本文整理汇总了Python中matplotlib.axes.Axes.add_line方法的典型用法代码示例。如果您正苦于以下问题：Python Axes.add_line方法的具体用法？Python Axes.add_line怎么用？Python Axes.add_line使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.axes.Axes的用法示例。
在下文中一共展示了Axes.add_line方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: fibers_2d_yz
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import add_line [as 别名]
def fibers_2d_yz():
'''
Plot fibers in 2D section (plane YZ)
'''
fig2 = figure(1)
ax2 = Axes(fig2, [.1, .1, .8, .8])
fig2.add_axes(ax2)
for i in range(0, len(sx[0])):
l = Line2D([sy[0][i] - fib.lf / 2. * cos(phi_y[0][i]), sy[0][i] + fib.lf / 2. * cos(phi_y[0][i])], \
[sz[0][i] - fib.lf / 2. * cos(phi_z[0][i]), sz[0][i] + fib.lf / 2. * cos(phi_z[0][i])], \
linewidth = .5)
#print i, sx[0][i], lf / 2. * cosphi_x[0][i], [sx[0][i] - lf / 2. * cosphi_x[0][i], sx[0][i] + lf / 2. * cosphi_x[0][i]], \
# [sy[0][i] - lf / 2. * cosphi_y[0][i], sy[0][i] + lf / 2. * cosphi_y[0][i]], \
# [sz[0][i] - lf / 2. * cosphi_z[0][i], sz[0][i] + lf / 2. * cosphi_z[0][i]]
ax2.add_line(l)
ax2.plot(sy, sz, 'ro')
ax2.plot([ -spec.l_y / 2., spec.l_y / 2. ], [spec.l_z / 2., spec.l_z / 2.], 'r-')
ax2.plot([ -spec.l_y / 2., spec.l_y / 2. ], [-spec.l_z / 2., -spec.l_z / 2.], 'r-')
ax2.plot([ spec.l_y / 2., spec.l_y / 2. ], [-spec.l_z / 2., spec.l_z / 2.], 'r-')
ax2.plot([ -spec.l_y / 2., -spec.l_y / 2. ], [-spec.l_z / 2., spec.l_z / 2.], 'r-')
#ax2.set_xlim( -l_y / 2., l_y / 2. )
#ax2.set_ylim( -l_z / 2., l_z / 2. )
title('Fibers in 2D - yz')
draw()
return 0示例2: fibers_2d_xy
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import add_line [as 别名]
def fibers_2d_xy():
'''
Plot fibers in 2D section (plane XY)
'''
fig3 = figure(5)
ax3 = Axes(fig3, [.1, .1, .8, .8])
fig3.add_axes(ax3)
for i in range(0, len(sx[0])):
l = Line2D([sx[0][i] - fib.lf / 2. * cos(phi_x[0][i]), sx[0][i] + fib.lf / 2. * cos(phi_x[0][i])], \
[sy[0][i] - fib.lf / 2. * cos(phi_y[0][i]), sy[0][i] + fib.lf / 2. * cos(phi_y[0][i])], \
linewidth = .5, color = 'black')
#print i, sx[0][i], lf / 2. * cosphi_x[0][i], [sx[0][i] - lf / 2. * cosphi_x[0][i], sx[0][i] + lf / 2. * cosphi_x[0][i]], \
# [sy[0][i] - lf / 2. * cosphi_y[0][i], sy[0][i] + lf / 2. * cosphi_y[0][i]], \
# [sz[0][i] - lf / 2. * cosphi_z[0][i], sz[0][i] + lf / 2. * cosphi_z[0][i]]
ax3.add_line(l)
ax3.plot(sx, sy, 'ko', markersize = 3.0)
ax3.plot([ -spec.l_x / 2., spec.l_x / 2. ], [spec.l_y / 2., spec.l_y / 2.], 'k-', linewidth = 2)
ax3.plot([ -spec.l_x / 2., spec.l_x / 2. ], [-spec.l_y / 2., -spec.l_y / 2.], 'k-', linewidth = 2)
ax3.plot([ spec.l_x / 2., spec.l_x / 2. ], [-spec.l_y / 2., spec.l_y / 2.], 'k-', linewidth = 2)
ax3.plot([ -spec.l_x / 2., -spec.l_x / 2. ], [-spec.l_y / 2., spec.l_y / 2.], 'k-', linewidth = 2)
ax3.set_axis_off()
#ax3.set_xlim( -l_x / 2., l_x / 2. )
#ax3.set_ylim( -l_y / 2., l_y / 2. )
title('Fibers in 2D - xy')
draw()示例3: display_top_down
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import add_line [as 别名]
def display_top_down( arrX, arrY ):
fig = plt.figure(1)
ax = Axes(fig, [.1,.1,.8,.8])
fig.add_axes(ax)
l = Line2D( arrX, arrY)
ax.add_line(l)
plt.plot( arrX, arrY, 'ro' )示例4: drawG
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import add_line [as 别名]
def drawG(fig, n, roundN, graphs):
graphsId = difGraphsId(graphs)
size = len(graphsId)
print 'size ', size
bgnX = 0.1
bgnY = 0.1
width = 0.8 / size
height = 0.35
for idx in range(size):
ax = Axes(fig, [bgnX, bgnY, width * 0.9, height])
ax.set_xticks(range(-1,3))
ax.set_yticks(range(-1, n+1))
ax.set_frame_on(False)
gid = graphsId[idx]
ax.set_title( 'Round ' + str(gid+1) )
for i in range(-1, n + 1):
ax.plot(0, i, marker = 'o')
ax.plot(1, i, marker = 'o')
for edge in graphs[gid]:
nodes = [int(i) for i in edge.split('-')]
nodes[1] -= n
line = Line2D([0, 1], nodes)
if gid == 0:
line.set_color('b')
else:
color = 'r'
for e in graphs[gid-1]:
if edge == e:
color = 'b'
break
line.set_color(color)
ax.add_line( line )
preId = max(gid-1, 0)
for edge in graphs[preId]:
color = 'g'
for e in graphs[gid]:
if edge == e:
color = 'b'
break
if color == 'g':
nodes = [int(i) for i in edge.split('-')]
nodes[1] -= n
line = Line2D([0, 1], nodes, linestyle= '--')
line.set_color(color)
ax.add_line( line )
fig.add_axes( ax )
bgnX += width示例5: figure
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import add_line [as 别名]
#ax.set_zlabel( 'Z' )
fig2 = figure( 1 )
ax2 = Axes( fig2, [.1, .1, .8, .8] )
fig2.add_axes( ax2 )
for i in range( 0, len( sx[0] ) ):
l = Line2D( [sy[0][i] - lf / 2. * cosphi_y[0][i], sy[0][i] + lf / 2. * cosphi_y[0][i]], \
[sz[0][i] - lf / 2. * cosphi_z[0][i], sz[0][i] + lf / 2. * cosphi_z[0][i]], \
linewidth=.5 )
#print i, sx[0][i], lf / 2. * cosphi_x[0][i], [sx[0][i] - lf / 2. * cosphi_x[0][i], sx[0][i] + lf / 2. * cosphi_x[0][i]], \
# [sy[0][i] - lf / 2. * cosphi_y[0][i], sy[0][i] + lf / 2. * cosphi_y[0][i]], \
# [sz[0][i] - lf / 2. * cosphi_z[0][i], sz[0][i] + lf / 2. * cosphi_z[0][i]]
ax2.add_line( l )
ax2.plot( sy, sz, 'ro' )
ax2.set_xlim( -6, 6. )
ax2.set_ylim( -6., 6. )
ax2.plot( [ -l_x / 2., l_x / 2. ], [l_y / 2., l_y / 2.], 'r-' )
ax2.plot( [ -l_x / 2., l_x / 2. ], [-l_y / 2., -l_y / 2.], 'r-' )
ax2.plot( [ l_x / 2., l_x / 2. ], [-l_y / 2., l_y / 2.], 'r-' )
ax2.plot( [ -l_x / 2., -l_x / 2. ], [-l_y / 2., l_y / 2.], 'r-' )
#canvas = FigureCanvasAgg( fig )
#canvas.print_figure( "specimen3D.png" )
示例6: rand
# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import add_line [as 别名]
#sec = rand( 1, n_sec ) * l_x
sec = linspace( 0, l_x, n_sec )
for i in range( 0, n_sec ):
vec_cut = func( sx, lx, sec[i] )
v.append( sum( vec_cut ) )
# plot specimen with fibers
fig = Figure() #figsize=[4, 4]
ax = Axes( fig, [.1, .1, .8, .8] )
fig.add_axes( ax )
for i in range( 0, len( sx[0] ) ):
l = Line2D( [sx[0][i] - lf / 2. * cosO[0][i], sx[0][i] + lf / 2. * cosO[0][i]], [sy[0][i], sy[0][i]] )#- lf / 2. * sin( arccos( cosO[0][i] ) )
ax.add_line( l )
ax.set_xlim( 0, 500 )
ax.set_ylim( 0, 100 )
canvas = FigureCanvasAgg( fig )
canvas.print_figure( "specimen.png" )
# plot histogram
pdf, bins, patches = hist( v, 1000, normed=0 ) #, facecolor='green', alpha=1
#plot( sx, sy, 'rx' ) # centroids
#print sum( pdf * diff( bins ) )
show()