我想将阈值线（水平虚线红线）设置为具有不同值的多个子图。
图 1 阈值应为 5000，图 2 阈值应为 4000，图 3 阈值应为 3000，图 4 阈值应为 4000。
import matplotlib.pyplot as plt
from matplotlib import style
import pandas as pd
import matplotlib.dates as md
读取 csv 文件以绘制图形
datargraph1 = pd.read_csv('REPORT1.csv')
datargraph2 = pd.read_csv('REPORT2.csv')
datagraph3 = pd.read_csv('REPORT3.csv')
datagraph4 = pd.read_csv('REPORT4.csv')
在这里，我试图隐藏熊猫日期时间系列中的列
datargraph1['Timestamp'] = pd.to_datetime(datargraph1['Timestamp'], format='%H%M%S')
datargraph2['Timestamp'] = pd.to_datetime(datargraph2['Timestamp'], format='%H%M%S')
datagraph3['Timestamp'] = pd.to_datetime(datagraph3['Timestamp'], format='%H%M%S')
datagraph4['Timestamp'] = pd.to_datetime(datagraph4['Timestamp'], format='%H%M%S')
将 ylimits 设置为不同的轴
style.use('ggplot')
fig, axes = plt.subplots(ncols=4)
axes[0].title.set_text('Graph 1')
axes[0].set_ylim([0,8000])
axes[0].axhline( y=5000, xmin=0, xmax=1)
axes[1].title.set_text('Graph 2')
axes[1].set_ylim([0,6000])
axes[2].title.set_text('Graph 3')
axes[2].set_ylim([0,6000])
axes[3].title.set_text('Graph 4')
axes[3].set_ylim([0,6000])
为 24 小时制定义 x 轴
axes[0].xaxis.set_major_locator(md.HourLocator(interval=1))
axes[0].xaxis.set_major_formatter(md.DateFormatter('%H:%M:%S'))
axes[1].xaxis.set_major_locator(md.HourLocator(interval=1))
axes[1].xaxis.set_major_formatter(md.DateFormatter('%H:%M:%S'))
axes[2].xaxis.set_major_locator(md.HourLocator(interval=1))
axes[2].xaxis.set_major_formatter(md.DateFormatter('%H:%M:%S'))
axes[3].xaxis.set_major_locator(md.HourLocator(interval=1))
axes[3].xaxis.set_major_formatter(md.DateFormatter('%H:%M:%S'))
axes[0].plot(datargraph1['Timestamp'], datargraph1['CurrentCPS'], color='b')
axes[1].plot(datargraph2['Timestamp'], datargraph2['CurrentCPS'], color='r')
axes[2].plot(datagraph3['Timestamp'], datagraph3['CurrentCPS'], color='g')
axes[3].plot(datagraph4['Timestamp'], datagraph4['CurrentCPS'], color='y')
plt.show()
但我收到错误
定位器尝试从 691587.6916666667 到 735781.8166666667 生成 1060660 个刻度：超过 Locator.MAXTICKS
