default_graphics_settings.toml

[general_options]
generate_model_drawing = true
show_model_drawing = true
generate_fd_plot = true
show_fd_plot = true
show_custom_plot = true
generate_animation = true
show_animation = true

# herein below the desired outputs when scanning parameters
generate_parametric_fd_plots = true
show_parametric_fd_plots = true
show_parametric_custom_plots = true
generate_all_model_drawings = false
show_all_model_drawings = false
generate_all_fd_plots = false
generate_all_animations = false

[plot_options]
show_driven_path = false
driven_path_only = false
loading_sequence = "cycle"
# "loading", "cycle", "loading_unloading"
show_snapping_arrows = true
all_snapping_arrows = false
# if true (when show_snapping_arrow is true), it will show snapping arrow for every possible transition, regardless of the loading sequence,
# else only the snapping arrows encountered during the prescribed loading sequence

snapping_arrow_style = '-'
drive_mode = "none"
# "none" (nothing driven), "force" (force-driven), "displacement" (displacement-driven)

plot_style = 'points' # points, line
# will use points instead of line anyway in case the color mode is different from 'none' or 'stability'

color_mode = "stability"
# is *not* used when showing multiple equilibrium paths after a parameter scan
# "none" (default color), "stability" (by stability), "min_eigval_fd" (by lowest force-driven eig. val.),
# "min_eigval_ud" (by lowest displacement-driven eig. val.), "nb_neg_eigval_fd" (by nb force-driven eig. vals < 0),
# "nb_neg_eigval_ud (by nb displacement-driven eig. val < 0)
show_stability_legend = true
# only has an effect if "color_mode" = "stability"
show_driven_path_legend = true
# only has an effect if "drive_mode" is "force" or "displacement" and "drive_path_only" is false

figure_width = 4
figure_height = 4
axis_box_aspect = 0.75  # aspect ratio of the box defined by the axes' spines
enforce_xlim = false
enforce_ylim = false
xmin = 0.0
ymin = 0.0
xmax = 1.0
ymax = 1.0
transparent = false
dpi = 300

# herein below, colormaps. Must be named colormaps from matplotlib
# (visit https =//matplotlib.org/stable/users/explain/colors/colormaps.html for more info)
range_parameter_scan_colormap = "viridis"
discrete_parameter_scan_colormap = "tab10"
lowest_eigval_colormap = "PuOr"
# used when "color_mode" "min_eigval_fd" or "min_eigval_ud" is used, diverging colormap recommended
nb_negative_eigval_colormap = "plasma"
# used when "color_mode" "nb_neg_eigval_fd" or "nb_neg_eigval_ud" is used
energy_colormap = "viridis"
# used when "color_mode" "energy" is used

max_nb_legend_entries_for_discrete_parameter = 4

default_plot_name = "fd_curve"
default_xlabel = "displacement"
default_ylabel = "force"
default_color = "#a0a0a0"
default_opacity = 1.0
default_marker = "o"
default_markersize = 2.5
default_linewidth = 2.0


# herein below colors to indicate the stability of an equilibrium point,
# only used when "color_mode" "stability" is used.
color_for_stable_points = "#86a7fc"
color_for_stabilizable_points = "#ffdd95"
color_for_unstable_points = "#dd9843"

# herein below colors to indicate the stability of equilibrium branches
# only used when 'plot_style=line'
style_for_stable_branches = '-'
style_for_stabilizable_branches = '--'
style_for_unstable_branches = ':'

# herein below labels used to indicate the stability of equilibrium branches
label_for_stable_points = 'stable'
label_for_stabilizable_points = 'stabilizable'
label_for_unstable_points = 'unstable'

driven_path_color = "#444444"
size_for_driven_path = 0.4
# scaling of the default markersize for driven path
snapping_arrow_color_loading = "#ff0000"
snapping_arrow_color_unloading = "#0000ff"
# only has an effect if "show_snapping_arrow" is true
snapping_arrow_opacity = 1.0
# only has an effect if "show_snapping_arrow" is true
snapping_arrow_width = 1.75
# only has an effect if "show_snapping_arrow" is true
snapping_arrow_headwidth = 0.2
# only has an effect if "show_snapping_arrow" is true
snapping_arrow_headlength = 0.4
# only has an effect if "show_snapping_arrow" is true


# herein below scaling of the markersize to indicate stability,
# has no effect in case the "color_mode" "min_eigval_fd", "min_eigval_ud", "nb_neg_eigval_fd" or "nb_neg_eigval_ud is used
size_for_stable_points = 1
size_for_stabilizable_points = 0.66
size_for_unstable_points = 0.33

stylesheet = "default"
# one of the style names of matplotlib (see https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html)
# or the path/url to a stylesheet, such as "my_style_sheets/my_favorite_style.mplstyle" (see https://matplotlib.org/stable/users/explain/customizing.html#defining-your-own-style)
spine_offset = 10
show_top_spine = false
show_bottom_spine = true
show_left_spine = true
show_right_spine = false
hide_ticklabels = false

[animation_options]
fps = 25
nb_frames = 50
dpi = 200
drive_mode = "none"
# "none" (nothing driven), "force" (force-driven), "displacement" (displacement-driven)
cycling = false
default_animation_name = "animation"
save_as_mp4 = false  # can only save as mp4 if ffmpeg is installed and is 'in the PATH'
save_as_transparent_mov = false # can only save as mov if ffmpeg is installed and is 'in the PATH'
save_as_gif = true
save_frames_as_png = false
side_plot = true
stylesheet = "default"
# one of the style names of matplotlib (see https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html)
# or the path/url to a stylesheet, such as "my_style_sheets/my_favorite_style.mplstyle" (see https://matplotlib.org/stable/users/explain/customizing.html#defining-your-own-style)
animated_equilibrium_point_color = "#ff0000"
animated_equilibrium_point_size= 10
animation_width = 8
animation_height = 4.5

[assembly_appearance]
drawing_fig_width = 3
drawing_fig_height = 3
enforce_xlim = false
enforce_ylim = false
xmin = 0.0
ymin = 0.0
xmax = 1.0
ymax = 1.0
drawing_dpi = 300
show_axes = false
stylesheet = "default"  # only used when drawing the model, not used for the animation
transparent = false  # used when saving the model drawing or saving animation as PNG frames
coloring_mode = "generalized_force"
# "none", "energy", "generalized_force", "generalized_stiffness"
color_elements = true
color_forces = false
colormap="coolwarm"
# Colormap to color the elements and the forces. Must be a named colormap from matplotlib
# (visit https =//matplotlib.org/stable/users/explain/colors/colormaps.html for more info)
show_state_of_hysterons = true # it true, label with a state number will be shown at the center of the element
hysteron_state_label_size = 10
hysteron_state_bg_color = "#e0e0e0"
hysteron_state_txt_color = "#101010"
show_forces = true
hide_low_preloading_forces = false  # low forces are defined by parameter 'low_preloading_force_threshold'
low_preloading_force_threshold = 0.0  # preloading load with magnitude below this value will not be depicted if 'hide_low_preloading_forces' is true.
force_vector_scaling = 1.0
spring_style = "simple"  # "simple", "elegant", "line"
spring_nb_coils = 4  # has no effect if "spring_style" = "line"
spring_aspect = 0.4  # is only used when "spring_style" = "elegant"
spring_linewidth = 2
spring_width_scaling = 1.0
spring_default_opacity = 1.0
spring_default_color = "#cecece"
angular_spring_style = "line"  # "elegant", "line"
angular_spring_nb_coils = 6  # has no effect if "angular_spring_style" = "line"
angular_spring_radii_ratio = 6  # ratio between the angular spring radius and the coil radius. Is only used when "angular_spring_style" = "elegant"
angular_spring_aspect = 0.4  # is only used when "angular_spring_style" = "elegant"
angular_spring_linewidth = 2
angular_spring_radius_scaling = 1.0
angular_spring_default_opacity = 1.0
angular_spring_default_color = "#cecece"
area_spring_default_opacity = 0.5
area_spring_default_color = "#cecece"
path_spring_linewidth = 2
path_spring_default_opacity = 1.0
path_spring_default_color = "#cecece"
path_spring_dot_color = "#ffffff"
path_spring_dot_opacity = 1.0
distance_spring_linestyle = '-'  # any linestyle from matplotlib, in particular 'none' if you dont want to show the distance line
distance_spring_linewidth = 1.0
distance_spring_default_opacity = 1.0
distance_spring_default_color = '#cecece'
distance_spring_line_linestyle = '--'  # any linestyle from matplotlib, in particular 'none' if you dont want to show the line from which the distance is measured
distance_spring_line_linewidth = 1.0
distance_spring_line_default_color = '#CECECE'
paint_distance_spring_line_with_default_color = false
# if true, the line from which the distance is measured will be depicted with its default color, if false its color will match the one from the distance line
node_style = "elegant"  # "minimalist", "simple", "elegant"
node_size = 5.
node_color = "#101010"
node_edgecolor = "#101010"
node_edgewidth = 1.0
show_node_numbers = false
node_nb_color = "#cecece"
node_nb_shift_x = 5
node_nb_shift_y = 5
node_nb_fontsize = 10
force_vector_style = 'basic'
preload_force_opacity = 0.65
preload_force_default_color = '#cecece'
force_default_color = '#000000'
force_vector_length_scaling = 1.0
force_vector_connection = "tail"
force_vector_linewidth = 1.0  # only has an effect if 'force_vector_style' is 'basic'