wg-backend-django/dell-env/lib/python3.11/site-packages/plotly/io/_templates.py

496 lines
15 KiB
Python
Raw Normal View History

2023-10-30 03:40:43 -04:00
import textwrap
import pkgutil
import copy
import os
import json
from functools import reduce
try:
from math import gcd
except ImportError:
# Python 2
from fractions import gcd
# Create Lazy sentinal object to indicate that a template should be loaded
# on-demand from package_data
Lazy = object()
# Templates configuration class
# -----------------------------
class TemplatesConfig(object):
"""
Singleton object containing the current figure templates (aka themes)
"""
def __init__(self):
# Initialize properties dict
self._templates = {}
# Initialize built-in templates
default_templates = [
"ggplot2",
"seaborn",
"simple_white",
"plotly",
"plotly_white",
"plotly_dark",
"presentation",
"xgridoff",
"ygridoff",
"gridon",
"none",
]
for template_name in default_templates:
self._templates[template_name] = Lazy
self._validator = None
self._default = None
# ### Magic methods ###
# Make this act as a dict of templates
def __len__(self):
return len(self._templates)
def __contains__(self, item):
return item in self._templates
def __iter__(self):
return iter(self._templates)
def __getitem__(self, item):
if isinstance(item, str):
template_names = item.split("+")
else:
template_names = [item]
templates = []
for template_name in template_names:
template = self._templates[template_name]
if template is Lazy:
from plotly.graph_objs.layout import Template
if template_name == "none":
# "none" is a special built-in named template that applied no defaults
template = Template(data_scatter=[{}])
self._templates[template_name] = template
else:
# Load template from package data
path = os.path.join(
"package_data", "templates", template_name + ".json"
)
template_str = pkgutil.get_data("plotly", path).decode("utf-8")
template_dict = json.loads(template_str)
template = Template(template_dict, _validate=False)
self._templates[template_name] = template
templates.append(self._templates[template_name])
return self.merge_templates(*templates)
def __setitem__(self, key, value):
self._templates[key] = self._validate(value)
def __delitem__(self, key):
# Remove template
del self._templates[key]
# Check if we need to remove it as the default
if self._default == key:
self._default = None
def _validate(self, value):
if not self._validator:
from plotly.validators.layout import TemplateValidator
self._validator = TemplateValidator()
return self._validator.validate_coerce(value)
def keys(self):
return self._templates.keys()
def items(self):
return self._templates.items()
def update(self, d={}, **kwargs):
"""
Update one or more templates from a dict or from input keyword
arguments.
Parameters
----------
d: dict
Dictionary from template names to new template values.
kwargs
Named argument value pairs where the name is a template name
and the value is a new template value.
"""
for k, v in dict(d, **kwargs).items():
self[k] = v
# ### Properties ###
@property
def default(self):
"""
The name of the default template, or None if no there is no default
If not None, the default template is automatically applied to all
figures during figure construction if no explicit template is
specified.
The names of available templates may be retrieved with:
>>> import plotly.io as pio
>>> list(pio.templates)
Returns
-------
str
"""
return self._default
@default.setter
def default(self, value):
# Validate value
# Could be a Template object, the key of a registered template,
# Or a string containing the names of multiple templates joined on
# '+' characters
self._validate(value)
self._default = value
def __repr__(self):
return """\
Templates configuration
-----------------------
Default template: {default}
Available templates:
{available}
""".format(
default=repr(self.default), available=self._available_templates_str()
)
def _available_templates_str(self):
"""
Return nicely wrapped string representation of all
available template names
"""
available = "\n".join(
textwrap.wrap(
repr(list(self)),
width=79 - 8,
initial_indent=" " * 8,
subsequent_indent=" " * 9,
)
)
return available
def merge_templates(self, *args):
"""
Merge a collection of templates into a single combined template.
Templates are process from left to right so if multiple templates
specify the same propery, the right-most template will take
precedence.
Parameters
----------
args: list of Template
Zero or more template objects (or dicts with compatible properties)
Returns
-------
template:
A combined template object
Examples
--------
>>> pio.templates.merge_templates(
... go.layout.Template(layout={'font': {'size': 20}}),
... go.layout.Template(data={'scatter': [{'mode': 'markers'}]}),
... go.layout.Template(layout={'font': {'family': 'Courier'}}))
layout.Template({
'data': {'scatter': [{'mode': 'markers', 'type': 'scatter'}]},
'layout': {'font': {'family': 'Courier', 'size': 20}}
})
"""
if args:
return reduce(self._merge_2_templates, args)
else:
from plotly.graph_objs.layout import Template
return Template()
def _merge_2_templates(self, template1, template2):
"""
Helper function for merge_templates that merges exactly two templates
Parameters
----------
template1: Template
template2: Template
Returns
-------
Template:
merged template
"""
# Validate/copy input templates
result = self._validate(template1)
other = self._validate(template2)
# Cycle traces
for trace_type in result.data:
result_traces = result.data[trace_type]
other_traces = other.data[trace_type]
if result_traces and other_traces:
lcm = (
len(result_traces)
* len(other_traces)
// gcd(len(result_traces), len(other_traces))
)
# Cycle result traces
result.data[trace_type] = result_traces * (lcm // len(result_traces))
# Cycle other traces
other.data[trace_type] = other_traces * (lcm // len(other_traces))
# Perform update
result.update(other)
return result
# Make config a singleton object
# ------------------------------
templates = TemplatesConfig()
del TemplatesConfig
# Template utilities
# ------------------
def walk_push_to_template(fig_obj, template_obj, skip):
"""
Move style properties from fig_obj to template_obj.
Parameters
----------
fig_obj: plotly.basedatatypes.BasePlotlyType
template_obj: plotly.basedatatypes.BasePlotlyType
skip: set of str
Set of names of properties to skip
"""
from _plotly_utils.basevalidators import (
CompoundValidator,
CompoundArrayValidator,
is_array,
)
for prop in list(fig_obj._props):
if prop == "template" or prop in skip:
# Avoid infinite recursion
continue
fig_val = fig_obj[prop]
template_val = template_obj[prop]
validator = fig_obj._get_validator(prop)
if isinstance(validator, CompoundValidator):
walk_push_to_template(fig_val, template_val, skip)
if not fig_val._props:
# Check if we can remove prop itself
fig_obj[prop] = None
elif isinstance(validator, CompoundArrayValidator) and fig_val:
template_elements = list(template_val)
template_element_names = [el.name for el in template_elements]
template_propdefaults = template_obj[prop[:-1] + "defaults"]
for fig_el in fig_val:
element_name = fig_el.name
if element_name:
# No properties are skipped inside a named array element
skip = set()
if fig_el.name in template_element_names:
item_index = template_element_names.index(fig_el.name)
template_el = template_elements[item_index]
walk_push_to_template(fig_el, template_el, skip)
else:
template_el = fig_el.__class__()
walk_push_to_template(fig_el, template_el, skip)
template_elements.append(template_el)
template_element_names.append(fig_el.name)
# Restore element name
# since it was pushed to template above
fig_el.name = element_name
else:
walk_push_to_template(fig_el, template_propdefaults, skip)
template_obj[prop] = template_elements
elif not validator.array_ok or not is_array(fig_val):
# Move property value from figure to template
template_obj[prop] = fig_val
try:
fig_obj[prop] = None
except ValueError:
# Property cannot be set to None, move on.
pass
def to_templated(fig, skip=("title", "text")):
"""
Return a copy of a figure where all styling properties have been moved
into the figure's template. The template property of the resulting figure
may then be used to set the default styling of other figures.
Parameters
----------
fig
Figure object or dict representing a figure
skip
A collection of names of properties to skip when moving properties to
the template. Defaults to ('title', 'text') so that the text
of figure titles, axis titles, and annotations does not become part of
the template
Examples
--------
Imports
>>> import plotly.graph_objs as go
>>> import plotly.io as pio
Construct a figure with large courier text
>>> fig = go.Figure(layout={'title': 'Figure Title',
... 'font': {'size': 20, 'family': 'Courier'},
... 'template':"none"})
>>> fig # doctest: +NORMALIZE_WHITESPACE
Figure({
'data': [],
'layout': {'font': {'family': 'Courier', 'size': 20},
'template': '...', 'title': {'text': 'Figure Title'}}
})
Convert to a figure with a template. Note how the 'font' properties have
been moved into the template property.
>>> templated_fig = pio.to_templated(fig)
>>> templated_fig.layout.template
layout.Template({
'layout': {'font': {'family': 'Courier', 'size': 20}}
})
>>> templated_fig
Figure({
'data': [], 'layout': {'template': '...', 'title': {'text': 'Figure Title'}}
})
Next create a new figure with this template
>>> fig2 = go.Figure(layout={
... 'title': 'Figure 2 Title',
... 'template': templated_fig.layout.template})
>>> fig2.layout.template
layout.Template({
'layout': {'font': {'family': 'Courier', 'size': 20}}
})
The default font in fig2 will now be size 20 Courier.
Next, register as a named template...
>>> pio.templates['large_courier'] = templated_fig.layout.template
and specify this template by name when constructing a figure.
>>> go.Figure(layout={
... 'title': 'Figure 3 Title',
... 'template': 'large_courier'}) # doctest: +ELLIPSIS
Figure(...)
Finally, set this as the default template to be applied to all new figures
>>> pio.templates.default = 'large_courier'
>>> fig = go.Figure(layout={'title': 'Figure 4 Title'})
>>> fig.layout.template
layout.Template({
'layout': {'font': {'family': 'Courier', 'size': 20}}
})
Returns
-------
go.Figure
"""
# process fig
from plotly.basedatatypes import BaseFigure
from plotly.graph_objs import Figure
if not isinstance(fig, BaseFigure):
fig = Figure(fig)
# Process skip
if not skip:
skip = set()
else:
skip = set(skip)
# Always skip uids
skip.add("uid")
# Initialize templated figure with deep copy of input figure
templated_fig = copy.deepcopy(fig)
# Handle layout
walk_push_to_template(
templated_fig.layout, templated_fig.layout.template.layout, skip=skip
)
# Handle traces
trace_type_indexes = {}
for trace in list(templated_fig.data):
template_index = trace_type_indexes.get(trace.type, 0)
# Extend template traces if necessary
template_traces = list(templated_fig.layout.template.data[trace.type])
while len(template_traces) <= template_index:
# Append empty trace
template_traces.append(trace.__class__())
# Get corresponding template trace
template_trace = template_traces[template_index]
# Perform push properties to template
walk_push_to_template(trace, template_trace, skip=skip)
# Update template traces in templated_fig
templated_fig.layout.template.data[trace.type] = template_traces
# Update trace_type_indexes
trace_type_indexes[trace.type] = template_index + 1
# Remove useless trace arrays
any_non_empty = False
for trace_type in templated_fig.layout.template.data:
traces = templated_fig.layout.template.data[trace_type]
is_empty = [trace.to_plotly_json() == {"type": trace_type} for trace in traces]
if all(is_empty):
templated_fig.layout.template.data[trace_type] = None
else:
any_non_empty = True
# Check if we can remove the data altogether key
if not any_non_empty:
templated_fig.layout.template.data = None
return templated_fig