# ================================== LICENSE ===================================
# Wulfric - Cell, Atoms, K-path, visualization.
# Copyright (C) 2023-2025 Andrey Rybakov
#
# e-mail: anry@uv.es, web: adrybakov.com
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
# ================================ END LICENSE =================================
from random import choices
from string import ascii_lowercase as ASCII_LOWERCASE
import numpy as np
from wulfric.cell._basic_manipulation import get_reciprocal
from wulfric.cell._voronoi import get_wigner_seitz_cell, get_lattice_points
from wulfric.constants import ATOM_COLORS
from wulfric.crystal._atoms import get_atom_species
try:
import plotly.graph_objects as go # noqa: F401
from plotly.subplots import make_subplots
PLOTLY_AVAILABLE = True
except ImportError:
PLOTLY_AVAILABLE = False
# Save local scope at this moment
old_dir = set(dir())
old_dir.add("old_dir")
_LEGEND_SETTINGS = {
"top": dict(yanchor="bottom", y=1.0, xanchor="center", x=0.5),
"bottom": dict(yanchor="top", y=0.0, xanchor="center", x=0.5),
"left": dict(yanchor="middle", y=0.5, xanchor="right", x=0.0),
"right": dict(yanchor="middle", y=0.5, xanchor="left", x=1.0),
}
# Source: https://gamedev.stackexchange.com/questions/38536/given-a-rgb-color-x-how-to-find-the-most-contrasting-color-y
def _get_good_contrast(hex_color):
hex_color = hex_color[1:]
R, G, B = [int(hex_color[i : i + 2], 16) / 255 for i in (0, 2, 4)]
gamma = 2.2
L = 0.2126 * R**gamma + 0.7152 * G**gamma + 0.0722 * B**gamma
if L > 0.5**gamma:
return "#000000"
return "#FFFFFF"
[docs]
class PlotlyEngine:
r"""
Plotting engine based on |plotly|_.
Parameters
----------
fig : plotly graph object, optional
Figure to plot on. If not provided, then a new one is created as
``fig = go.Figure()``.
_sphinx_gallery_fix : bool, default False
Fixes display issues when building documentation using sphinx gallery.
Please, always ignore this argument
Attributes
----------
fig : plotly graph object
Figure to plot on.
Notes
-----
This class is a part of ``wulfric[visual]``
"""
def __init__(self, fig=None, _sphinx_gallery_fix=False, rows=1, cols=1):
if not PLOTLY_AVAILABLE:
raise ImportError(
'Plotly is not available. Please install it with "pip install plotly"'
)
if fig is None:
fig = make_subplots(
rows=rows,
cols=cols,
specs=[[{"type": "scene"} for _ in range(cols)] for _ in range(rows)],
)
self.fig = fig
self.fig.update_layout(template="none")
self._sphinx_gallery_fix = _sphinx_gallery_fix
# Fix for plotly #7143
self.x_range = {}
self.y_range = {}
self.z_range = {}
# Fix for plotly #7143
def _update_range(self, x_min, x_max, y_min, y_max, z_min, z_max, row=1, col=1):
if (row, col) not in self.x_range:
self.x_range[(row, col)] = np.array([x_min, x_max], dtype=float)
self.y_range[(row, col)] = np.array([y_min, y_max], dtype=float)
self.z_range[(row, col)] = np.array([z_min, z_max], dtype=float)
else:
self.x_range[(row, col)][0] = min(self.x_range[(row, col)][0], x_min)
self.x_range[(row, col)][1] = max(self.x_range[(row, col)][1], x_max)
self.y_range[(row, col)][0] = min(self.y_range[(row, col)][0], y_min)
self.y_range[(row, col)][1] = max(self.y_range[(row, col)][1], y_max)
self.z_range[(row, col)][0] = min(self.z_range[(row, col)][0], z_min)
self.z_range[(row, col)][1] = max(self.z_range[(row, col)][1], z_max)
# Fix for plotly #7143
def _update_fig_aspect_range(self):
for row, col in self.x_range:
xlim = 1.05 * self.x_range[(row, col)]
ylim = 1.05 * self.y_range[(row, col)]
zlim = 1.05 * self.z_range[(row, col)]
self.fig.update_scenes(
xaxis=dict(range=xlim),
yaxis=dict(range=ylim),
zaxis=dict(range=zlim),
aspectmode="manual",
aspectratio=dict(
x=abs((xlim[1] - xlim[0]) / (zlim[1] - zlim[0])),
y=abs((ylim[1] - ylim[0]) / (zlim[1] - zlim[0])),
z=1,
),
row=row,
col=col,
)
[docs]
def show(self, axes_visible=True, legend_position="top", **kwargs):
r"""
Shows the figure in the interactive mode.
Parameters
----------
axes_visible : bool, default True
Whether to show axes.
legend_position : str, default "top"
Positions of the legend, case insensitive.
**kwargs
Passed directly to the |plotly-update-layout|_.
"""
if not axes_visible:
self.fig.update_scenes(
xaxis_visible=False, yaxis_visible=False, zaxis_visible=False
)
legend_position = legend_position.lower()
if legend_position not in list(_LEGEND_SETTINGS):
raise ValueError(
f"Supported values for legend_position are {list(_LEGEND_SETTINGS)}, got {legend_position}."
)
legend = _LEGEND_SETTINGS[legend_position]
self.fig.update_layout(**kwargs, legend=legend)
# Fix for plotly #7143
self._update_fig_aspect_range()
if self._sphinx_gallery_fix:
return self.fig
self.fig.show()
[docs]
def save(
self,
output_name="wulfric-plot.html",
axes_visible=True,
legend_position="top",
kwargs_write_html=None,
**kwargs,
):
r"""
Saves the figure in the html file.
Parameters
----------
output_name : str, default "lattice_graph.html"
Name of the file to be saved. With extension.
axes_visible : bool, default True
Whether to show axes.
legend_position : str, default "top"
Positions of the legend, case insensitive.
kwargs_write_html : dict, optional
Passed directly to the |plotly-write-html|_.
**kwargs
Passed directly to the |plotly-update-layout|_.
"""
if kwargs_write_html is None:
kwargs_write_html = {}
if not axes_visible:
self.fig.update_scenes(
xaxis_visible=False, yaxis_visible=False, zaxis_visible=False
)
legend_position = legend_position.lower()
if legend_position not in list(_LEGEND_SETTINGS):
raise ValueError(
f"Supported values for legend_position are {list(_LEGEND_SETTINGS)}, got {legend_position}."
)
legend = _LEGEND_SETTINGS[legend_position]
self.fig.update_layout(**kwargs, legend=legend)
# Fix for plotly #7143
self._update_fig_aspect_range()
self.fig.write_html(output_name, **kwargs_write_html)
[docs]
def plot_points(
self,
points,
colors="#000000",
legend_label=None,
legend_group=None,
scale=1,
row=1,
col=1,
):
r"""
Plots a set of points.
Parameters
----------
points : (N, 3) |array-like|_
Coordinates of the points.
colors : str or list of str, default "#000000"
Color of the line. Any value that is supported by |plotly|_.
legend_label : str, optional
Label of the line that is displayed in the figure.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
scale : float, default 1
Scale for the size of point's markers. Use ``scale>1`` to increase the size.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
points = np.array(points).T
self.fig.add_traces(
data=dict(
type="scatter3d",
mode="markers",
legendgroup=legend_group,
name=legend_label,
showlegend=legend_label is not None,
x=points[0],
y=points[1],
z=points[2],
marker=dict(size=2 * scale, color=colors),
hoverinfo="none",
),
rows=row,
cols=col,
)
# Fix for plotly #7143
self._update_range(
x_min=points[0].min(),
x_max=points[0].max(),
y_min=points[1].min(),
y_max=points[1].max(),
z_min=points[2].min(),
z_max=points[2].max(),
row=row,
col=col,
)
[docs]
def plot_line(
self,
start_point,
end_point,
color="#000000",
legend_label=None,
legend_group=None,
row=1,
col=1,
):
r"""
Plots a single line between ``start_point`` to ``end_point``.
Parameters
----------
start_point : (3, ) |array-like|_
First end of the line.
end_point : (3, ) |array-like|_
Second point of the line.
color : str, default "#000000"
Color of the line. Any value that is supported by |plotly|_.
legend_label : str, optional
Label of the line that is displayed in the figure.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
x, y, z = np.array([start_point, end_point]).T
self.fig.add_traces(
data=dict(
type="scatter3d",
mode="lines",
legendgroup=legend_group,
name=legend_label,
showlegend=legend_label is not None,
x=x,
y=y,
z=z,
line=dict(color=color),
hoverinfo="none",
),
rows=row,
cols=col,
)
# Fix for plotly #7143
self._update_range(
x_min=x.min(),
x_max=x.max(),
y_min=y.min(),
y_max=y.max(),
z_min=z.min(),
z_max=z.max(),
row=row,
col=col,
)
[docs]
def plot_vector(
self,
start_point,
end_point,
color="#000000",
vector_label=None,
legend_label=None,
legend_group=None,
row=1,
col=1,
):
r"""
Plots a single vector pointing from ``start_point`` to ``end_point``.
Parameters
----------
start_point : (3, ) |array-like|_
Start point of the vector.
end_point : (3, ) |array-like|_
End point of the vector.
color : str, default "#000000"
Color of the vector and its label. Any value that is supported by |plotly|_.
vector_label : str, optional
Label of the vector that is displayed in the figure.
legend_label : str, optional
Label for the legend. Entry in legend only showed if
``legend_label is not None``.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
x, y, z = np.array([start_point, end_point]).T
self.fig.add_traces(
data=[
dict(
type="scatter3d",
mode="lines",
legendgroup=legend_group,
name=legend_label,
showlegend=legend_label is not None,
x=x,
y=y,
z=z,
line=dict(color=color, width=3),
hoverinfo="none",
),
dict(
type="cone",
legendgroup=legend_group,
showlegend=False,
x=[x[1]],
y=[y[1]],
z=[z[1]],
u=[0.4 * (x[1] - x[0])],
v=[0.4 * (y[1] - y[0])],
w=[0.4 * (z[1] - z[0])],
anchor="tip",
colorscale=[[0, color], [1, color]],
showscale=False,
hoverinfo="none",
),
],
rows=row,
cols=col,
)
if vector_label is not None:
self.fig.add_traces(
data=dict(
type="scatter3d",
mode="text",
legendgroup=legend_group,
showlegend=False,
x=[1.2 * (x[1] - x[0]) + x[0]],
y=[1.2 * (y[1] - y[0]) + y[0]],
z=[1.2 * (z[1] - z[0]) + z[0]],
marker=dict(size=0),
text=vector_label,
textfont=dict(size=12, color=color),
textposition="top center",
hoverinfo="none",
),
rows=row,
cols=col,
)
# Fix for plotly #7143
self._update_range(
x_min=1.2 * (x[1] - x[0]) + x[0],
x_max=1.2 * (x[1] - x[0]) + x[0],
y_min=1.2 * (y[1] - y[0]) + y[0],
y_max=1.2 * (y[1] - y[0]) + y[0],
z_min=1.2 * (z[1] - z[0]) + z[0],
z_max=1.2 * (z[1] - z[0]) + z[0],
row=row,
col=col,
)
# Fix for plotly #7143
self._update_range(
x_min=x.min(),
x_max=x.max(),
y_min=y.min(),
y_max=y.max(),
z_min=z.min(),
z_max=z.max(),
row=row,
col=col,
)
[docs]
def plot_cell(
self,
cell,
color="#000000",
plot_vectors=True,
vector_label="a",
shift=(0, 0, 0),
legend_label=None,
legend_group=None,
row=1,
col=1,
):
r"""
Plots given ``cell`` as is.
Parameters
----------
cell : (3, 3) |array-like|_
Matrix of a cell, rows are interpreted as vectors.
color : str, default "#000000"
Colour for the cell and the labels. Any value that is supported by |plotly|_.
plot_vectors : bool, default True
Whether to plot lattice vectors.
vector_label : str, default "a"
Vector's label, ignored if ``plot_vectors = False``.
shift : (3, ) |array-like|_, default (0.0, 0.0, 0.0)
Absolute coordinates of the corner of the cell, from which the three lattice
vectors are plotted.
legend_label : str, optional
Label for the legend. Entry in legend only showed if
``legend_label is not None``.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
cell = np.array(cell)
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
shift = np.array(shift)
# Plot vectors
if plot_vectors:
for i in range(3):
self.plot_vector(
start_point=shift,
end_point=shift + cell[i],
color=color,
vector_label=f"{vector_label}{i + 1}",
legend_group=legend_group,
row=row,
col=col,
)
# Plot the cell borders
for i in range(0, 3):
j = (i + 1) % 3
k = (i + 2) % 3
self.plot_line(
start_point=shift,
end_point=shift + cell[i],
color=color,
legend_label=legend_label,
legend_group=legend_group,
row=row,
col=col,
)
if legend_label is not None:
legend_label = None
self.plot_line(
start_point=shift + cell[i],
end_point=shift + cell[i] + cell[j],
color=color,
legend_group=legend_group,
row=row,
col=col,
)
self.plot_line(
start_point=shift + cell[i],
end_point=shift + cell[i] + cell[k],
color=color,
legend_group=legend_group,
row=row,
col=col,
)
self.plot_line(
start_point=shift + cell[i] + cell[j],
end_point=shift + cell[i] + cell[j] + cell[k],
color=color,
legend_group=legend_group,
row=row,
col=col,
)
[docs]
def plot_wigner_seitz_cell(
self,
cell,
plot_vectors=True,
vector_label="a",
color="#000000",
shift=(0.0, 0.0, 0.0),
legend_label=None,
legend_group=None,
row=1,
col=1,
):
r"""
Plots Wigner-Seitz cell of the lattice spawned by the given ``cell``.
Parameters
----------
cell : (3, 3) |array-like|_
Matrix of a cell, rows are interpreted as vectors.
plot_vectors : bool, default True
Whether to plot lattice vectors.
vector_label : str, default "a"
Vector's label, ignored if ``plot_vectors = False``.
color : str, default "#000000"
Colour for the cell and labels. Any value that is supported by |plotly|_.
shift : (3, ) |array-like|_, default (0.0, 0.0, 0.0)
Absolute coordinates of the center of the Wigner-Seitz cell.
legend_label : str, optional
Label for the legend. Entry in legend only showed if
``legend_label is not None``.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
cell = np.array(cell)
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
# Plot vectors
if plot_vectors:
for i in range(3):
self.plot_vector(
start_point=shift,
end_point=shift + cell[i],
color=color,
vector_label=f"{vector_label}{i + 1}",
legend_group=legend_group,
row=row,
col=col,
)
vertices, edges = get_wigner_seitz_cell(cell=cell)
for start_index, end_index in edges:
self.plot_line(
start_point=shift + vertices[start_index],
end_point=shift + vertices[end_index],
color=color,
legend_label=legend_label,
legend_group=legend_group,
row=row,
col=col,
)
if legend_label is not None:
legend_label = None
[docs]
def plot_brillouin_zone(
self,
cell,
plot_vectors=True,
vector_label="b",
color="#FF4D67",
shift=(0.0, 0.0, 0.0),
legend_label=None,
legend_group=None,
row=1,
col=1,
):
r"""
Plots Brillouin zone.
Parameters
----------
cell : (3, 3) |array-like|_
Matrix of a cell, rows are interpreted as vectors.
plot_vectors : bool, default True
Whether to plot lattice vectors.
vector_label : str, default "b"
Vector's label, ignored if ``plot_vectors = False``.
color : str, default "#FF4D67"
Colour for the Brillouin zone and labels. Any value that is supported by |plotly|_.
shift : (3, ) |array-like|_, default (0.0, 0.0, 0.0)
Absolute coordinates of the center of the Brillouin zone.
legend_label : str, optional
Label for the legend. Entry in legend only showed if
``legend_label is not None``.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
self.plot_wigner_seitz_cell(
cell=get_reciprocal(cell),
plot_vectors=plot_vectors,
vector_label=vector_label,
color=color,
shift=shift,
legend_label=legend_label,
legend_group=legend_group,
row=row,
col=col,
)
[docs]
def plot_kpath(
self,
kp,
color="#000000",
shift=(0.0, 0.0, 0.0),
legend_label=None,
legend_group=None,
row=1,
col=1,
):
r"""
Plots k-path in the reciprocal space.
Parameters
----------
kp : :py:class:`.Kpoints`
K-points and k-path.
color : str, default "#000000"
Colour for the plot. Any value that is supported by |plotly|_.
shift : (3, ) |array-like|_, default (0, 0, 0)
Absolute coordinates of the shift in reciprocal space.
legend_label : str, optional
Label for the legend. Entry in legend only showed if
``legend_label is not None``.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
shift = np.array(shift)
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
for subpath in kp.path:
xyz = []
for i in range(len(subpath)):
xyz.append(shift + kp.hs_coordinates[subpath[i]] @ kp.rcell)
xyz = np.array(xyz).T
self.fig.add_traces(
data=dict(
type="scatter3d",
mode="lines",
name=legend_label,
legendgroup=legend_group,
showlegend=legend_label is not None,
x=xyz[0],
y=xyz[1],
z=xyz[2],
line=dict(width=3, color=color),
hoverinfo="none",
),
rows=row,
cols=col,
)
if legend_label is not None:
legend_label = None
# Fix for plotly #7143
self._update_range(
x_min=xyz[0].min(),
x_max=xyz[0].max(),
y_min=xyz[1].min(),
y_max=xyz[1].max(),
z_min=xyz[2].min(),
z_max=xyz[2].max(),
row=row,
col=col,
)
[docs]
def plot_kpoints(
self,
kp,
color="#000000",
shift=(0.0, 0.0, 0.0),
legend_label=None,
legend_group=None,
scale=1,
only_from_kpath=False,
row=1,
col=1,
):
r"""
Plots high-symmetry k-points in the reciprocal space.
Parameters
----------
kp : :py:class:`.Kpoints`
K-points and k-path.
color : str, default "#000000"
Colour for the plot. Any value that is supported by |plotly|_.
shift : (3, ) |array-like|_, default (0, 0, 0)
Absolute coordinates of the shift in reciprocal space.
legend_label : str, optional
Label for the legend. Entry in legend only showed if
``legend_label is not None``.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
scale : float, default 1
Scale for the size of point's markers and text labels. Use ``scale>1`` to
increase the size.
only_from_kpath : bool, default False
Whether to plot all pre-defined points or only the ones that included into the
predefined k-path.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
shift = np.array(shift)
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
p_abs = []
p_rel = []
labels = []
path_points = []
for subpath in kp.path:
path_points += subpath
for point in kp.hs_names:
if not only_from_kpath or point in path_points:
p_abs.append(shift + kp.hs_coordinates[point] @ kp.rcell)
p_rel.append(kp.hs_coordinates[point])
labels.append(point)
p_abs = np.array(p_abs).T
self.fig.add_traces(
data=dict(
type="scatter3d",
mode="markers+text",
legendgroup=legend_group,
name=legend_label,
showlegend=legend_label is not None,
x=p_abs[0],
y=p_abs[1],
z=p_abs[2],
marker=dict(size=5 * scale, color=color),
text=labels,
textposition="top center",
textfont=dict(size=13 * scale, color=color),
hovertext=p_rel,
hoverinfo="text",
),
rows=row,
cols=col,
)
# Fix for plotly #7143
self._update_range(
x_min=p_abs[0].min(),
x_max=p_abs[0].max(),
y_min=p_abs[1].min(),
y_max=p_abs[1].max(),
z_min=p_abs[2].min(),
z_max=p_abs[2].max(),
row=row,
col=col,
)
[docs]
def plot_lattice(
self,
cell,
color="#000000",
range=(1, 1, 1),
shift=(0, 0, 0),
legend_label=None,
legend_group=None,
row=1,
col=1,
):
r"""
Plots lattice points spawned by the given ``cell``.
Parameters
----------
cell : (3, 3) |array-like|_
Matrix of a cell, rows are interpreted as vectors.
color : str, default "#000000"
Color of the points. Any value that is supported by |plotly|_.
range : (3, ) tuple of int, default (1, 1, 1)
How many lattice points to plot. All lattice points with relative coordinates
``r_1``, ``r_2``, ``r_3``, that fulfil
* ``-range[0] <= r_1 <= range[0]``
* ``-range[1] <= r_2 <= range[1]``
* ``-range[2] <= r_3 <= range[2]``
are plotted.
shift : (3, ) |array-like|_, default (0, 0, 0)
Absolute coordinates of the corner of the cell, from which the three lattice
vectors are plotted.
legend_label : str, optional
Label for the legend. Entry in legend only showed if
``legend_label is not None``.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
"""
cell = np.array(cell)
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
points = (
get_lattice_points(cell=cell, range=range, relative=False, flat=True)
+ np.array(shift)[np.newaxis, :]
)
self.plot_points(
points=points,
colors=color,
legend_label=legend_label,
legend_group=legend_group,
row=row,
col=col,
)
[docs]
def plot_atoms(
self,
cell,
atoms,
colors=None,
legend_label=None,
legend_group=None,
shift=(0, 0, 0),
scale=1,
row=1,
col=1,
):
r"""
Plots a set of atoms.
Parameters
----------
cell : (3, 3) |array-like|_
Matrix of a cell, rows are interpreted as vectors.
atoms : dict
Dictionary with N atoms. Expected keys:
* "positions" : (N, 3) |array-like|_
Positions of the atoms in the basis of lattice vectors (``cell``). In other
words - relative coordinates of atoms.
* "names" : (N, ) list of str, optional
See Notes
* "species" : (N, ) list of str, optional
See Notes
colors : str or list of str, optional
Color of the atoms. Any value that is supported by |plotly|_. If ``None``,
then color is deduced based on atoms's species.
legend_label : str, optional
Label of the line that is displayed in the figure.
legend_group : str, optional
Legend's group. If ``None``, then defaults to the random string of 10
characters.
scale : float, default 1
Scale for the size of atoms's markers and text labels. Use ``scale>1`` to
increase the size.
row : int, default 1
Row of the subplot.
col : int, default 1
Column of the subplot.
Notes
=====
``atoms["names"]`` is used to deduce atom's species if necessary via
:py:func:`wulfric.crystal.get_atom_species`.
``atoms["species"] is used to define atom's colors if ``colors is None``
"""
cell = np.array(cell)
if legend_group is None:
legend_group = "".join(choices(ASCII_LOWERCASE, k=10))
points = atoms["positions"] @ cell + np.array(shift)[np.newaxis, :]
points = points.T
if "names" in atoms:
names = atoms["names"]
else:
names = [f"X{i + 1}" for i in range(len(atoms["positions"]))]
if colors is None:
if "species" in atoms:
species = atoms["species"]
else:
species = [
get_atom_species(name=name, raise_on_fail=False) for name in names
]
colors = [ATOM_COLORS[_] for _ in species]
text_color = [_get_good_contrast(color) for color in colors]
self.fig.add_traces(
data=dict(
type="scatter3d",
mode="markers+text",
legendgroup=legend_group,
name=legend_label,
showlegend=legend_label is not None,
x=points[0],
y=points[1],
z=points[2],
text=names,
marker=dict(size=14 * scale, color=colors),
hoverinfo="none",
textfont=dict(size=10 * scale, color=text_color),
textposition="middle center",
),
rows=row,
cols=col,
)
# Fix for plotly #7143
self._update_range(
x_min=points[0].min(),
x_max=points[0].max(),
y_min=points[1].min(),
y_max=points[1].max(),
z_min=points[2].min(),
z_max=points[2].max(),
row=row,
col=col,
)
# Populate __all__ with objects defined in this file
__all__ = list(set(dir()) - old_dir)
# Remove all semi-private objects
__all__ = [i for i in __all__ if not i.startswith("_")]
del old_dir
