available = "\n".join(
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textwrap.wrap(
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repr(list(self)),
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width=79 - 8,
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initial_indent=" " * 8,
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subsequent_indent=" " * 9,
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)
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)
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return available
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def merge_templates(self, *args):
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"""
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Merge a collection of templates into a single combined template.
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Templates are process from left to right so if multiple templates
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specify the same propery, the right-most template will take
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precedence.
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Parameters
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----------
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args: list of Template
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Zero or more template objects (or dicts with compatible properties)
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Returns
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-------
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template:
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A combined template object
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Examples
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--------
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>>> pio.templates.merge_templates(
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... go.layout.Template(layout={'font': {'size': 20}}),
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... go.layout.Template(data={'scatter': [{'mode': 'markers'}]}),
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... go.layout.Template(layout={'font': {'family': 'Courier'}}))
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layout.Template({
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'data': {'scatter': [{'mode': 'markers', 'type': 'scatter'}]},
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'layout': {'font': {'family': 'Courier', 'size': 20}}
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})
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"""
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if args:
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return reduce(self._merge_2_templates, args)
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else:
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from plotly.graph_objs.layout import Template
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return Template()
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def _merge_2_templates(self, template1, template2):
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"""
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Helper function for merge_templates that merges exactly two templates
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Parameters
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----------
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template1: Template
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template2: Template
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Returns
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-------
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Template:
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merged template
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"""
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# Validate/copy input templates
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result = self._validate(template1)
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other = self._validate(template2)
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# Cycle traces
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for trace_type in result.data:
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result_traces = result.data[trace_type]
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other_traces = other.data[trace_type]
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if result_traces and other_traces:
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lcm = (
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len(result_traces)
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* len(other_traces)
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// gcd(len(result_traces), len(other_traces))
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)
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# Cycle result traces
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result.data[trace_type] = result_traces * (lcm // len(result_traces))
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# Cycle other traces
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other.data[trace_type] = other_traces * (lcm // len(other_traces))
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# Perform update
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result.update(other)
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return result
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# Make config a singleton object
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# ------------------------------
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templates = TemplatesConfig()
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del TemplatesConfig
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# Template utilities
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# ------------------
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def walk_push_to_template(fig_obj, template_obj, skip):
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"""
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Move style properties from fig_obj to template_obj.
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Parameters
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----------
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fig_obj: plotly.basedatatypes.BasePlotlyType
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template_obj: plotly.basedatatypes.BasePlotlyType
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skip: set of str
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Set of names of properties to skip
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"""
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from _plotly_utils.basevalidators import (
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CompoundValidator,
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CompoundArrayValidator,
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is_array,
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)
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for prop in list(fig_obj._props):
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if prop == "template" or prop in skip:
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# Avoid infinite recursion
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continue
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fig_val = fig_obj[prop]
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template_val = template_obj[prop]
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validator = fig_obj._get_validator(prop)
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if isinstance(validator, CompoundValidator):
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walk_push_to_template(fig_val, template_val, skip)
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if not fig_val._props:
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# Check if we can remove prop itself
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fig_obj[prop] = None
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elif isinstance(validator, CompoundArrayValidator) and fig_val:
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template_elements = list(template_val)
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template_element_names = [el.name for el in template_elements]
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template_propdefaults = template_obj[prop[:-1] + "defaults"]
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for fig_el in fig_val:
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element_name = fig_el.name
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if element_name:
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# No properties are skipped inside a named array element
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skip = set()
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if fig_el.name in template_element_names:
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item_index = template_element_names.index(fig_el.name)
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template_el = template_elements[item_index]
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walk_push_to_template(fig_el, template_el, skip)
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else:
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template_el = fig_el.__class__()
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walk_push_to_template(fig_el, template_el, skip)
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template_elements.append(template_el)
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template_element_names.append(fig_el.name)
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# Restore element name
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# since it was pushed to template above
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fig_el.name = element_name
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else:
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walk_push_to_template(fig_el, template_propdefaults, skip)
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template_obj[prop] = template_elements
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elif not validator.array_ok or not is_array(fig_val):
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# Move property value from figure to template
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template_obj[prop] = fig_val
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try:
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fig_obj[prop] = None
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except ValueError:
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# Property cannot be set to None, move on.
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pass
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def to_templated(fig, skip=("title", "text")):
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"""
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Return a copy of a figure where all styling properties have been moved
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into the figure's template. The template property of the resulting figure
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may then be used to set the default styling of other figures.
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Parameters
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----------
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fig
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Figure object or dict representing a figure
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skip
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A collection of names of properties to skip when moving properties to
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the template. Defaults to ('title', 'text') so that the text
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of figure titles, axis titles, and annotations does not become part of
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the template
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Examples
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--------
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Imports
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>>> import plotly.graph_objs as go
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>>> import plotly.io as pio
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Construct a figure with large courier text
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>>> fig = go.Figure(layout={'title': 'Figure Title',
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... 'font': {'size': 20, 'family': 'Courier'},
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... 'template':"none"})
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>>> fig # doctest: +NORMALIZE_WHITESPACE
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Figure({
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'data': [],
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'layout': {'font': {'family': 'Courier', 'size': 20},
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'template': '...', 'title': {'text': 'Figure Title'}}
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})
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Convert to a figure with a template. Note how the 'font' properties have
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been moved into the template property.
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>>> templated_fig = pio.to_templated(fig)
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>>> templated_fig.layout.template
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layout.Template({
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'layout': {'font': {'family': 'Courier', 'size': 20}}
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})
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>>> templated_fig
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Figure({
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'data': [], 'layout': {'template': '...', 'title': {'text': 'Figure Title'}}
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})
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Next create a new figure with this template
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>>> fig2 = go.Figure(layout={
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... 'title': 'Figure 2 Title',
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... 'template': templated_fig.layout.template})
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>>> fig2.layout.template
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layout.Template({
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'layout': {'font': {'family': 'Courier', 'size': 20}}
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})
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The default font in fig2 will now be size 20 Courier.
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Next, register as a named template...
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>>> pio.templates['large_courier'] = templated_fig.layout.template
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and specify this template by name when constructing a figure.
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>>> go.Figure(layout={
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... 'title': 'Figure 3 Title',
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... 'template': 'large_courier'}) # doctest: +ELLIPSIS
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Figure(...)
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Finally, set this as the default template to be applied to all new figures
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>>> pio.templates.default = 'large_courier'
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>>> fig = go.Figure(layout={'title': 'Figure 4 Title'})
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>>> fig.layout.template
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layout.Template({
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'layout': {'font': {'family': 'Courier', 'size': 20}}
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})
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Returns
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-------
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go.Figure
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"""
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# process fig
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from plotly.basedatatypes import BaseFigure
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from plotly.graph_objs import Figure
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if not isinstance(fig, BaseFigure):
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fig = Figure(fig)
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# Process skip
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if not skip:
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skip = set()
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else:
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skip = set(skip)
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# Always skip uids
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skip.add("uid")
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# Initialize templated figure with deep copy of input figure
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templated_fig = copy.deepcopy(fig)
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# Handle layout
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walk_push_to_template(
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templated_fig.layout, templated_fig.layout.template.layout, skip=skip
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)
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# Handle traces
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trace_type_indexes = {}
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for trace in list(templated_fig.data):
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template_index = trace_type_indexes.get(trace.type, 0)
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# Extend template traces if necessary
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template_traces = list(templated_fig.layout.template.data[trace.type])
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while len(template_traces) <= template_index:
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# Append empty trace
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template_traces.append(trace.__class__())
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# Get corresponding template trace
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template_trace = template_traces[template_index]
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# Perform push properties to template
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walk_push_to_template(trace, template_trace, skip=skip)
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# Update template traces in templated_fig
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templated_fig.layout.template.data[trace.type] = template_traces
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# Update trace_type_indexes
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trace_type_indexes[trace.type] = template_index + 1
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# Remove useless trace arrays
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any_non_empty = False
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for trace_type in templated_fig.layout.template.data:
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traces = templated_fig.layout.template.data[trace_type]
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is_empty = [trace.to_plotly_json() == {"type": trace_type} for trace in traces]
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if all(is_empty):
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templated_fig.layout.template.data[trace_type] = None
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else:
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any_non_empty = True
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# Check if we can remove the data altogether key
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if not any_non_empty:
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templated_fig.layout.template.data = None
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return templated_fig
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