Python matplotlib:连接两个子图
Python matplotlib: connect two subplot diagrams
我尝试创建一个 x 轴断开的图表。我使用了可以在 matplotlib 页面上找到的示例。
我的问题是:如何连接两个图?我需要图形的闭合线(并且两个 x 轴应该更接近)。
有办法得到这个吗?
import matplotlib.pyplot as plt
#x-axis
x_axis = [0,1,2,3,4,5,6,7,8,19,20,21,22,23,24,25]
# Line 1
line = [99,91,86,80,80,76,72,72,73,74,76,78,79,80,80,80]
# create broken x-axis
f, (ax, ax2) = plt.subplots(1, 2, sharey=True)
ax.step(x_axis, line, color='red')
ax2.step(x_axis, line, color='red')
ax.set_xlim(0, 10.5)
ax2.set_xlim(18.5, 30)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax2.spines['left'].set_visible(False)
ax2.spines['top'].set_visible(False)
ax2.spines['right'].set_visible(False)
ax2.tick_params(
axis='y',
which='both',
left='off')
# seperators for x-axis
d = .015
kwargs = dict(transform=ax.transAxes, color='k', clip_on=False)
ax.plot((1 - d, 1 + d), (-d, +d), **kwargs)
kwargs.update(transform=ax2.transAxes)
ax2.plot ( (0-d ,0+d),(-d, +d ), **kwargs)
plt.show()
有没有办法得到"one"图表?
您可以在 figure
对象上使用 lines
。
优点是这些图形线比轴上的线层次更高,所以不用担心为它画轴。
(我从这个 Whosebug 答案中得到了这个想法:ref)
应用于您的代码,如下所示:
import matplotlib.pyplot as plt
import matplotlib as mpl
#x-axis
x_axis = [0,1,2,3,4,5,6,7,8,19,20,21,22,23,24,25]
# Line 1
line = [99,91,86,80,80,76,72,72,73,74,76,78,79,80,80,80]
# create broken x-axis
f, (ax, ax2) = plt.subplots(1, 2, sharey=True)
ax.step(x_axis, line, color='red')
ax2.step(x_axis, line, color='red')
ax.set_xlim(0, 10.5)
ax2.set_xlim(18.5, 30)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax2.spines['left'].set_visible(False)
ax2.spines['top'].set_visible(False)
ax2.spines['right'].set_visible(False)
ax2.tick_params(
axis='y',
which='both',
left='off')
# seperators for x-axis
d = .015
kwargs = dict(transform=ax.transAxes, color='k', clip_on=False)
ax.plot((1 - d, 1 + d), (-d, +d), **kwargs)
kwargs.update(transform=ax2.transAxes)
ax2.plot ( (0-d ,0+d),(-d, +d ), **kwargs)
# transFigure: used to transform the coordinates from your subplots
# to coordinates on the figure
# points are hardcoded as an example
transFigure = f.transFigure.inverted()
# last point on your left figure
coord1 = transFigure.transform(ax.transData.transform([8,74]))
# first point on your right figure
coord2 = transFigure.transform(ax2.transData.transform([19,74]))
# generate your line with the transformed coordinates
line = mpl.lines.Line2D((coord1[0],coord2[0]),(coord1[1],coord2[1]),
transform=f.transFigure, color='red')
# add your line to the figure
f.lines.append(line)
plt.show()
我尝试创建一个 x 轴断开的图表。我使用了可以在 matplotlib 页面上找到的示例。
我的问题是:如何连接两个图?我需要图形的闭合线(并且两个 x 轴应该更接近)。
有办法得到这个吗?
import matplotlib.pyplot as plt
#x-axis
x_axis = [0,1,2,3,4,5,6,7,8,19,20,21,22,23,24,25]
# Line 1
line = [99,91,86,80,80,76,72,72,73,74,76,78,79,80,80,80]
# create broken x-axis
f, (ax, ax2) = plt.subplots(1, 2, sharey=True)
ax.step(x_axis, line, color='red')
ax2.step(x_axis, line, color='red')
ax.set_xlim(0, 10.5)
ax2.set_xlim(18.5, 30)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax2.spines['left'].set_visible(False)
ax2.spines['top'].set_visible(False)
ax2.spines['right'].set_visible(False)
ax2.tick_params(
axis='y',
which='both',
left='off')
# seperators for x-axis
d = .015
kwargs = dict(transform=ax.transAxes, color='k', clip_on=False)
ax.plot((1 - d, 1 + d), (-d, +d), **kwargs)
kwargs.update(transform=ax2.transAxes)
ax2.plot ( (0-d ,0+d),(-d, +d ), **kwargs)
plt.show()
有没有办法得到"one"图表?
您可以在 figure
对象上使用 lines
。
优点是这些图形线比轴上的线层次更高,所以不用担心为它画轴。
(我从这个 Whosebug 答案中得到了这个想法:ref)
应用于您的代码,如下所示:
import matplotlib.pyplot as plt
import matplotlib as mpl
#x-axis
x_axis = [0,1,2,3,4,5,6,7,8,19,20,21,22,23,24,25]
# Line 1
line = [99,91,86,80,80,76,72,72,73,74,76,78,79,80,80,80]
# create broken x-axis
f, (ax, ax2) = plt.subplots(1, 2, sharey=True)
ax.step(x_axis, line, color='red')
ax2.step(x_axis, line, color='red')
ax.set_xlim(0, 10.5)
ax2.set_xlim(18.5, 30)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax2.spines['left'].set_visible(False)
ax2.spines['top'].set_visible(False)
ax2.spines['right'].set_visible(False)
ax2.tick_params(
axis='y',
which='both',
left='off')
# seperators for x-axis
d = .015
kwargs = dict(transform=ax.transAxes, color='k', clip_on=False)
ax.plot((1 - d, 1 + d), (-d, +d), **kwargs)
kwargs.update(transform=ax2.transAxes)
ax2.plot ( (0-d ,0+d),(-d, +d ), **kwargs)
# transFigure: used to transform the coordinates from your subplots
# to coordinates on the figure
# points are hardcoded as an example
transFigure = f.transFigure.inverted()
# last point on your left figure
coord1 = transFigure.transform(ax.transData.transform([8,74]))
# first point on your right figure
coord2 = transFigure.transform(ax2.transData.transform([19,74]))
# generate your line with the transformed coordinates
line = mpl.lines.Line2D((coord1[0],coord2[0]),(coord1[1],coord2[1]),
transform=f.transFigure, color='red')
# add your line to the figure
f.lines.append(line)
plt.show()