In matplolib for a time line diagram can I set to y-axis different values on the left and make another y-axis to the right with other scale?
在一个时间线图中,我可以将左边的y轴设置为y轴,然后再以其他的比例画出另一个y轴吗?
I am using this:
我用这个:
import matplotlib.pyplot as plt
plt.axis('normal')
plt.axvspan(76, 76, facecolor='g', alpha=1)
plt.plot(ts, 'b',linewidth=1.5)
plt.ylabel("name",fontsize=14,color='blue')
plt.ylim(ymax=100)
plt.xlim(xmax=100)
plt.grid(True)
plt.title("name", fontsize=20,color='black')
plt.xlabel('xlabel', fontsize=14, color='b')
plt.show()
Can I give 2 y-axis in this plot?
在这个图中我能给出2个y轴吗?
In span selector:
在时间选择器:
plt.axvspan(76, 76, facecolor='g', alpha=1)
I want to right text to characterize this span for example 'This is span selector' how can I make it?
我想要用正确的文本来描述这个span的特征例如,这是span选择器,我怎么做呢?
1 个解决方案
#1
16
You want twinx
example. The gist if it is:
你想要twinx例子。如果它是:
ax = plt.gca()
ax2 = ax.twinx()
You can then plot to the first axes with
然后你可以画出第一个坐标轴。
ax.plot(...)
and the second with
和第二个
ax2.plot(...)
In your case (I think) you want:
在你的情况下(我认为)你想:
import matplotlib.pyplot as plt
ax = plt.gca()
ax2 = ax.twinx()
plt.axis('normal')
ax2.axvspan(74, 76, facecolor='g', alpha=1)
ax.plot(range(50), 'b',linewidth=1.5)
ax.set_ylabel("name",fontsize=14,color='blue')
ax2.set_ylabel("name2",fontsize=14,color='blue')
ax.set_ylim(ymax=100)
ax.set_xlim(xmax=100)
ax.grid(True)
plt.title("name", fontsize=20,color='black')
ax.set_xlabel('xlabel', fontsize=14, color='b')
plt.show()
#1
16
You want twinx
example. The gist if it is:
你想要twinx例子。如果它是:
ax = plt.gca()
ax2 = ax.twinx()
You can then plot to the first axes with
然后你可以画出第一个坐标轴。
ax.plot(...)
and the second with
和第二个
ax2.plot(...)
In your case (I think) you want:
在你的情况下(我认为)你想:
import matplotlib.pyplot as plt
ax = plt.gca()
ax2 = ax.twinx()
plt.axis('normal')
ax2.axvspan(74, 76, facecolor='g', alpha=1)
ax.plot(range(50), 'b',linewidth=1.5)
ax.set_ylabel("name",fontsize=14,color='blue')
ax2.set_ylabel("name2",fontsize=14,color='blue')
ax.set_ylim(ymax=100)
ax.set_xlim(xmax=100)
ax.grid(True)
plt.title("name", fontsize=20,color='black')
ax.set_xlabel('xlabel', fontsize=14, color='b')
plt.show()