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def _swatches(module_names, module_contents, template=None):
"""
Parameters
----------
template : str or dict or plotly.graph_objects.layout.Template instance
The figure template name or definition.
Returns
-------
fig : graph_objects.Figure containing the displayed image
A `Figure` object. This figure demonstrates the color scales and
sequences in this module, as stacked bar charts.
"""
import plotly.graph_objs as go
from plotly.express._core import apply_default_cascade
args = dict(template=template)
apply_default_cascade(args)
sequences = [
(k, v)
for k, v in module_contents.items()
if not (k.startswith("_") or k.startswith("swatches") or k.endswith("_r"))
]
return go.Figure(
data=[
go.Bar(
orientation="h",
y=[name] * len(colors),
x=[1] * len(colors),
customdata=list(range(len(colors))),
marker=dict(color=colors),
hovertemplate="%{y}[%{customdata}] = %{marker.color}<extra></extra>",
)
for name, colors in reversed(sequences)
],
layout=dict(
title="plotly.colors." + module_names.split(".")[-1],
barmode="stack",
barnorm="fraction",
bargap=0.5,
showlegend=False,
xaxis=dict(range=[-0.02, 1.02], showticklabels=False, showgrid=False),
height=max(600, 40 * len(sequences)),
template=args["template"],
margin=dict(b=10),
),
)
def _swatches_continuous(module_names, module_contents, template=None):
"""
Parameters
----------
template : str or dict or plotly.graph_objects.layout.Template instance
The figure template name or definition.
Returns
-------
fig : graph_objects.Figure containing the displayed image
A `Figure` object. This figure demonstrates the color scales and
sequences in this module, as stacked bar charts.
"""
import plotly.graph_objs as go
from plotly.express._core import apply_default_cascade
args = dict(template=template)
apply_default_cascade(args)
sequences = [
(k, v)
for k, v in module_contents.items()
if not (k.startswith("_") or k.startswith("swatches") or k.endswith("_r"))
]
n = 100
return go.Figure(
data=[
go.Bar(
orientation="h",
y=[name] * n,
x=[1] * n,
customdata=[(x + 1) / n for x in range(n)],
marker=dict(color=list(range(n)), colorscale=name, line_width=0),
hovertemplate="%{customdata}",
name=name,
)
for name, colors in reversed(sequences)
],
layout=dict(
title="plotly.colors." + module_names.split(".")[-1],
barmode="stack",
barnorm="fraction",
bargap=0.3,
showlegend=False,
xaxis=dict(range=[-0.02, 1.02], showticklabels=False, showgrid=False),
height=max(600, 40 * len(sequences)),
width=500,
template=args["template"],
margin=dict(b=10),
),
)
def _swatches_cyclical(module_names, module_contents, template=None):
"""
Parameters
----------
template : str or dict or plotly.graph_objects.layout.Template instance
The figure template name or definition.
Returns
-------
fig : graph_objects.Figure containing the displayed image
A `Figure` object. This figure demonstrates the color scales and
sequences in this module, as polar bar charts.
"""
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from plotly.express._core import apply_default_cascade
args = dict(template=template)
apply_default_cascade(args)
rows = 2
cols = 4
scales = [
(k, v)
for k, v in module_contents.items()
if not (k.startswith("_") or k.startswith("swatches") or k.endswith("_r"))
]
names = [name for name, colors in scales]
fig = make_subplots(
rows=rows,
cols=cols,
subplot_titles=names,
specs=[[{"type": "polar"}] * cols] * rows,
)
for i, (name, scale) in enumerate(scales):
fig.add_trace(
go.Barpolar(
r=[1] * int(360 / 5),
theta=list(range(0, 360, 5)),
marker_color=list(range(0, 360, 5)),
marker_cmin=0,
marker_cmax=360,
marker_colorscale=name,
name=name,
),
row=int(i / cols) + 1,
col=i % cols + 1,
)
fig.update_traces(width=5.2, marker_line_width=0, base=0.5, showlegend=False)
fig.update_polars(angularaxis_visible=False, radialaxis_visible=False)
fig.update_layout(
title="plotly.colors." + module_names.split(".")[-1], template=args["template"]
)
return fig
|
