"""
Separated layout
================
"""

# %%
# The :class:`ptvis.layouts.SeparatedTableLayout` class defines a layout of the
# periodic table whose *f*-block is separated from the others.

import plotly
import ptvis.layouts


elements = list(ptvis.Element)

fig = plotly.graph_objects.Figure()
ptvis.attach_plain_cells(
    fig,
    elements,
    table_layout=ptvis.layouts.SeparatedTableLayout(),
)

plotly.io.show(fig)

# %%
# Symbols for the *f*-block
# -------------------------

# %%
# Symbols for the *f*-block can be changed by the `lanthanoids_symbol` and
# `actinoids_symbol` arguments.

import plotly
import ptvis.layouts


elements = list(ptvis.Element)

fig = plotly.graph_objects.Figure()
ptvis.attach_plain_cells(
    fig,
    elements,
    table_layout=ptvis.layouts.SeparatedTableLayout(
        lanthanoids_symbol="*",
        actinoids_symbol="**",
    ),
)

plotly.io.show(fig)

# %%
# The width for the symbols can be changed by the `symbol_width` argument.

import plotly
import ptvis.layouts


elements = list(ptvis.Element)

fig = plotly.graph_objects.Figure()
ptvis.attach_plain_cells(
    fig,
    elements,
    table_layout=ptvis.layouts.SeparatedTableLayout(symbol_width=2.),
)

plotly.io.show(fig)

# %%
# Separation above the *f*-block
# ------------------------------

# %%
# A separation between the *f*-block and the others can be changed by the
# `separation` argument.

import plotly
import ptvis.layouts


elements = list(ptvis.Element)

fig = plotly.graph_objects.Figure()
ptvis.attach_plain_cells(
    fig,
    elements,
    table_layout=ptvis.layouts.SeparatedTableLayout(separation=2.),
)

plotly.io.show(fig)

# %%
# Padding around the periodic table
# ---------------------------------

# %%
# A padding around the periodic table can be changed by the `padding` argument.

import plotly
import ptvis.layouts


elements = list(ptvis.Element)

fig = plotly.graph_objects.Figure()
ptvis.attach_plain_cells(
    fig,
    elements,
    table_layout=ptvis.layouts.SeparatedTableLayout(padding=1.),
)

plotly.io.show(fig)