def bokeh_plot(u, t, legends, U, omega, t_range, filename):
"""
Строится график зависимости приближенного решения от t с
использованием библиотеки Bokeh.
u и t - списки (несколько экспериментов могут сравниваться).
легенды содержат строки для различных пар u,t.
"""
if not isinstance(u, (list,tuple)):
u = [u]
if not isinstance(t, (list,tuple)):
t = [t]
if not isinstance(legends, (list,tuple)):
legends = [legends]
import bokeh.plotting as plt
plt.output_file(filename, mode='cdn', title='Comparison')
# Предполагаем, что все массивы t имеют одинаковые размеры
t_fine = np.linspace(0, t[0][-1], 1001) # мелкая сетка для точного решения
tools = 'pan,wheel_zoom,box_zoom,reset,'\
'save,box_select,lasso_select'
u_range = [-1.2*U, 1.2*U]
font_size = '8pt'
p = [] # список графических объектов
# Создаем первую фигуру
p_ = plt.figure(
width=300, plot_height=250, title=legends[0],
x_axis_label='t', y_axis_label='u',
x_range=t_range, y_range=u_range, tools=tools,
title_text_font_size=font_size)
p_.xaxis.axis_label_text_font_size=font_size
p_.yaxis.axis_label_text_font_size=font_size
p_.line(t[0], u[0], line_color='blue')
# Добавляем точное решение
u_e = u_exact(t_fine, U, omega)
p_.line(t_fine, u_e, line_color='red', line_dash='4 4')
p.append(p_)
# Создаем оставшиеся фигуры и добавляем их оси к осям первой фигуры
for i in range(1, len(t)):
p_ = plt.figure(
width=300, plot_height=250, title=legends[i],
x_axis_label='t', y_axis_label='u',
x_range=p[0].x_range, y_range=p[0].y_range, tools=tools,
title_text_font_size=font_size)
p_.xaxis.axis_label_text_font_size = font_size
p_.yaxis.axis_label_text_font_size = font_size
p_.line(t[i], u[i], line_color='blue')
p_.line(t_fine, u_e, line_color='red', line_dash='4 4')
p.append(p_)
# Располагаем все графики на сетке с 3 графиками в строке
grid = [[]]
for i, p_ in enumerate(p):
grid[-1].append(p_)
if (i+1) % 3 == 0:
# Новая строка
grid.append([])
plot = plt.gridplot(grid, toolbar_location='left')
plt.save(plot)
plt.show(plot)
def bokeh_plot(u, t, legends, I, w, t_range, filename):
"""
Make plots for u vs t using the Bokeh library.
u and t are lists (several experiments can be compared).
legens contain legend strings for the various u,t pairs.
"""
if not isinstance(u, (list,tuple)):
u = [u] # wrap in list
if not isinstance(t, (list,tuple)):
t = [t] # wrap in list
if not isinstance(legends, (list,tuple)):
legends = [legends] # wrap in list
import bokeh.plotting as plt
plt.output_file(filename, mode='cdn', title='Comparison')
# Assume that all t arrays have the same range
t_fine = np.linspace(0, t[0][-1], 1001) # fine mesh for u_e
tools = 'pan,wheel_zoom,box_zoom,reset,'\
'save,box_select,lasso_select'
u_range = [-1.2*I, 1.2*I]
font_size = '8pt'
p = [] # list of plot objects
# Make the first figure
p_ = plt.figure(
width=300, plot_height=250, title=legends[0],
x_axis_label='t', y_axis_label='u',
x_range=t_range, y_range=u_range, tools=tools,
title_text_font_size=font_size)
p_.xaxis.axis_label_text_font_size=font_size
p_.yaxis.axis_label_text_font_size=font_size
p_.line(t[0], u[0], line_color='blue')
# Add exact solution
u_e = u_exact(t_fine, I, w)
p_.line(t_fine, u_e, line_color='red', line_dash='4 4')
p.append(p_)
# Make the rest of the figures and attach their axes to
# the first figure's axes
for i in range(1, len(t)):
p_ = plt.figure(
width=300, plot_height=250, title=legends[i],
x_axis_label='t', y_axis_label='u',
x_range=p[0].x_range, y_range=p[0].y_range, tools=tools,
title_text_font_size=font_size)
p_.xaxis.axis_label_text_font_size = font_size
p_.yaxis.axis_label_text_font_size = font_size
p_.line(t[i], u[i], line_color='blue')
p_.line(t_fine, u_e, line_color='red', line_dash='4 4')
p.append(p_)
# Arrange all plots in a grid with 3 plots per row
grid = [[]]
for i, p_ in enumerate(p):
grid[-1].append(p_)
if (i+1) % 3 == 0:
# New row
grid.append([])
plot = plt.gridplot(grid, toolbar_location='left')
plt.save(plot)
plt.show(plot)
def bokeh_plot(u, t, legends, I, w, t_range, filename):
"""
Make plots for u vs t using the Bokeh library.
u and t are lists (several experiments can be compared).
legens contain legend strings for the various u,t pairs.
"""
if not isinstance(u, (list, tuple)):
u = [u] # wrap in list
if not isinstance(t, (list, tuple)):
t = [t] # wrap in list
if not isinstance(legends, (list, tuple)):
legends = [legends] # wrap in list
import bokeh.plotting as plt
plt.output_file(filename, mode='cdn', title='Comparison')
# Assume that all t arrays have the same range
t_fine = np.linspace(0, t[0][-1], 1001) # fine mesh for u_e
tools = 'pan,wheel_zoom,box_zoom,reset,'\
'save,box_select,lasso_select'
u_range = [-1.2 * I, 1.2 * I]
font_size = '8pt'
p = [] # list of plot objects
# Make the first figure
p_ = plt.figure(width=300,
plot_height=250,
title=legends[0],
x_axis_label='t',
y_axis_label='u',
x_range=t_range,
y_range=u_range,
tools=tools,
title_text_font_size=font_size)
p_.xaxis.axis_label_text_font_size = font_size
p_.yaxis.axis_label_text_font_size = font_size
p_.line(t[0], u[0], line_color='blue')
# Add exact solution
u_e = u_exact(t_fine, I, w)
p_.line(t_fine, u_e, line_color='red', line_dash='4 4')
p.append(p_)
# Make the rest of the figures and attach their axes to
# the first figure's axes
for i in range(1, len(t)):
p_ = plt.figure(width=300,
plot_height=250,
title=legends[i],
x_axis_label='t',
y_axis_label='u',
x_range=p[0].x_range,
y_range=p[0].y_range,
tools=tools,
title_text_font_size=font_size)
p_.xaxis.axis_label_text_font_size = font_size
p_.yaxis.axis_label_text_font_size = font_size
p_.line(t[i], u[i], line_color='blue')
p_.line(t_fine, u_e, line_color='red', line_dash='4 4')
p.append(p_)
# Arrange all plots in a grid with 3 plots per row
grid = [[]]
for i, p_ in enumerate(p):
grid[-1].append(p_)
if (i + 1) % 3 == 0:
# New row
grid.append([])
plot = plt.gridplot(grid, toolbar_location='left')
plt.save(plot)
plt.show(plot)
