我试图在使用主轴和次轴的图表中绘制三个变量,其中一个变量在主轴上,两个变量在次轴上。我的代码
vav = floor_data[floor_data['vavId'] == i]
vav = vav.reset_index()
x = vav.index
y1 = vav['nvo_temperature_sensor_pps']
y2 = vav['nvo_airflow']
y3 = vav['nvo_air_damper_position']
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()
ax1.plot(x, y1, 'g-')
ax2.plot(x, y2, 'b-')
ax2.plot(x, y3, 'r-')
ax2 = ax1.twinx()
ax1.set_xlabel('VAV '+str(i))
ax1.set_ylabel('temperature ', color='g')
ax2.set_ylabel('air flow, temperature', color='b')
plt.show()
我已经添加了所有三个变量,但我在辅助轴的 y 刻度上遇到问题。我的 plotly 看起来像
是否可以在辅助轴上设置单个 y 刻度值以提高可读性?
最佳答案
您需要在主机上创建新的 twix 轴并缩小子图,以便为右侧的附加轴创建空间。然后将新轴移动到正确的位置。代码中的一些描述。
import matplotlib.pyplot as plt
import numpy as np
fig, host = plt.subplots()
# shrink subplot
fig.subplots_adjust(right=0.75)
# create new axis on host
par1 = host.twinx()
par2 = host.twinx()
# place second axis at far right position
par2.spines["right"].set_position(("axes", 1.2))
# define plot functions
def function_sin(x):
return np.sin(x)
def function_parabola(x):
return x**2
def function_line(x):
return x+1
# plot data
x = np.linspace(0, 10, 100)
y_sin = function_sin(x)
y_parabola = function_parabola(x)
y_line = function_line(x)
host.plot(x, y_sin, "b-")
par1.plot(x, y_parabola, "r-")
par2.plot(x, y_line, "g-")
# set labels for each axis
host.set_xlabel("VAV 16")
host.set_ylabel("Temperature")
par1.set_ylabel("Temperature")
par2.set_ylabel("Air Flow")
plt.show()
输出:
关于python - 在辅助轴上绘制两个变量时具有单个 y 轴值,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/60015071/