我有两组线性相关的值。因此,我只需要一个具有正确比例的第二个y轴的单个图形。
最优雅的方法是什么?
只制作两个条形图给我一个重叠:
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(4)
y2 = np.array([23, 32, 24, 28])
y1 = 4.2 * y2
fig = plt.figure(1, figsize=(6,6))
ax = fig.add_subplot(111)
ax.bar(x, y2)
ax.set_ylabel('Consumption in $m^3$')
ax2 = ax.twinx()
ax2.bar(x, y1, alpha=0.5)
ax2.set_ylabel('Consumption in EUR')
plt.savefig('watercomsumption.png', format='png', bbox_inches="tight")
非常感谢! : - )
修改:
我可能不清楚。我想制作一个单个图表。
像下面这样的东西。但有没有比调用条形函数两次并用alpha=0
隐藏它更优雅的方式?
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(4)
y2 = np.array([23, 32, 24, 28])
y1 = 4.2 * y2
y2max = np.max(y2) * 1.1
fig = plt.figure(1, figsize=(6,6))
ax = fig.add_subplot(111)
ax.bar(x, y2)
ax.set_ylabel('Consumption in $m^3$')
ax2 = ax.twinx()
ax2.bar(x, y1, alpha=0)
ax2.set_ylabel('Consumption in EUR')
ax.set_ylim(ymax=y2max)
ax2.set_ylim(ymax=4.2*y2max)
plt.savefig('watercomsumption.png', format='png', bbox_inches="tight")
答案 0 :(得分:5)
如果您不想两次拨打bar
并且只想让第二个y轴提供转换,那么第二次根本不要再调用bar。您仍然可以创建和调整第二个y轴,而实际上可以在其上绘制任何内容。
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(4)
y2 = np.array([23, 32, 24, 28])
y1 = 4.2 * y2
y2max = np.max(y2) * 1.1
fig = plt.figure(1, figsize=(6,6))
ax = fig.add_subplot(111)
ax.bar(x, y2)
ax.set_ylabel('Consumption in $m^3$')
ax2 = ax.twinx()
ax2.set_ylabel('Consumption in EUR')
ax.set_ylim(ymax=y2max)
ax2.set_ylim(ymax=4.2*y2max)