def plot_label(self, fig):
# only plot once!
# use ColumnDataSource updates to change the plot
# no re-plotting necessary!
# plot point load
point_load_glyph = Arrow(end=OpenHead(line_color=color_arrow,line_width=2, size=5),
x_start='xS', x_end='xE', y_start='yS', y_end='yE',
line_width='lW', line_color='lC', source=self.point_load_source)
fig.add_layout(point_load_glyph)
# plot loads that use patches
fig.patch(x='x', y='y', fill_alpha=0.5, source=self.constant_load_source)
fig.patch(x='x', y='y', fill_alpha=0.5, source=self.triangular_load_source)
fig.patches(xs='x', ys='y', color='c', fill_alpha=0.5, source=self.temperature_load_source)
# plot the labels for the corresponding load
labels = LabelSet(x='x', y='y', text='name', level='glyph', render_mode='canvas', source=self.load_labels)
fig.add_layout(labels)
# add force arrows into the patches
arrow_glyphs = Arrow(end=OpenHead(line_color=color_arrow,line_width=2, size=5),
x_start='xS', x_end='xE', y_start='yS', y_end='yE',
line_width='lW', line_color='lC', source=self.arrow_source)
fig.add_layout(arrow_glyphs)
def test_arrow(output_file_url, selenium, screenshot):
# Have to specify x/y range as labels aren't included in the plot area solver
plot = figure(height=HEIGHT, width=WIDTH, x_range=(0,10), y_range=(0,10), tools='')
arrow1 = Arrow(x_start=1, y_start=3, x_end=6, y_end=8,
line_color='green', line_alpha=0.7,
line_dash='8 4', line_width=5, end=OpenHead()
)
arrow1.end.line_width=8
arrow2 = Arrow(x_start=2, y_start=2, x_end=7, y_end=7,
start=NormalHead(), end=VeeHead()
)
arrow2.start.fill_color = 'indigo'
arrow2.end.fill_color = 'orange'
arrow2.end.size = 50
plot.add_layout(arrow1)
plot.add_layout(arrow2)
# Save the plot and start the test
save(plot)
selenium.get(output_file_url)
# Take screenshot
assert screenshot.is_valid()
def map_demand(demand, network):
demand_xy_df, agg_demand_df, agg_od_df, taz_df = prepare_demand(
network, demand)
o_trip_count_df = demand_xy_df.groupby(
['o_taz']).size().reset_index(name='o_trips')
d_trip_count_df = demand_xy_df.groupby(
['d_taz']).size().reset_index(name='d_trips')
p_map = figure(x_axis_type="mercator",
y_axis_type="mercator",
title="Origin and Destinations for Transit Trips",
width=800)
p_map.grid.visible = False
p_map.add_tile(STAMEN_TONER)
source = ColumnDataSource(
data=dict(x=list(agg_demand_df['taz-lon']),
y=list(agg_demand_df['taz-lat']),
origins=list(agg_demand_df['origins']),
destinations=list(agg_demand_df['destinations'])))
p_map.circle(x='x',
y='y',
source=source,
size="origins",
legend="origin",
fill_color="green",
line_color="green",
fill_alpha=0.15,
line_alpha=0.15)
p_map.circle(x='x',
y='y',
source=source,
size="destinations",
legend="destination",
fill_color="navy",
line_color="blue",
line_width=4,
fill_alpha=0.01,
line_alpha=0.2)
for index, row in agg_od_df.iterrows():
x1 = row['o-lon']
x2 = row['d-lon']
y1 = row['o-lat']
y2 = row['d-lat']
p_map.line([x1, x2], [y1, y2], line_width=row['trips'], line_alpha=0.2)
p_map.add_layout(
Arrow(end=OpenHead(size=row['trips']),
line_color="navy",
line_alpha=0.2,
x_start=x1,
y_start=y1,
x_end=x2,
y_end=y2))
return p_map
def complex_notations_plot(*args):
zs = np.array(args)
m = max(np.max(np.real(np.abs(zs))), np.max(np.imag(np.abs(zs)))) + 1
fig1 = figure(title="Complex Plane (Rectangular)",
plot_height=400,
plot_width=400,
x_range=[-m, m],
y_range=[-m, m],
toolbar_location=None)
bokeh_central_axis(fig1, axis='both')
bokeh_major_ticks(fig1)
bokeh_hide_border(fig1)
fig2 = figure(title="Complex Plane (Polar)",
plot_height=400,
plot_width=400,
x_range=[-m, m],
y_range=[-m, m],
toolbar_location=None)
bokeh_central_axis(fig2, axis='both')
bokeh_no_ticks(fig2)
bokeh_hide_border(fig2)
bokeh_hide_grid(fig2)
for z in zs:
c = 'green'
z1_arrow = Arrow(x_start=0,
y_start=0,
x_end=np.real(z),
y_end=np.imag(z),
end=OpenHead(size=9, line_color=c),
line_color=c)
z2_arrow = Arrow(x_start=0,
y_start=0,
x_end=np.real(z),
y_end=np.imag(z),
end=OpenHead(size=9, line_color=c),
line_color=c)
fig1.add_layout(z1_arrow)
fig2.add_layout(z2_arrow)
show(row(fig1, fig2))
def getWindCircle(circle_radius, dirList):
radial_fig = figure(title="Wind Direction",
plot_width=500,
plot_height=500,
x_range=(-40, 40),
y_range=(-40, 40))
radial_fig.circle(0,
0,
radius=circle_radius,
fill_color='#F4F6F6',
line_color='black')
# add the smaller circles
x_cir_ang, y_cir_ang = getAngularPoints(
np.array(np.zeros(len(dirList), )) + circle_radius, dirList)
radial_fig.circle(x=x_cir_ang, y=y_cir_ang, size=4, fill_color='black')
# add wind annotations
disp_wind = np.array([0, 60, 120, 180, 240, 300])
x_cir_label_ang, y_cir_label_ang = getAngularPoints(
np.array(np.zeros(len(disp_wind), )) + circle_radius + 1, disp_wind)
cir_label_source = ColumnDataSource(
data=dict(x=x_cir_label_ang, y=y_cir_label_ang, text=disp_wind))
circle_labels = LabelSet(x='x',
y='y',
text='text',
level='glyph',
x_offset=0,
y_offset=0,
render_mode='canvas',
text_font_size='10pt',
source=cir_label_source)
circle_title = Label(x=-6,
y=-1,
text='Wind Direction',
render_mode='canvas',
text_font_size='10pt',
text_font='helvetica',
text_font_style='bold')
radial_fig.add_layout(circle_labels)
true_north = Label(x=-0.5,
y=8,
text='N',
render_mode='canvas',
text_font_size='10pt',
text_font='helvetica',
text_font_style='bold')
radial_fig.add_layout(
Arrow(end=OpenHead(line_color="navy", line_width=2, size=10),
x_start=0,
y_start=-7.5,
x_end=0,
y_end=7.5,
line_color='navy',
line_width=2))
radial_fig.add_layout(true_north)
radial_fig.add_layout(circle_title)
radial_fig.axis.visible = False
return radial_fig
def addArrows():
global arrows
edge_dispare=15
leftArrows=[Arrow(end=OpenHead(line_color="red", line_width=1,size=4),
x_start=-60, x_end=-30, y_start=-edge_dispare, y_end=-edge_dispare),Arrow(end=OpenHead(line_color="red", line_width=1,size=4),
x_start=-40, x_end=-40,y_start=-edge_dispare, y_end=-2*edge_dispare)]
topArrows=[Arrow(end=OpenHead(line_color="red", line_width=1,size=4),
x_start=-edge_dispare, x_end=-edge_dispare,y_start=60, y_end=30),Arrow(end=OpenHead(line_color="red", line_width=1,size=4),
x_start=-edge_dispare, x_end=-2*edge_dispare,y_start=40, y_end=40)]
rightArrows=[Arrow(end=OpenHead(line_color="red", line_width=1,size=4),
x_start=60, x_end=30,y_start=edge_dispare, y_end=edge_dispare),Arrow(end=OpenHead(line_color="red", line_width=1,size=4),
x_start=40, x_end=40,y_start=edge_dispare, y_end=2*edge_dispare)]
bottomArrows=[Arrow(end=OpenHead(line_color="red", line_width=1,size=4),
x_start=edge_dispare, x_end=edge_dispare,y_start=-60, y_end=-30),Arrow(end=OpenHead(line_color="red", line_width=1,size=4),
x_start=edge_dispare, x_end=2*edge_dispare,y_start=-40, y_end=-40)]
arrows={"leftArrows":leftArrows,"topArrows":topArrows,"rightArrows":rightArrows,"bottomArrows":bottomArrows}
for key in arrows.keys():
plot.add_layout(arrows[key][0]) # szczalka prosto
plot.add_layout(arrows[key][1]) # szczalka w prawo
def __init__(self):
# save original shape of car in a shape (to make displacement easy)
self.carshape = SD_Shape(
[-3, 0, 0, -0.05, -0.5, -1, -2, -2, -3],
[0.25, 0.25, 0.7, 0.75, 0.75, 1.25, 1.25, 0.75, 0.75])
# create column data sources for the car and its acceleration
self.car = ColumnDataSource(
data=dict(x=self.carshape.x, y=self.carshape.y))
self.wheels = ColumnDataSource(data=dict(
x=[-2.25, -0.75], y=[0.25, 0.25], w=[0.5, 0.5], h=[0.5, 0.5]))
self.arrow = ColumnDataSource(data=dict(xS=[], yS=[], xE=[], yE=[]))
self.v_label = ColumnDataSource(data=dict(x=[], y=[], S=[]))
# create the figure
self.fig = figure(tools="",
x_range=(-4, 31),
y_range=(0, 4),
height=100)
# remove graph lines
self.fig.yaxis.visible = False
self.fig.grid.visible = False
self.fig.toolbar.logo = None
self.fig.outline_line_color = None
# draw the house
self.fig.line([30.0, 30.0, 29.5, 30.5], [0, 3.0, 3.0, 4.0],
line_color="black",
line_width=4)
# add the car chassis to the image
self.fig.patch(x='x', y='y', color="#0065BD", source=self.car)
# add the car wheels to the image
self.fig.ellipse(x='x',
y='y',
width='w',
height='h',
source=self.wheels,
color="#0065BD")
# create and add the arrow representing the velocity to the diagram
arrow_glyph = Arrow(end=OpenHead(line_color="#003359",
line_width=2,
size=10),
x_start='xS',
y_start='yS',
x_end='xE',
y_end='yE',
source=self.arrow,
line_color="#003359",
line_width=2)
self.fig.add_layout(arrow_glyph)
# create the label for the velocity and add it to the diagram
v_glyph = LabelSet(x='x',
y='y',
text='S',
text_color='#003359',
level='glyph',
source=self.v_label)
self.fig.add_layout(v_glyph)
def bokeh_scatter_plot_xy_words(df_words,
title='',
xlabel='',
ylabel='',
line_data=False,
filename=None,
default_color='blue',
plot_width=700,
plot_height=600):
plot = bp.figure(plot_width=plot_width,
plot_height=plot_height,
title=title,
tools=TOOLS,
toolbar_location="above"
) #, x_axis_type=None, y_axis_type=None, min_border=1)
color = 'color' if 'color' in df_words.columns else default_color
plot.scatter(x='x', y='y', size=8, source=df_words, alpha=0.5, color=color)
plot.xaxis[0].axis_label = xlabel
plot.yaxis[0].axis_label = ylabel
source = ColumnDataSource(df_words)
labels = LabelSet(x='x',
y='y',
text='words',
level='glyph',
text_font_size="9pt",
x_offset=5,
y_offset=5,
source=source,
render_mode='canvas')
hover = plot.select(dict(type=HoverTool))
hover.tooltips = {"word": "@words"}
if line_data is True:
end_arrow = OpenHead(line_color="firebrick", line_width=1, size=10)
for i in range(1, len(df_words.index), 2):
x_start, y_start = df_words.iloc[i - 1]['x'], df_words.iloc[i -
1]['y']
x_end, y_end = df_words.iloc[i]['x'], df_words.iloc[i]['y']
plot.add_layout(
Arrow(end=end_arrow,
x_start=x_start,
y_start=y_start,
x_end=x_end,
y_end=y_end))
plot.add_layout(labels)
return plot
def plot_stream_arrow(plot,
line_color,
stream_arrow_temp,
temp_label_font_size,
x_start,
x_end,
y_start,
y_end,
stream_name=None):
"""Plot a stream arrow for the heat exchanger network diagram.
Args:
plot: bokeh.plotting.plotting.figure instance.
line_color: color of arrow (defaults to white).
stream_arrow_temp: Tempreature of the stream to be plotted.
temp_label_font_size: font-size of the temperature label to be added.
x_start: x-axis coordinate of arrow base.
x_end: x-axis coordinate of arrow head.
y_start: y-axis coordinate of arrow base.
y_end: y-axis coordinate of arrow head.
stream_name: Name of the stream to add as a label to arrow (defaults to None).
Returns:
modified bokeh.plotting.plotting.figure instance with stream arrow added.
Raises:
None
"""
plot.add_layout(
Arrow(line_color=line_color,
end=OpenHead(line_color=line_color, line_width=2, size=10),
x_start=x_start,
y_start=y_start,
x_end=x_end,
y_end=y_end))
temp_end_label = Label(x=x_end,
y=y_end,
x_offset=-20,
y_offset=8,
text_font_size=temp_label_font_size,
text=str(stream_arrow_temp))
plot.add_layout(temp_end_label)
if stream_name:
stream_name_label = Label(x=x_end,
y=y_end,
x_offset=-10,
y_offset=-12,
text_font_size=temp_label_font_size,
text=stream_name)
plot.add_layout(stream_name_label)
return plot
def bokeh_scatter_plot_xy_words2(df_words,
title='',
xlabel='',
ylabel='',
line_data=False):
plot = bp.figure(plot_width=700,
plot_height=600,
title=title,
tools="pan,wheel_zoom,box_zoom,reset,hover,previewsave",
toolbar_location="above"
) #, x_axis_type=None, y_axis_type=None, min_border=1)
# plotting. the corresponding word appears when you hover on the data point.
plot.scatter(x='x', y='y', size=8, source=df_words, alpha=0.5)
plot.xaxis[0].axis_label = xlabel
plot.yaxis[0].axis_label = ylabel
source = ColumnDataSource(df_words)
labels = LabelSet(x='x',
y='y',
text='words',
level='glyph',
text_font_size="9pt",
x_offset=5,
y_offset=5,
source=source,
render_mode='canvas')
hover = plot.select(dict(type=HoverTool))
hover.tooltips = {"word": "@words"}
# df.transform(lambda x: list(zip(x, df[2])))
if line_data is True:
end_arrow = OpenHead(line_color="firebrick", line_width=1, size=10)
for i in range(1, len(df_words.index), 2):
x_start, y_start = df_words.iloc[i - 1]['x'], df_words.iloc[i -
1]['y']
x_end, y_end = df_words.iloc[i]['x'], df_words.iloc[i]['y']
plot.add_layout(
Arrow(end=end_arrow,
x_start=x_start,
y_start=y_start,
x_end=x_end,
y_end=y_end))
plot.add_layout(labels)
show(plot, notebook_handle=True)
def test_whisker(output_file_url, selenium, screenshot):
x_range = Range1d(0, 10)
y_range = Range1d(0, 10)
# Have to specify x/y range as labels aren't included in the plot area solver
plot = Plot(plot_height=HEIGHT, plot_width=WIDTH,
x_range=x_range, y_range=y_range, toolbar_location=None)
source = ColumnDataSource(data=dict(
x1 = [1,3,5,7,9],
lower1 = [1,2,1,2,1],
upper1 = [2,3,2,3,2],
x2 = [200, 250, 350, 450, 550],
lower2 = [400, 300, 400, 300, 400],
upper2 = [500, 400, 500, 400, 500],
))
whisker1 = Whisker(base='x1', lower='lower1', upper='upper1',
line_width=3, line_color='red', line_dash='dashed',
source=source)
whisker2 = Whisker(base='x2', lower='lower2', upper='upper2', upper_head=OpenHead(),
base_units='screen', lower_units='screen', upper_units='screen',
dimension='width', line_width=3, line_color='green',
source=source)
plot.add_layout(whisker1)
plot.add_layout(whisker2)
# Save the plot and start the test
save(plot)
selenium.get(output_file_url)
assert has_no_console_errors(selenium)
# Take screenshot
screenshot.assert_is_valid()
source=H_dist_source)
H_dist_label = LatexLabelSet(x='xL', y='yL', text='text', source=H_dist_source)
D_dist = Arrow(end=TeeHead(line_color="#808080", line_width=1, size=10),
start=TeeHead(line_color="#808080", line_width=1, size=10),
x_start='xS',
y_start='yS',
x_end='xE',
y_end='yE',
line_width=1,
line_color="#808080",
source=D_dist_source)
D_dist_label = LatexLabelSet(x='xL', y='yL', text='text', source=D_dist_source)
T1_arrow_glyph = Arrow(end=OpenHead(line_color="#333333",
line_width=4,
size=10),
x_start='xS',
y_start='yS',
x_end='xE',
y_end='yE',
line_width=4,
source=T1_source,
line_color="#333333")
T2_arrow_glyph = Arrow(end=OpenHead(line_color="#333333",
line_width=4,
size=10),
x_start='xS',
y_start='yS',
x_end='xE',
def _create_arrows(fig_handle, plot_width):
x0 = plot_width * 0.55
all_arrows = []
for i in range(ATM_MAX_LAYERS + 1):
layer_arrows = []
for j in range(ATM_MAX_LAYERS + 1):
if i == j:
head = NormalHead(fill_color=IR_COLOR_HOT)
head2 = NormalHead(fill_color=IR_COLOR_HOT)
l_alpha = 1.0
else:
l_alpha = 0.8
head = OpenHead(line_color=IR_COLOR_HOT,
line_alpha=l_alpha)
head2 = OpenHead(line_color=IR_COLOR_HOT,
line_alpha=l_alpha)
data_src = ColumnDataSource(data=dict(
x_start=[x0], x_end=[x0], y_start=[0], y_end=[1]))
data_src2 = ColumnDataSource(data=dict(
x_start=[x0], x_end=[x0], y_start=[0], y_end=[1]))
up_arrow = Arrow(end=head,
x_start='x_start',
x_end='x_end',
y_start='y_start',
y_end='y_end',
line_color=IR_COLOR_HOT,
line_alpha=l_alpha,
source=data_src)
down_arrow = Arrow(end=head2,
x_start='x_start',
x_end='x_end',
y_start='y_start',
y_end='y_end',
line_color=IR_COLOR_HOT,
line_alpha=l_alpha,
source=data_src2)
up_arrow.visible = False
down_arrow.visible = False
if j < i:
fig_handle.add_layout(up_arrow)
layer_arrows.append((up_arrow, ))
elif j == i:
fig_handle.add_layout(up_arrow)
if i == 0:
layer_arrows.append((up_arrow, ))
else:
fig_handle.add_layout(down_arrow)
layer_arrows.append((up_arrow, down_arrow))
else:
if i != 0:
fig_handle.add_layout(down_arrow)
layer_arrows.append((down_arrow, ))
all_arrows.append(layer_arrows)
return all_arrows
from bokeh.plotting import figure, output_file, show
from bokeh.models import Arrow, OpenHead, NormalHead, VeeHead
output_file("arrow.html", title="arrow.py example")
p = figure(plot_width=600,
plot_height=600,
x_range=(-0.1, 1.1),
y_range=(-0.1, 0.8))
p.circle(x=[0, 1, 0.5],
y=[0, 0, 0.7],
radius=0.1,
color=["navy", "yellow", "red"],
fill_alpha=0.1)
p.add_layout(Arrow(end=OpenHead(), x_start=0, y_start=0, x_end=1, y_end=0))
p.add_layout(
Arrow(end=NormalHead(), x_start=1, y_start=0, x_end=0.5, y_end=0.7))
p.add_layout(Arrow(end=VeeHead(), x_start=0.5, y_start=0.7, x_end=0, y_end=0))
show(p)
def create_arrows_velocityDiagram( diagram, colors, boatSpeed ):
# Create arrows for the boat
boatArrows_sources = list()
boatArrows_intities = list()
boatColors = ['#000000']+colors
for i in range(0,6):
boatArrows_sources.append(ColumnDataSource(data=dict(xs=[5],ys=[0],xe=[5],ye=[0])))
boatArrows_intities.append(
Arrow(
end=OpenHead(
line_color=boatColors[i],
line_width=3,
size=5
),
x_start=['xs'][0],
y_start=['ys'][0],
x_end=['xe'][0],
y_end=['ye'][0],
line_color=boatColors[i],
source=boatArrows_sources[i]
)
)
diagram.add_layout( boatArrows_intities[i] )
boatArrows_sources[0].data = dict(
xs=[5],ys=[0],xe=[5],ye=[boatSpeed]
)
# Create arrows for the swimmers
swimmerArrows_sources = list()
swimmerArrows_intities = list()
for i in range(0,5):
xPos = float(i*5+10)
swimmerArrows_sources.append(
[ ColumnDataSource(data=dict(xs=[xPos],ys=[boatSpeed],xe=[xPos],ye=[boatSpeed])),
ColumnDataSource(data=dict(xs=[xPos+0.5],ys=[0],xe=[xPos+0.5],ye=[0])),
ColumnDataSource(data=dict(xs=[xPos-0.5],ys=[0],xe=[xPos-0.5],ye=[boatSpeed])) ]
)
relativeVelocityArrow = Arrow(
end=OpenHead(
line_color="#DAD7CB",
line_width=3,
size=5
),
x_start=['xs'][0],
y_start=['ys'][0],
x_end=['xe'][0],
y_end=['ye'][0],
line_color = "#DAD7CB",
source=swimmerArrows_sources[i][0]
)
absoluteVelocityArrow = Arrow(
end=OpenHead(
line_color=colors[i],
line_width=3,
size=5
),
x_start=['xs'][0],
y_start=['ys'][0],
x_end=['xe'][0],
y_end=['ye'][0],
line_color=colors[i],
source=swimmerArrows_sources[i][1]
)
startingVelocityArrow = Arrow(
end=OpenHead(
line_color="#000000",
line_width=3,
size=5
),
x_start=['xs'][0],
y_start=['ys'][0],
x_end=['xe'][0],
y_end=['ye'][0],
line_color = "#000000",
source=swimmerArrows_sources[i][2]
)
swimmerArrows_intities.append( [relativeVelocityArrow, absoluteVelocityArrow, startingVelocityArrow] )
diagram.add_layout( relativeVelocityArrow )
diagram.add_layout( absoluteVelocityArrow )
diagram.add_layout( startingVelocityArrow )
# Create labels for both the boat and the swimmers
diagram.add_layout( Label(
x=5, y=-2,
text='Boat',
text_color='black',text_font_size="8pt",
level='glyph',text_baseline="middle",text_align="center",
))
diagram.add_layout( Label(
x=10, y=-2,
text='Orange Swimmer',
text_color='black',text_font_size="8pt",
level='glyph',text_baseline="middle",text_align="center",
))
diagram.add_layout( Label(
x=15, y=-2,
text='Green Swimmer',
text_color='black',text_font_size="8pt",
level='glyph',text_baseline="middle",text_align="center",
))
diagram.add_layout( Label(
x=20, y=-2,
text='Blue Swimmer',
text_color='black',text_font_size="8pt",
level='glyph',text_baseline="middle",text_align="center",
))
diagram.add_layout( Label(
x=25, y=-2,
text='Yellow Swimmer',
text_color='black',text_font_size="8pt",
level='glyph',text_baseline="middle",text_align="center",
))
diagram.add_layout( Label(
x=30, y=-2,
text='Red Swimmer',
text_color='black',text_font_size="8pt",
level='glyph',text_baseline="middle",text_align="center",
))
'''
swimmersLabels = list()
for i in range(0,5):
xPos = i*5+10
swimmersLabels.append(
LabelSet(
x=xPos, y=-2,
text='f',
text_color='black',text_font_size="15pt",
level='glyph',text_baseline="middle",text_align="center",
)
)
diagram.add_layout( swimmersLabels[i] )
'''
return boatArrows_sources, swimmerArrows_sources
x_range = Range1d(0, 10)
y_range = Range1d(0, 10)
# Have to specify x/y range as labels aren't included in the plot area solver
plot = Plot(plot_width=600, plot_height=600,
x_range=x_range, y_range=y_range, toolbar_location=None)
source = ColumnDataSource(data=dict(
x1 = [1,3,5,7,9],
lower1 = [1,2,1,2,1],
upper1 = [2,3,2,3,2],
x2 = [200, 250, 350, 450, 550],
lower2 = [400, 300, 400, 300, 400],
upper2 = [500, 400, 500, 400, 500],
))
whisker1 = Whisker(base='x1', lower='lower1', upper='upper1',
line_width=3, line_color='red', line_dash='dashed',
source=source)
whisker2 = Whisker(base='x2', lower='lower2', upper='upper2', upper_head=OpenHead(),
base_units='screen', lower_units='screen', upper_units='screen',
dimension='width', line_width=3, line_color='green',
source=source)
plot.add_layout(whisker1)
plot.add_layout(whisker2)
save(plot)
from bokeh.plotting import figure, output_file, show
from bokeh.models import Arrow, OpenHead, NormalHead, VeeHead
output_file("arrow.html", title="arrow.py example")
p = figure(plot_width=600, plot_height=600)
p.circle(x=[0, 1, 0.5],
y=[0, 0, 0.7],
radius=0.1,
color=["navy", "yellow", "red"],
fill_alpha=0.1)
p.add_layout(
Arrow(end=OpenHead(line_color="firebrick", line_width=4),
x_start=0,
y_start=0,
x_end=1,
y_end=0))
p.add_layout(
Arrow(end=NormalHead(fill_color="orange"),
x_start=1,
y_start=0,
x_end=0.5,
y_end=0.7))
p.add_layout(
Arrow(end=VeeHead(size=35),
line_color="red",
x_start=0.5,
plot_main.axis.visible = False
plot_main.outline_line_width = 2
plot_main.outline_line_color = "Black"
plot_main.title.text_font_size = "13pt"
plot_main.toolbar.logo = None
# plot error message if both supports are set to sliding
error_label = LabelSet(x='x', y='y', text='name', source=error_msg)
plot_main.add_layout(error_label)
plot_main.add_glyph(error_msg_frame,Rect(x="x", y="y", width=8, height=1, angle=0, fill_color='red', fill_alpha=0.2))
# plot helper line
plot_main.add_glyph(aux_line, aux_line_glyph)
# measures
beam_measure_doublearrow_glyph = Arrow(start=OpenHead(line_color=c_black, line_width=2, size=8), end=OpenHead(line_color='black',line_width= 2, size=8),
x_start=xr_start, y_start=-1.2, x_end=xr_end, y_end=-1.2, line_width=5, line_color=c_black)
beam_measure_singlearrow_glyph = Arrow(end=NormalHead(fill_color=c_gray, line_width=1, size=6),
x_start=xr_start-0.1, y_start=-0.8, x_end=xr_start+0.8, y_end=-0.8, line_width=1, line_color=c_black)
beam_measure_label_source.data = dict(x=[xr_start+0.25, 0.5*(xr_end-xr_start)], y=[-0.7,-1.6], text=["x","L"])
beam_measure_label = LatexLabelSet(x='x', y='y', text='text', source=beam_measure_label_source, level='glyph')#, x_offset=3, y_offset=-15)
plot_main.line(x=[xr_start, xr_start], y=[-0.7,-0.9], line_color=c_black) # vertical line for single x-arrow
plot_main.add_layout(beam_measure_singlearrow_glyph)
plot_main.add_layout(beam_measure_doublearrow_glyph)
plot_main.add_layout(beam_measure_label)
# graphics for a cold beam
snow_images = ["Normal_Force_Rod/static/images/snowflake01.svg",
"Normal_Force_Rod/static/images/snowflake02.svg",
width=0.1,
height=0.1,
source=PendulumElbow,
color="#808080")
fig.ellipse(x='x', y='y', width=1, height=1, source=Mass, color="#0065BD")
fig.patch(x='x', y='y', source=KinEnergySource, color="#E37222")
fig.patch(x='x', y='y', source=OtherEnergySource, color="#808080")
fig.line(x='x', y='y', source=PhiAngle, color="black")
fig.text(x='x',
y='y',
text='t',
source=PhiAngleText,
color="black",
text_baseline="top",
text_align="center")
arrow_glyph = Arrow(end=OpenHead(line_color="black", line_width=2, size=6),
x_start='xs',
y_start='ys',
x_end='xe',
y_end='ye',
source=dPhiArrow,
line_color="black",
line_width=2)
fig.add_layout(arrow_glyph)
dPhiText = fig.text(x='x',
y='y',
text='t',
source=dPhiArrowText,
color="black",
text_align="left")
from bokeh.io import save
from bokeh.models import Arrow, NormalHead, OpenHead, TeeHead, VeeHead
from bokeh.plotting import figure
# Have to specify x/y range as labels aren't included in the plot area solver
plot = figure(width=600, height=600, x_range=(0,10), y_range=(0,10), toolbar_location=None)
arrow1 = Arrow(x_start=1, y_start=4, x_end=6, y_end=9,
line_color='green', line_alpha=0.7,
line_dash='8 4', line_width=5, end=OpenHead()
)
arrow1.end.line_width=8
arrow2 = Arrow(x_start=2, y_start=3, x_end=7, y_end=8,
start=NormalHead(), end=VeeHead()
)
arrow2.start.fill_color = 'indigo'
arrow2.end.fill_color = 'orange'
arrow2.end.size = 50
plot.add_layout(arrow1)
plot.add_layout(arrow2)
# test arrow body clipping
plot.add_layout(Arrow(start=TeeHead(line_width=1), x_start=6, y_start=5, x_end=8, y_end=6, line_width=10))
plot.add_layout(Arrow(start=VeeHead(line_width=1, fill_color="white"), x_start=6, y_start=4, x_end=8, y_end=5, line_width=10))
plot.add_layout(Arrow(start=NormalHead(line_width=1, fill_color="white"), x_start=6, y_start=3, x_end=8, y_end=4, line_width=10))
plot.add_layout(Arrow(start=OpenHead(line_width=1), x_start=6, y_start=2, x_end=8, y_end=3, line_width=10))
save(plot)
#adding arrows to edges to make it a directed graph
start_coord = [[.95, .117], [.97, -.07], [.9, -.1], [.64,
.7257], [.625, .6691],
[-.15, .9357], [0, .9], [.05, .878], [-.65, .5785], [-.65, .65],
[-.94, -.14], [-.9, -.1], [-.85, -.0618], [-.6, -.7],
[-.6, -.743], [.1, -.957], [.1, -.9]]
end_coord = [[.72, .653], [.73, -.63], [.1, -.9], [.1, .957], [-.84, .06],
[-.61, .738], [0, -.9], [.585, -.4207], [-.12, -.708], [.6, -.6],
[-.75, -.5833], [-.1, -.9], [.54, -.631], [.6, -.7], [-.2, -.914],
[.6, -.743], [.9, -.1]]
for i in range(0, 17):
plot.add_layout(
Arrow(end=OpenHead(line_color="black",
line_width=2,
size=10,
line_alpha=.65),
x_start=start_coord[i][0],
y_start=start_coord[i][1],
x_end=end_coord[i][0],
y_end=end_coord[i][1],
line_alpha=0.25))
#function called when button is pressed
time_slider.on_change('value', update_data_bubble)
button = Button(label='► Play', width=120, margin=(1, 1, 1, 20))
button.on_click(animate)
#adding descriptive info
note1 = Div(
text=
children_visual.append(visual)
# plot force symbols
for force_symbol in deformable_object.force_symbols:
# sigma
source = force_symbol.data_source['sigma']
visual = Patch(x='x',
y='y',
line_color=c_black,
line_width=1,
fill_color=c_orange,
fill_alpha=0.75)
figure.add_glyph(source, visual)
# sigma arrows
source = force_symbol.data_source['sigma_arrows']
visual = Arrow(end=OpenHead(line_color=c_black, line_width=1, size=5),
x_start='xS',
y_start='yS',
x_end='xE',
y_end='yE',
line_color=c_black,
line_width=1,
source=source)
figure.add_layout(visual)
# R arrows
source = force_symbol.data_source['R_arrow']
visual = Arrow(end=OpenHead(line_color=c_black, line_width=2, size=10),
x_start='xS',
y_start='yS',
x_end='xE',
y_end='yE',
upper1=[2, 3, 2, 3, 2],
x2=[200, 250, 350, 450, 550],
lower2=[400, 300, 400, 300, 400],
upper2=[500, 400, 500, 400, 500],
))
whisker1 = Whisker(base='x1',
lower='lower1',
upper='upper1',
line_width=3,
line_color='red',
line_dash='dashed',
source=source)
whisker2 = Whisker(base='x2',
lower='lower2',
upper='upper2',
upper_head=OpenHead(),
base_units='screen',
lower_units='screen',
upper_units='screen',
dimension='width',
line_width=3,
line_color='green',
source=source)
plot.add_layout(whisker1)
plot.add_layout(whisker2)
save(plot)
figure_name.add_glyph(
cds_support_left,
ImageURL(url="sp_img", x='x', y='y', w=0.66, h=0.4, anchor="center"))
figure_name.add_glyph(
cds_support_right,
ImageURL(url="sp_img",
x='x',
y='y',
w=support_width,
h=support_height,
anchor="center"))
### add arrows to the figure ###
# use either Normalheads or Openheads and orange color by default
#arrow_glyph = Arrow(end=NormalHead(line_color=c_orange, fill_color=c_orange), x_start='xS', y_start='yS', x_end='xE', y_end='yE', line_color=c_orange, source=cds_arrow)
arrow_glyph = Arrow(end=OpenHead(line_color=c_orange),
x_start='xS',
y_start='yS',
x_end='xE',
y_end='yE',
line_color=c_orange,
source=cds_arrow)
figure_name.add_layout(arrow_glyph)
### define the 3D plot ###
x = np.arange(0, 300, 10)
y = np.arange(0, 300, 10)
xx, yy = np.meshgrid(x, y)
xx = xx.ravel()
yy = yy.ravel()
value = np.sin(xx / 50) * np.cos(yy / 50) * 50 + 50
plot.title.text_color = "black"
plot.title.text_font_style = "bold"
plot.title.align = "center"
labels1 = LabelSet(x='x', y='y', text='name', level='glyph',
x_offset=0, y_offset=0, source=f1.label, render_mode='canvas')
labels2 = LabelSet(x='x', y='y', text='name', level='glyph',
x_offset=0, y_offset=0, source=f2.label, render_mode='canvas')
#P arrow:
p1_arrow_glyph = Arrow(end=NormalHead(line_color="#0065BD",line_width= 4, size=10),
x_start='xS', y_start='yS', x_end='xE', y_end='yE',line_width= "lW", source=f1.arrow_source,line_color="#0065BD")
p2_arrow_glyph = Arrow(end=NormalHead(line_color="#E37222",line_width= 4, size=10),
x_start='xS', y_start='yS', x_end='xE', y_end='yE',line_width= "lW", source=f2.arrow_source,line_color="#E37222")
e1_arrow_glyph = Arrow(end=OpenHead(line_color="#A2AD00",line_width= 1, size=7),
x_start='xS', y_start='yS', x_end='xE', y_end='yE',line_width= "lW", source=f1.e_s,line_color="#A2AD00")
e2_arrow_glyph = Arrow(end=OpenHead(line_color="#A2AD00",line_width= 1, size=7),
x_start='xS', y_start='yS', x_end='xE', y_end='yE',line_width= "lW", source=f2.e_s,line_color="#A2AD00")
plot.add_layout(p1_arrow_glyph)
plot.add_layout(p2_arrow_glyph)
plot.add_layout(e1_arrow_glyph)
plot.add_layout(e2_arrow_glyph)
plot.add_layout(labels1)
plot.add_layout(labels2)
#curdoc().add_root( row(column(f1.mag_slider,f1.loc_slider,f2.mag_slider,f2.loc_slider, toggle),plot ) )
arrow_source.data = dict(xS= [x[f_coord1]], xE= [x[f_coord1]], yS= [y[f_coord1]-1-(f_mag/200.0)], yE=[y[f_coord1]-1])
print(len(x))
print(len(y))
def init_data():
fun_change(None,None,None)
# Plotting
plot = Figure(title="Maxwell reciprocity", x_range=[x0-3,xf+3], y_range=[-15,15.1])
plot.line(x='x', y='y', source=data_source, color='blue',line_width=5)
#Callback
force_loc.on_change('value', fun_change)
force_input.on_change('value', fun_change)
#arrow plotting:
arrow_glyph = Arrow(end=OpenHead(line_color="red",line_width= 4,size=10),
x_start='xS', y_start='yS', x_end='xE', y_end='yE',source=arrow_source,line_color="red",line_width=2)
plot.add_layout(arrow_glyph)
#main:
init_data()
#Layout
#show(row(column(force_loc,force_input),plot))
curdoc().add_root(row(column(force_loc,force_input),plot))
from bokeh.models import Arrow, OpenHead, NormalHead, VeeHead
from bokeh.layouts import gridplot
output_file("yau_bases.html")
p = figure(plot_width=500, plot_height=350, title="Yau's vectors")
# plot the lines
p.line(x=[0, 0.5], y=[0, (3**0.5) / 2], color="red", legend="T")
p.line(x=[0, (3**0.5) / 2], y=[0, 0.5], color="black", legend="C")
p.line(x=[0, (3**0.5) / 2], y=[0, -0.5], color="green", legend="G")
p.line(x=[0, 0.5], y=[0, -(3**0.5) / 2], color="blue", legend="A")
# plot the arrows
p.add_layout(
Arrow(end=OpenHead(size=10),
line_color="blue",
x_start=0,
y_start=0,
x_end=0.5,
y_end=-(3**0.5) / 2))
p.add_layout(
Arrow(end=OpenHead(size=10),
line_color="red",
x_start=0,
y_start=0,
x_end=0.5,
y_end=(3**0.5) / 2))
p.add_layout(
Arrow(end=OpenHead(size=10),
line_color="green",
def test_arrow(output_file_url, selenium, screenshot):
# Have to specify x/y range as labels aren't included in the plot area solver
plot = figure(height=HEIGHT,
width=WIDTH,
x_range=(0, 10),
y_range=(0, 10),
tools='',
toolbar_location="above")
arrow1 = Arrow(x_start=1,
y_start=3,
x_end=6,
y_end=8,
line_color='green',
line_alpha=0.7,
line_dash='8 4',
line_width=5,
end=OpenHead())
arrow1.end.line_width = 8
arrow2 = Arrow(x_start=2,
y_start=2,
x_end=7,
y_end=7,
start=NormalHead(),
end=VeeHead())
arrow2.start.fill_color = 'indigo'
arrow2.end.fill_color = 'orange'
arrow2.end.size = 50
plot.add_layout(arrow1)
plot.add_layout(arrow2)
# test arrow body clipping
plot.add_layout(
Arrow(start=VeeHead(line_width=1, fill_color="white"),
x_start=6,
y_start=4,
x_end=8,
y_end=5,
line_width=10))
plot.add_layout(
Arrow(start=NormalHead(line_width=1, fill_color="white"),
x_start=6,
y_start=3,
x_end=8,
y_end=4,
line_width=10))
plot.add_layout(
Arrow(start=OpenHead(line_width=1),
x_start=6,
y_start=2,
x_end=8,
y_end=3,
line_width=10))
# Save the plot and start the test
save(plot)
selenium.get(output_file_url)
assert has_no_console_errors(selenium)
# Take screenshot
screenshot.assert_is_valid()
y=[u22.data['y'][0]-0.05, u22.data['y'][0]+0.05], line_color="White")
plot.line(x=[u22.data['x'][0], u22.data['x'][0]],
y=[u22.data['y'][0]-0.05, u22.data['y'][0]+0.05], line_color="White")
plot.add_layout(Label(x=-0.5, y=-1.3, text='ε(%s=22)'%ofilt, text_color="White",
text_font_size='8pt'))
plot.line(x='x', y='y', line_color="White", line_cap='butt',
source=u24)
plot.line(x=[-u24.data['x'][0], -u24.data['x'][0]],
y=[u24.data['y'][0]-0.05, u24.data['y'][0]+0.05], line_color="White")
plot.line(x=[u24.data['x'][0], u24.data['x'][0]],
y=[u24.data['y'][0]-0.05, u24.data['y'][0]+0.05], line_color="White")
plot.add_layout(Label(x=-0.5, y=-1.55, text='ε(%s=24)'%ofilt, text_color="White",
text_font_size='8pt'))
plot.add_layout(Arrow(end=OpenHead(line_color="White", size=10),
x_start=-0.350, y_start=3.3, x_end=-0.45, y_end=3.3,
line_color="White"))
plot.add_layout(Arrow(end=OpenHead(line_color="White", size=10),
x_start=0.8, y_start=3.3, x_end=0.9, y_end=3.3,
line_color="White"))
plot.add_layout(Arrow(end=OpenHead(line_color="firebrick", size=10),
x_start=0.9, y_start=2.5, x_end=0.9, y_end=3.0,
line_color="firebrick"))
plot.add_layout(Arrow(end=OpenHead(line_color="steelblue", size=10),
x_start=0.9, y_start=-0.7, x_end=0.9, y_end=-1.4,
line_color="steelblue"))
y_range=(0.99 * all_layer_Hl, -0.3 * H),
plot_width=200,
plot_height=400,
toolbar_location=None,
toolbar_sticky=False)
sigma_patch = Patch(x='x', y='y', fill_color='#EEEEEE', line_color='black')
sigma_figure.add_glyph(sigma_data, sigma_patch)
force = PolyArea(x_sigma_all, y_sigma_all) * np.cos(np.radians(omega))
arrow_data = ColumnDataSource(data=dict(
x0=[max(x_sigma_all)], y0=[load_height_top], y1=[load_height_top]))
force_arrow = Arrow(end=OpenHead(line_color="black",
line_width=3,
line_join='bevel'),
line_width=3,
x_start='x0',
y_start='y0',
x_end=0,
y_end='y1',
source=arrow_data)
sigma_figure.add_layout(force_arrow)
arrow_load = Label(x=0.27 * max(x_sigma_all),
y=load_height_top,
text='{:.0f} kN'.format(force),
text_font_style='bold',
border_line_width=2,
text_font_size='16pt',